SWI-Prolog/XPCE Semantic Web Library


Jan Wielemaker
HCS,
University of Amsterdam
The Netherlands
E-mail: wielemak@science.uva.nl

Abstract

This document describes a library for dealing with standards from the W3C standard for the Semantic Web. Like the standards themselves (RDF, RDFS and OWL) this infrastructure is modular. It consists of Prolog packages for reading, querying and storing semantic web documents as well as XPCE libraries that provide visualisation and editing. The Prolog libraries can be used without the XPCE GUI modules. The library has been actively used with upto 10 million triples, using approximately 1GB of memory. Its scalability is limited by memory only. The library can be used both on 32-bit and 64-bit platforms.

Table of Contents

1 Introduction

SWI-Prolog has started support for web-documents with the development of a small and fast SGML/XML parser, followed by an RDF parser (early 2000). With the semweb library we provide more high level support for manipulating semantic web documents. The semantic web is the likely point of orientation for knowledge representation in the future, making a library designed in its spirit promising.

2 Modules

Central to this library is the module rdf_db.pl, providing storage and basic querying for RDF triples. This triple store is filled using the RDF parser realised by rdf.pl. The storage module can quickly save and load (partial) databases. The modules rdfs.pl and owl.pl add querying in terms of the more powerful RDFS and OWL languages. Module rdf_edit.pl adds editing, undo, journaling and change-forwarding. Finally, a variety of XPCE modules visualise and edit the database. Figure figure 1 summarised the modular design.

Figure 1 : Modules for the Semantic Web library

3 Module rdf_db

The central module is called rdf_db. It provides storage and indexed querying of RDF triples. Triples are stored as a quintuple. The first three elements denote the RDF triple. File and Line provide information about the origin of the triple.

{Subject Predicate Object File Line}

The actual storage is provided by the foreign language (C) module rdf_db.c. Using a dedicated C-based implementation we can reduced memory usage and improve indexing capabilities. (1) Currently the following indexing is provided.

3.1 Query the RDF database

rdf(?Subject, ?Predicate, ?Object)
Elementary query for triples. Subject and Predicate are atoms representing the fully qualified URL of the resource. Object is either an atom representing a resource or literal(Value) if the object is a literal value. If a value of the form NameSpaceID : LocalName is provided it is expanded to a ground atom using expand_goal/2. This implies you can use this construct in compiled code without paying a preformance penalty. See also section 3.5. Literal values take one of the following forms:

Atom
If the value is a simple atom it is the textual representation of a string literal without explicit type or language (xml:lang) qualifier.

lang(LangID, Atom)
Atom represents the text of a string literal qualified with the given language.

type(TypeID, Value)
Used for attributes qualified using the rdf:datatype TypeID. The Value is either the textual representation or a natural Prolog representation. See the option convert_typed_literal(:Convertor) of the parser. The storage layer provides efficient handling of atoms, integers (64-bit) and floats (native C-doubles). All other data is represented as a Prolog record.

For string querying purposes, Object can be of the form literal(+Query, -Value), where Query is one of the terms below. Details of literal matching and indexing are described in section 3.1.1.

exact(+Text)
Perform exact, but case-insensitive match. This query is fully indexed.

substring(+Text)
Match any literal that contains Text as a case-insensitive substring. The query is not indexed on Object.

word(+Text)
Match any literal that contains Text delimited by a non alpha-numeric character, the start or end of the string. The query is not indexed on Object.

prefix(+Text)
Match any literal that starts with Text. This call is intended for completion. The query is not indexed on Object.

like(+Pattern)
Match any literal that matches Pattern case insensitively, where the `*' character in Pattern matches zero or more characters.

Backtracking never returns duplicate triples. Duplicates can be retrieved using rdf/4.

rdf(?Subject, ?Predicate, ?Object, ?Source)
As rdf/3 but in addition return the source-location of the triple. The source is either a plain atom or a term of the format Atom : Integer where Atom is intended to be used as filename or URL and Integer for representing the line-number. Unlike rdf/3, this predicate does not remove duplicates from the result set.

rdf_has(?Subject, ?Predicate, ?Object, -TriplePred)
This query exploits the RDFS subPropertyOf relation. It returns any triple whose stored predicate equals Predicate or can reach this by following the recursive subPropertyOf relation. The actual stored predicate is returned in TriplePred. The example below gets all subclasses of an RDFS (or OWL) class, even if the relation used is not rdfs:subClassOf, but a user-defined sub-property thereof. (2)


subclasses(Class, SubClasses) :-
        findall(S, rdf_has(S, rdfs:subClassOf, Class), SubClasses).

Note that rdf_has/4 and rdf_has/3 can return duplicate answers if they use a different TriplePred.

rdf_has(?Subject, ?Predicate, ?Object)
Same as rdf_has(Subject, Predicate, Object, _).

rdf_reachable(?Subject, +Predicate, ?Object)
Is true if Object can be reached from Subject following the transitive predicate Predicate or a sub-property thereof. When used with either Subject or Object unbound, it first returns the origin, followed by the reachable nodes in breath-first search-order. It never generates the same node twice and is robust against cycles in the transitive relation. With all arguments instantiated it succeeds deterministically of the relation if a path can be found from Subject to Object. Searching starts at Subject, assuming the branching factor is normally lower. A call with both Subject and Object unbound raises an instantiation error. The following example generates all subclasses of rdfs:Resource:


?- rdf_reachable(X, rdfs:subClassOf, rdfs:'Resource').

X = 'http://www.w3.org/2000/01/rdf-schema#Resource' ;

X = 'http://www.w3.org/2000/01/rdf-schema#Class' ;

X = 'http://www.w3.org/1999/02/22-rdf-syntax-ns#Property' ;

...

rdf_subject(?Subject)
Enumerate resources appearing as a subject in a triple. The main reason for this predicate is to generate the known subjects without duplicates as one gets using rdf(Subject, _, _).

3.1.1 Literal matching and indexing

Starting with version 2.5.0 of this library, literal values are ordered and indexed using a balanced binary tree (AVL tree). The aim of this index is threefold.

As string literal matching is most frequently used for searching purposes, the match is executed case-insensitive and after removal of diacritics. Case matching and diacritics removal is based on Unicode character properties and independent from the current locale. Case conversion is based on the `simple uppercase mapping' defined by Unicode and diacritic removal on the `decomposition type'. The approach is lightweight, but somewhat simpleminded for some languages. The tables are generated for Unicode characters upto 0x7fff. For more information, please check the source-code of the mapping-table generator unicode_map.pl available in the sources of this package.

Currently the total order of literals is first based on the type of literal using the ordering

numeric < string < term
Numeric values (integer and float) are ordered by value, integers preceed floats if they represent the same value. strings are sorted alphabetically after case-mapping and diacritic removal as described above. If they match equal, uppercase preceeds lowercase and diacritics are ordered on their unicode value. If they still compare equal literals without any qualifier preceeds literals with a type qualifier which preceeds literals with a language qualifier. Same qualifiers (both type or both language) are sorted alphabetically. (4)

The ordered tree is used for indexed execution of literal(prefix(Prefix), Literal) as well as literal(like(Like), Literal) if Like does not start with a `*'.

3.2 Predicate properties

The predicates below form an experimental interface to provide more reasoning inside the kernel of the rdb_db engine. Note that symetric, inverse_of and transitive are not yet supported by the rest of the engine.

rdf_current_predicate(?Predicate)
Enumerate all defined predicates. Behaves as the code below, but much more efficient.


rdf_current_predicate(Predicate) :-
        findall(P, rdf(_,P,_), Ps),
        sort(Ps, S),
        member(Predicate, S).

rdf_set_predicate(+Predicate, +Property)
Define a property of the predicate. Defined properties are listed with rdf_predicate_property/2.

rdf_predicate_property(?Predicate, -Property)
Query properties of a defined predicate. Currently defined properties are given below.

symmetric(Bool)
True if the predicate is defined to be symetric. I.e. {A} P {B} implies {B} P {A}.

inverse_of(Inverse)
True if this predicate is the inverse of Inverse.

transitive(Bool)
True if this predicate is transitive.

triples(Triples)
Unify Triples with the number of existing triples using this predicate as second argument. Reporting the number of triples is intended to support query optimization.

rdf_subject_branch_factor(-Float)
Unify Float with the average number of triples associated with each unique value for the subject-side of this relation. If there are no triples the value 0.0 is returned. This value is cached with the predicate and recomputed only after substantial changes to the triple set associated to this relation. This property is indented for path optimalisation when solving conjunctions of rdf/3 goals.

rdf_object_branch_factor(-Float)
Unify Float with the average number of triples associated with each unique value for the object-side of this relation. In addition to the comments with the subject_branch_factor property, uniqueness of the object value is computed from the hash key rather than the actual values.

rdfs_subject_branch_factor(-Float)
Same as rdf_subject_branch_factor/1 , but also considering triples of `subPropertyOf' this relation. See also rdf_has/3.

rdfs_object_branch_factor(-Float)
Same as rdf_object_branch_factor/1 , but also considering triples of `subPropertyOf' this relation. See also rdf_has/3.

3.3 Modifying the database

As depicted in figure 1, there are two levels of modification. The rdf_db module simply modifies, where the rdf_edit library provides transactions and undo on top of this. Applications that wish to use the rdf_edit layer must never use the predicates from this section directly.

3.3.1 Modifying predicates

rdf_assert(+Subject, +Predicate, +Object)
Assert a new triple into the database. This is equivalent to rdf_assert/4 using SourceRef user. Subject and Predicate are resources. Object is either a resource or a term literal(Value). See rdf/3 for an explanation of Value for typed and language qualified literals. All arguments are subject to name-space expansion (see section 3.5).

rdf_assert(+Subject, +Predicate, +Object, +SourceRef)
As rdf_assert/3, adding SourceRef to specify the orgin of the triple. SourceRef is either an atom or a term of the format Atom:Int where Atom normally refers to a filename and Int to the line-number where the description starts.

rdf_retractall(?Subject, ?Predicate, ?Object)
Removes all matching triples from the database. Previous Prolog implementations also provided a backtracking rdf_retract/3, but this proved to be rarely used and could always be replaced with rdf_retractall/3. As rdf_retractall/4 using an unbound SourceRef.

rdf_retractall(?Subject, ?Predicate, ?Object, ?SourceRef)
As rdf_retractall/4, also matching on the SourceRef. This is particulary useful to update all triples coming from a loaded file.

rdf_update(+Subject, +Predicate, +Object, +Action)
Replaces one of the three fields on the matching triples depending on Action:

subject(Resource)
Changes the first field of the triple.

predicate(Resource)
Changes the second field of the triple.

object(Object)
Changes the last field of the triple to the given resource or literal(Value).

source(Source)
Changes the source location (payload). Note that updating the source has no consequences for the semantics and therefore the generation (see rdf_generation/1) is not updated.

rdf_update(+Subject, +Predicate, +Object, +Source,+Action)
As rdf_update/4 but allows for specifying the source.

3.3.2 Transactions

The predicates from section 3.3.1 perform immediate and atomic modifications to the database. There are two cases where this is not desirable:

  1. If the database is modified using information based on reading the same database. A typical case is a forward reasoner examining the database and asserting new triples that can be deduced from the already existing ones. For example, if length(X) > 2 then size(X) is large:

    
            (   rdf(X, length, literal(L)),
                atom_number(L, IL),
                IL > 2,
                rdf_assert(X, size, large),
                fail
            ;   true
            ).
    

    Running this code without precautions causes an error because rdf_assert/3 tries to get a write lock on the database which has an a read operation (rdf/3 has choicepoints) in progress.

  2. Multi-threaded access making multiple changes to the database that must be handled as a unit.

Where the second case is probably obvious, the first case is less so. The storage layer may require reindexing after adding or deleting triples. Such reindexing operatations however are not possible while there are active read operations in other threads or from choicepoints that can be in the same thread. For this reason we added rdf_transaction/2. Note that, like the predicates from section 3.3.1, rdf_transaction/2 raises a permission error exception if the calling thread has active choicepoints on the database. The problem is illustrated below. The rdf/3 call leaves a choicepoint and as the read lock originates from the calling thread itself the system will deadlock if it would not generate an exception.


1 ?- rdf_assert(a,b,c).
 
Yes
2 ?- rdf_assert(a,b,d).
 
Yes
3 ?- rdf(a,b,X), rdf_transaction(rdf_assert(a,b,e)).
ERROR: No permission to write rdf_db `default' (Operation would deadlock)
^  Exception: (8) rdf_db:rdf_transaction(rdf_assert(a, b, e)) ? no debug
4 ?-

rdf_transaction(:Goal)
Same as

rdf_transaction(Goal, user)
.

rdf_transaction(:Goal, +Id)
After starting a transaction, all predicates from section 3.3.1 append their operation to the transaction instead of modifying the database. If Goal succeeds rdf_transaction cuts all choicepoints in Goal and executes all recorded operations. If Goal fails or throws an exception, all recorded operations are discarded and rdf_transaction/1 fails or re-throws the exception.

On entry, rdf_transaction/1 gains exclusive access to the database, but does allow readers to come in from all threads. After the successful completion of Goal rdf_transaction/1 gains completely exclusive access while performing the database updates.

Transactions may be nested. Committing a nested transactions merges its change records into the outer transaction, while discarding a nested transaction simply destroys the change records belonging to the nested transaction.

The Id argument may be used to identify the transaction. It is passed to the begin/end events posted to hooks registered with rdf_monitor/2.

3.4 Loading and saving to file

The rdf_db module can read and write RDF-XML for import and export as well as a binary format built for quick load and save described in section 3.4.2. Here are the predicates for portable RDF load and save.

rdf_load(+InOrList)
Load triples from In, which is either a stream opened for reading, an atom specifying a filename or a list of valid inputs. This predicate calls process_rdf/3 to read the source one description at a time, avoiding limits to the size of the input. If In is a file, rdf_load/1 provides for caching the results for quick-load using rdf_load_db/1 described below. Caching is activated by creating a directory .cache (or _cache on Windows) in the directory holding the .rdf files. Cached RDF files are loaded at approx. 25 times the speed of RDF-XML files.

rdf_load(+FileOrList, +Options)
As rdf_load/1, providing additional options. The options are handed to the RDF parser as implemented by process_rdf/3.

rdf_unload(+Spec)
Remove all triples loaded from Spec. Spec is either the name of a loaded database (see rdf_source/1) or a file specification. If Spec does not refer to a loaded database the predicate succeeds silently.

rdf_save(+File)
Save all known triples to the given File. Same as rdf_save(File,).

rdf_save(+File, +Options)
Save with options. Provided options are:

db(+FileRef)
Save all triples whose file-part of their SourceRef matches FileRef to the given File. Saving arbitrary selections is possible using predicates from section 3.4.1.

anon(+Bool)
if anon(false) is provided anonymous resources are only saved if the resource appears in the object field of another triple that is saved.

convert_typed_literal(:Converter)
If present, raw literal values are first passed to Converter to apply the reverse of the convert_typed_literal option of the RDF parser. The Converter is called with the same arguments as in the RDF parser, but now with the last argument instantiated and the first two unbound. A proper convertor that can be used for both loading and saving must be a logical predicate.

encoding(+Encoding)
Define the XML encoding used for the file. Defined values are utf8 (default), iso_latin_1 and ascii. Using iso_latin_1 or ascii, characters not covered by the encoding are emitted as XML character entities (&#...;).

document_language(+XMLLang)
The value XMLLang is used for the xml:lang attribute in the outermost rdf:RDF element. This language acts as a default, which implies that the xml:lang tag is only used for literals with a different language identifier. Please note that this option will cause all literals without language tag to be interpreted using XMLLang.

rdf_source(?File)
Test or enumerate the files loaded using rdf_load/1.

rdf_make
Re-load all RDF sourcefiles (see rdf_source/1) that have changed since they were loaded the last time. This implies all triples that originate from the file are removed and the file is re-loaded. If the file is cached a new cache-file is written. Please note that the new triples are added at the end of the database, possibly changing the order of (conflicting) triples.

3.4.1 Partial save

Sometimes it is necessary to make more arbitrary selections of material to be saved or exchange RDF descriptions over an open network link. The predicates in this section provide for this. Character encoding issues are derived from the encoding of the Stream, providing support for utf8, iso_latin_1 and ascii.

rdf_save_header(+Stream, +Options)
Save an RDF header, with the XML header, DOCTYPE, ENTITY and opening the rdf:RDF element with appropriate namespace declarations. It uses the primitives from section 3.5 to generate the required namespaces and desired short-name. Options is one of:

db(+FileRef)
Only search for namespaces used in triples labeled with FileRef.

namespaces(+List)
Where List is a list of namespace abbreviations (see section 3.5). With this option, the expensive search for all namespaces that may be used by your data is omitted. The namespaces rdf and rdfs are added to the provided List. If a namespace is not declared, the resource is emitted in non-abreviated form.

rdf_save_footer(+Stream)
Close the work opened with rdf_save_header/2.

rdf_save_subject(+Stream, +Subject, +FileRef)
Save everything known about Subject that matches FileRef. Using an variable for FileRef saves all triples with Subject.

rdf_quote_uri(+URI, -Quoted)
uote a UNICODE URI. First the Unicode is represented as UTF-8 and then the unsafe characters are mapped to be represented as US-ASCII.

3.4.2 Fast loading and saving

Loading and saving RDF format is relatively slow. For this reason we designed a binary format that is more compact, avoids the complications of the RDF parser and avoids repetitive lookup of (URL) identifiers. Especially the speed improvement of about 25 times is worth-while when loading large databases. These predicates are used for caching by rdf_load/[1,2] under certain conditions.

rdf_save_db(+File)
Save all known triples into File. The saved version includes the SourceRef information.

rdf_save_db(+File, +FileRef)
Save all triples with SourceRef FileRef, regardless of the line-number. For example, using user all information added using rdf_assert/3 is stored in the database.

rdf_load_db(+File)
Load triples from File.

3.4.3 MD5 digests

The rdf_db library provides for MD5 digests. An MD5 digest is a 128 bit long hash key computed from the triples based on the RFC-1321 standard. MD5 keys are computed for each individual triple and added together to compute the final key, resulting in a key that describes the triple-set but is independant from the order in which the triples appear. It is claimed that it is practically impossible for two different datasets to generate the same MD5 key. The Triple20 editor uses the MD5 key for detecting whether the triples associated to a file have changed as well as to maintain a directory with snapshots of versioned ontology files.

rdf_md5(+Source, -MD5)
Return the MD5 digest for all triples in the database associated to Source. The MD5 digest itself is represented as an atom holding a 32-character hexadecimal string. The library maintains the digest incrementally on rdf_load/[1,2], rdf_load_db/1, rdf_assert/[3,4] and rdf_retractall/[3,4]. Checking whether the digest has changed since the last rdf_load/[1,2] call provides a practical means for checking whether the file needs to be saved.

rdf_atom_md5(+Text, +Times, -MD5)
Computes the MD5 hash from Text, which is an atom, string or list of character codes. Times is an integer >= 1. When > 0, the MD5 algorithm is repeated Times times on the generated hash. This can be used for password encryption algorithms to make generate-and-test loops slow.

This predicate bears little relation to RDF handling. It is provided because the RDF library already contains the MD5 algorithm and semantic web services may involve security and consistency checking. This predicate provides a platform independant alternative to the library(crypt) library provided with the clib package.

3.5 Namespace Handling

Prolog code often contains references to constant resources in a known XML namespace. For example, http://www.w3.org/2000/01/rdf-schema#Class refers to the most general notion of a class. Readability and maintability concerns require for abstraction here. The dynamic and multifile predicate rdf_db:ns/2 maintains a mapping between short meaningful names and namespace locations very much like the XML xmlns construct. The initial mapping contains the namespaces required for the semantic web languages themselves:


ns(rdf,  'http://www.w3.org/1999/02/22-rdf-syntax-ns#').
ns(rdfs, 'http://www.w3.org/2000/01/rdf-schema#').
ns(owl,  'http://www.w3.org/2002/7/owl#').
ns(xsd,  'http://www.w3.org/2000/10/XMLSchema#').
ns(dc,   'http://purl.org/dc/elements/1.1/').
ns(eor,  'http://dublincore.org/2000/03/13/eor#').

All predicates for the semweb libraries use goal_expansion/2 rules to make the SWI-Prolog compiler rewrite terms of the form Id : Local into the fully qualified URL. In addition, the following predicates are supplied:

rdf_equal(Resource1, Resource2)
Defined as Resource1 = Resource2. As this predicate is subject to goal-expansion it can be used to obtain or test global URL values to readable values. The following goal unifies X with http://www.w3.org/2000/01/rdf-schema#Class without more runtime overhead than normal Prolog unification.


        rdf_equal(rdfs:'Class', X)

rdf_register_ns(+Alias, +URL)
Same as rdf_register_ns(Alias, URL,).

rdf_register_ns(+Alias, +URL, +Options)
Register Alias as a shorthand for URL. Note that the registration must be done before loading any files using them as namespace aliases are handled at compiletime through goal_expansion/2. If Alias already exists the default is to raise a permission error. If the option force(true) is provided, the alias is silently modified. Rebinding an alias must be done before any code is compiled that relies on the alias. If the option keep(true) is provided the new registration is silently ignored.

rdf_global_id(?Alias:Local, ?Global)
Runtime translation between Alias and Local and a Global URL. Expansion is normally done at compiletime. This predicate is often used to turn a global URL into a more readable term.

rdf_global_object(?Object, ?NameExpandedObject)
As rdf_global_id/2, but also expands the type field if the object is of the form literal(type(Type, Value)). This predicate is used for goal expansion of the object fields in rdf/3 and similar goals.

rdf_global_term(+Term0, -Term)
Expands all Alias:Local in Term0 and return the result in Term. Use infrequently for runtime expansion of namespace identifiers.

rdf_split_url(?Base, ?Local, ?URL)
Split a URL into a prefix and local part if used in mode -,-,+ or simply behave as atom_concat/3 in other modes. The URL is split on the last # or / character.

3.5.1 Namespace handling for custom predicates

If we implement a new predicate based on one of the predicates of the semweb libraries that expands namespaces, namespace expansion is not automatically available to it. Consider the following code computing the number of distinct objects for a certain property on a certain object.


cardinality(S, P, C) :-
        (   setof(O, rdf_has(S, P, O), Os)
        ->  length(Os, C)
        ;   C = 0
        ).

Now assume we want to write labels/2 that returns the number of distict labels of a resource:


labels(S, C) :-
        cardinality(S, rdfs:label, C).

This code will not work as rdfs:label is not expanded at compile time. To make this work, we need to add an rdf_meta/1 declaration.


:- rdf_meta
        cardinality(r,r,-).

rdf_meta(Heads)
This predicate defines the argument types of the named predicates, which will force compile time namespace expansion for these predicates. Heads is a coma-separated list of callable terms. Defined argument properties are:

:
Argument is a goal. The goal is processed using expand_goal/2, recursively applying goal transformation on the argument.

+
The argument is instantiated at entry. Nothing is changed.

-
The argument is not instantiated at entry. Nothing is changed.

?
The argument is unbound or instantiated at entry. Nothing is changed.

@
The argument is not changed.

r
The argument must be a resource. If it is a term <namespace>:<local> it is translated.

o
The argument is an object or resource.

t
The argument is a term that must be translated. Expansion will translate all occurences of <namespace>:<local> appearing anywhere in the term.

As it is subject to term_expansion/2, the rdf_meta/1 declaration can only be used as a directive. The directive must be processed before the definition of the predicates as well as before compiling code that uses the rdf meta-predicates. The atom rdf_meta is declared as an operator exported from library rdf_db.pl. Files using rdf_meta/1 must explicitely load rdf_db.pl.

Below are some examples from rdf_db.pl


:- rdf_meta
        rdf(r,r,o),
        rdf_source_location(r,-),
        rdf_transaction(:).

3.6 Monitoring the database

Considering performance and modularity, we are working on a replacement of the rdf_edit (see section 6) layered design to deal with updates, journalling, transactions, etc. Where the rdf_edit approach creates a single layer on top of rdf_db and code using the RDF database must select whether to use rdf_db.pl or rdf_edit.pl, the new approach allows to register monitors. This allows multiple modules to provide additional services, while these services will be used regardless of how the database is modified.

rdf_monitor(:Goal, +Mask)
Goal is called for modifications of the database. It is called with a single argument that describes the modification. Defined events are:

assert(+S, +P, +O, +DB)
A triple has been asserted.

retract(+S, +P, +O, +DB)
A triple has been deleted.

update(+S, +P, +O, +DB, +Action)
A triple has been updated.

new_literal(+Literal)
A new literal has been created. Literal is the argument of literal(Arg) of the triple's object. This event is introduced in version 2.5.0 of this library.

old_literal(+Literal)
The literal Literal is no longer used by any triple.

transaction(+BeginOrEnd, +Id)
Mark begin or end of the commit of a toplevel transaction started by rdf_transaction/2. BeginOrEnd is begin or end. Id is the second argument of rdf_transaction/2. The following transaction Ids are pre-defined by the library:

parse(Id)
A file is loaded using rdf_load/2. Id is one of file(Path) or stream(Stream).

unload(DB)
All triples with source DB are being unloaded using rdf_unload/1.

reset
Issued by rdf_reset_db/0.

load(+BeginOrEnd, +Spec)
Mark begin or end of rdf_load_db/1 or load through rdf_load/2 from a cached file. Spec is currently defined as file(Path).

rehash(+BeginOrEnd)
Marks begin/end of a re-hash due to required re-indexing or garbage collection.

Mask is a list of events this monitor is interested in. Default (empty list) is to report all events. Otherwise each element is of the form +Event or -Event to include or exclude monitoring for certain events. The event-names are the functor names of the events described above. The special name all refers to all events and assert(load) to assert events originating from rdf_load_db/1. As loading triples using rdf_load_db/1 is very fast, monitoring this at the triple level may seriously harm performance.

This predicate is intended to maintain derived data, such as a journal, information for undo, additional indexing in literals, etc. There is no way to remove registered monitors. If this is required one should register a monitor that maintains a dynamic list of subscribers like the XPCE broadcast library. A second subscription of the same hook predicate only re-assignes the mask.

The monitor hooks are called in the order of registration and in the same thread that issued the database manipulation. To process all changes in one thread they should be send to a thread message queue. For all updating events, the monitor is called while the calling thread has a write lock on the RDF store. This implies that these events are processed strickly synchronous, even if modifications originate from multiple threads. In particular, the transaction begin, ... updates ... end sequence is never interleaved with other events. Same for load and parse.

3.7 Miscellaneous predicates

This section describes the remaining predicates of the rdf_db module.

rdf_node(-Id)
Generate a unique reference. The returned atom is guaranteed not to occur in the current database in any field of any triple.

rdf_bnode(-Id)
Generate a unique blank node reference. The returned atom is guaranteed not to occur in the current database in any field of any triple and starts with '__bnode'.

rdf_is_bnode(+Id)
Succeeds if Id is a blank node identifier (also called anonymous resource). In the current implementation this implies it is an atom starting with a double underscore.

rdf_source_location(+Subject, -SourceRef)
Return the source-location as File:Line of the first triple that is about Subject.

rdf_generation(-Generation)
Returns the Generation of the database. Each modification to the database increments the generation. It can be used to check the validity of cached results deduced from the database. Modifications changing multiple triples increment Generation with the number of triples modified, providing a heuristic for `how dirty' cached results may be.

rdf_estimate_complexity(?Subject, ?Predicate, ?Object, -Complexity)
eturn the number of alternatives as indicated by the database internal hashed indexing. This is a rough measure for the number of alternatives we can expect for an rdf_has/3 call using the given three arguments. When called with three variables, the total number of triples is returned. This estimate is used in query optimisation. See also rdf_predicate_property/2 and rdf_statistics/1 for additional information to help optimisers.

rdf_statistics(?Statistics)
Report statistics collected by the rdf_db module. Defined values for Statistics are:

lookup(?Index, -Count)
Number of lookups using a pattern of instantiated fields. Index is a term rdf(S,P,O), where S, P and O are either + or -. For example rdf(+,+,-) returns the lookups with subject and predicate specified and object unbound.

properties(-Count)
Number of unique values for the second field of the triple set.

sources(-Count)
Number of files loaded through rdf_load/1.

subjects(-Count)
Number of unique values for the first field of the triple set.

literals(-Count)
Total number of unique literal values in the database. See also section 3.1.1.

triples(-Count)
Total number of triples in the database.

triples_by_file(?File, -Count)
Enumerate the number of triples associated to each file.

searched_nodes(-Count)
Number of nodes explored in rdf_reachable/3.

gc(-Count, -Time)
Number of garbage collections and time spent in seconds represented as a float.

rehash(-Count, -Time)
Number of times the hash-tables were enlarged and time spent in seconds represented as a float.

core(-Bytes)
Core used by the triple store. This includes all memory allocated on behalf of the library, but not the memory allocated in Prolog atoms referenced (only) by the triple store.

rdf_match_label(+Method, +Search, +Atom)
True if Search matches Atom as defined by Method. All matching is performed case-insensitive. Defines methods are:

exact
Perform exact, but case-insensitive match.

substring
Search is a sub-string of Text.

word
Search appears as a whole-word in Text.

prefix
Text start with Search.

like
Text matches Search, case insensitively, where the `*' character in Search matches zero or more characters.

rdf_reset_db
Erase all triples from the database and reset all counts and statistics information.

rdf_version(-Version)
Unify Version with the library version number. This number is, like to the SWI-Prolog version flag, defined as 10,000 × Major + 100 × Minor + Patch.

3.8 Issues with rdf_db

This RDF low-level module has been created after two year experimenting with a plain Prolog based module and a brief evaluation of a second generation pure Prolog implementation. The aim was to be able to handle upto about 2 million triples on standard (notebook) hardware and deal efficiently with subPropertyOf which was identified as a crucial feature of RDFS to realise fusion of different data-sets.

The following issues are identified and not solved in suitable manner.

Logical update
as provided by Prolog means that active queries are not affected by subsequent modification of the database. The current C-based implementation adheres the immediate update model, mainly because the current foreign language interface does not provide the required information to realise logical updates in C.

subPropertyOf of subPropertyOf
is not supported.

Equivalence
Similar to subPropertyOf, it is likely to be profitable to handle resource identity efficient. The current system has no support for it.

4 Module rdfs

The library(rdfs) library adds interpretation of the triple store in terms of concepts from RDF-Schema (RDFS).

4.1 Hierarchy and class-individual relations

The predicates in this section explore the rdfs:subPropertyOf, rdfs:subClassOf and rdf:type relations. Note that the most fundamental of these, rdfs:subPropertyOf, is also used by rdf_has/[3,4].

rdfs_subproperty_of(?SubProperty, ?Property)
True if SubProperty is equal to Property or Property can be reached from SubProperty following the rdfs:subPropertyOf relation. It can be used to test as well as generate sub-properties or super-properties. Note that the commonly used semantics of this predicate is wired into rdf_has/[3,4]. (5). (6)

rdfs_subclass_of(?SubClass, ?Class)
True if SubClass is equal to Class or Class can be reached from SubClass following the rdfs:subClassOf relation. It can be used to test as well as generate sub-classes or super-classes. (7).

rdfs_class_property(+Class, ?Property)
True if the domain of Property includes Class. Used to generate all properties that apply to a class.

rdfs_individual_of(?Resource, ?Class)
True if Resource is an indivisual of Class. This implies Resource has an rdf:type property that refers to Class or a sub-class thereof. Can be used to test, generate classes Resource belongs to or generate individuals described by Class.

4.2 Collections and Containers

The RDF construct rdf:parseType=Collection constructs a list using the rdf:first and rdf:next relations.

rdfs_member(?Resource, +Set)
Test or generate the members of Set. Set is either an individual of rdf:List or rdf:Container.

rdfs_list_to_prolog_list(+Set, -List)
Convert Set, which must be an individual of rdf:List into a Prolog list of objects.

rdfs_assert_list(+List, -Resource)
Equivalent to rdfs_assert_list/3 using DB = user.

rdfs_assert_list(+List, -Resource, +DB)
If List is a list of resources, create an RDF list Resource that reflects these resources. Resource and the sublist resources are generated with rdf_bnode/1. The new triples are associated with the database DB.

4.3 Labels and textual search

Textual search is partly handled by the predicates from the library(rdf_db) module and its underlying C-library. For example, literal objects are hashed case-insensitive to speed up the commonly used case-insensitive search.

rdfs_label(?Resource, ?Language, ?Label)
Extract the label from Resource or generate all resources with the given Label. The label is either associated using a sub-property of rdfs:label or it is extracted from the URL using rdf_split_url/3. Language is unified to the value of the xml:lang attribute of the label or a variable if the label has no language specified.

rdfs_label(?Resource, ?Label)
Defined as rdfs_label(Resource, _, Label).

rdfs_ns_label(?Resource, ?Language, ?Label)
Similar to rdfs_label/2, but prefixes the result using the declared namespace alias (see section 3.5) to facilitate user-friendly labels in applications using multiple namespaces that may lead to confusion.

rdfs_ns_label(?Resource, ?Label)
Defined as rdfs_ns_label(Resource, _, Label).

rdfs_find(+String, +Description, ?Properties, +Method, -Subject)
Find (on backtracking) Subjects that satisfy a search specification for textual attributes. String is the string searched for. Description is an OWL description (see section 5) specifying candidate resources. Properties is a list of properties to search for literal objects, Method defines the textual matching algorithm. All textual mapping is performed case-insensitive. The matching-methods are described with rdf_match_label/3. If Properties is unbound, the search is performed in any property and Properties is unified with a list holding the property on which the match was found.

5 Module owl

The current SemWeb library distributed with SWI-Prolog does not yet contain an OWL module. A module owl.pl is part of the Triple20 triple browser and editor provides limited support for OWL reasoning.

6 Module rdf_edit

It is anticipated that this library will eventually be superseeded by facilities running on top of the native rdf_transaction/2 and rdf_monitor/2 facilities. See section 3.6.

The module rdf_edit.pl is a layer than encasulates the modification predicates from section 3.3 for use from a (graphical) editor of the triple store. It adds the following features:

6.1 Transaction management

Transactions group low-level modification actions together.

rdfe_transaction(:Goal)
Run Goal, recording all modifications to the triple store made through section 6.3. Execution is performed as in once/1. If Goal succeeds the changes are committed. If Goal fails or throws an exception the changes are reverted.

Transactions may be nested. A failing nested transaction only reverts the actions performed inside the nested transaction. If the outer transaction succeeds it is committed normally. Contrary, if the outer transaction fails, comitted nested transactions are reverted as well. If any of the modifications inside the transaction modifies a protected file (see rdfe_set_file_property/2) the transaction is reverted and rdfe_transaction/1 throws a permission error.

A successful outer transaction (`level-0') may be undone using rdfe_undo/0.

rdfe_transaction(:Goal, +Name)
As rdfe_transaction/1, naming the transaction Name. Transaction naming is intended for the GUI to give the user an idea of the next undo action. See also rdfe_set_transaction_name/1 and rdfe_transaction_name/2.

rdfe_set_transaction_name(+Name)
Set the `name' of the current transaction to Name.

rdfe_transaction_name(?TID, ?Name)
Query assigned transaction names.

rdfe_transaction_member(+TID, -Action)
Enumerate the actions that took place inside a transaction. This can be used by a GUI to optimise the MVC (Model-View-Controller) feedback loop. Action is one of:

assert(Subject, Predicate, Object)

retract(Subject, Predicate, Object)

update(Subject, Predicate, Object, Action)

file(load(Path))

file(unload(Path))

6.2 File management

rdfe_is_modified(?File)
Enumerate/test whether File is modified sinds it was loaded or sinds the last call to rdfe_clear_modified/1. Whether or not a file is modified is determined by the MD5 checksum of all triples belonging to the file.

rdfe_clear_modified(+File)
Set the unmodified-MD5 to the current MD5 checksum. See also rdfe_is_modified/1.

rdfe_set_file_property(+File, +Property)
Control access right and default destination of new triples. Property is one of

access(+Access)
Where access is one of ro or rw. Access ro is default when a file is loaded for which the user has no write access. If a transaction (see rdfe_transaction/1) modifies a file with access ro the transaction is reversed.

default(+Default)
Set this file to be the default destination of triples. If Default is fallback it is only the default for triples that have no clear default destination. If it is all all new triples are added to this file.

rdfe_get_file_property(?File, ?Property)
Query properties set with rdfe_set_file_property/2.

6.3 Encapsulated predicates

The following predicates encapsulate predicates from the rdf_db module that modify the triple store. These predicates can only be called when inside a transaction. See rdfe_transaction/1.

rdfe_assert(+Subject, +Predicate, +Object)
Encapsulates rdf_assert/3.

rdfe_retractall(?Subject, ?Predicate, ?Object)
Encapsulates rdf_retractall/3.

rdfe_update(+Subject, +Predicate, +Object, +Action)
Encapsulates rdf_update/4.

rdfe_load(+In)
Encapsulates rdf_load/1.

rdfe_unload(+In)
Encapsulates rdf_unload/1.

6.4 High-level modification predicates

This section describes a (yet very incomplete) set of more high-level operations one would like to be able to perform. Eventually this set may include operations based on RDFS and OWL.

rdfe_delete(+Resource)
Delete all traces of resource. This implies all triples where Resource appears as subject, predicate or object. This predicate starts a transation.

6.5 Undo

Undo aims at user-level undo operations from a (graphical) editor.

rdfe_undo
Revert the last outermost (`level 0') transaction (see rdfe_transaction/1). Successive calls go further back in history. Fails if there is no more undo information.

rdfe_redo
Revert the last rdfe_undo/0. Successive calls revert more rdfe_undo/0 operations. Fails if there is no more redo information.

rdfe_can_undo(-TID)
Test if there is another transaction that can be reverted. Used for activating menus in a graphical environment. TID is unified to the transaction id of the action that will be reverted.

rdfe_can_redo(-TID)
Test if there is another undo that can be reverted. Used for activating menus in a graphical environment. TID is unified to the transaction id of the action that will be reverted.

6.6 Journalling

Optionally, every action through this module is immediately send to a journal-file. The journal provides a full log of all actions with a time-stamp that may be used for inspection of behaviour, version management, crash-recovery or an alternative to regular save operations.

rdfe_open_journal(+File, +Mode)
Open a existing or new journal. If Mode equala append and File exists, the journal is first replayed. See rdfe_replay_journal/1. If Mode is write the journal is truncated if it exists.

rdfe_close_journal
Close the currently open journal.

rdfe_current_journal(-Path)
Test whether there is a journal and to which file the actions are journalled.

rdfe_replay_journal(+File)
Read a journal, replaying all actions in it. To do so, the system reads the journal a transaction at a time. If the transaction is closed with a commit it executes the actions inside the journal. If it is closed with a rollback or not closed at all due to a crash the actions inside the journal are discarded. Using this predicate only makes sense to inspect the state at the end of a journal without modifying the journal. Normally a journal is replayed using the append mode of rdfe_open_journal/2.

6.7 Broadcasting change events

To realise a modular graphical interface for editing the triple store, the system must use some sort of event mechanism. This is implemented by the XPCE library library(broadcast) which is described in the XPCE User Guide. In this section we describe the terms brodcasted by the library.

rdf_transaction(+Id)
A `level-0' transaction has been committed. The system passes the identifier of the transaction in Id. In the current implementation there is no way to find out what happened inside the transaction. This is likely to change in time.

If a transaction is reverted due to failure or exception no event is broadcasted. The initiating GUI element is supposed to handle this possibility itself and other components are not affected as the triple store is not changed.

rdf_undo(+Type, +Id)
This event is broadcasted after an rdfe_undo/0 or rdfe_redo/0. Type is one of undo or redo and Id identifies the transaction as above.

7 Related packages and issues

The SWI-Prolog SemWeb package is designed to provide access to the Semantic Web languages from Prolog. It consists of the low level rdf_db.pl store with layers such as rdfs.pl to provide more high level querying of a triple set with relations such as rdfs_individual_of/2, rdfs_subclass_of/2, etc. SeRQL is a semantic web query language taking another route. Instead of providing alternative relations SeRQL defines a graph query on de deductive closure of the triple set. For example, under assumption of RDFS entailment rules this makes the query rdf(S, rdf:type, Class) equivalent to rdfs_individual_of(S, Class).

We developed a parser for SeRQL which compiles SeRQL path expressions into Prolog conjunctions of rdf(Subject, Predicate, Object) calls. Entailment modules realise a fully logical implementation of rdf/3 including the entailment reasoning required to deal with a Semantic Web language or application specific reasoning. The infra structure is completed with a query optimiser and an HTTP server compliant to the Sesame implementation of the SeRQL language. The Sesame Java client can be used to access Prolog servers from Java, while the Prolog client can be used to access the Sesame SeRQL server. For further details, see the project home.

Footnotes

note-1
The orginal implementation was in Prolog. This version was implemented in 3 hours, where the C-based implementation costed a full week. The C-based implementation requires about half the memory and provides about twice the performance.
note-2
This predicate realises semantics defined in RDF-Schema rather than RDF. It is part of the library(rdf_db) module because the indexing of this module incorporates the rdfs:subClassOf predicate.
note-3
Not yet implemented
note-4
The ordering defined above may change in future versions to deal with new queries for literals.
note-5
BUG: The current implementation cannot deal with cycles
note-6
BUG: The current implementation cannot deal with predicates that are an rdfs:subPropertyOf of rdfs:subPropertyOf, such as owl:samePropertyAs.
note-7
BUG: The current implementation cannot deal with cycles

Index

A
atom_concat/3
3.5
B
broadcast
6.7
C
Collection,parseType
4.2
E
event
6.7
expand_goal/2
3.1 3.5.1
G
goal_expansion/2
3.5 3.5
J
journal
6 6.6
L
labels/2
3.5.1
O
once/1
6.1
optimising,query
7
OWL
5
P
parseType,Collection
4.2
process_rdf/3
3.4 3.4
R
rdf/3
3 3.1 3.1 3.2 3.3.1 3.3.2 3.5 7
rdf/4
3.1
rdf_assert/3
3.3.1 3.3.2 3.4.2 6.3
rdf_assert/4
3.3.1
rdf_assert/[3,4]
3.4.3
rdf_atom_md5/3
rdf_bnode/1
4.2
rdf_current_predicate/1
rdfe_assert/3
rdfe_can_redo/1
rdfe_can_undo/1
rdfe_clear_modified/1
6.2
rdfe_close_journal/0
rdfe_current_journal/1
rdfe_delete/1
rdfe_get_file_property/2
rdfe_is_modified/1
6.2
rdfe_load/1
rdfe_open_journal/2
6.6
rdf_equal/2
rdfe_redo/0
6.7
rdfe_replay_journal/1
6.6
rdfe_retractall/3
rdfe_set_file_property/2
6.1 6.2
rdfe_set_transaction_name/1
6.1
rdf_estimate_complexity/?Subject, ?Predicate, ?Object, -Complexity
rdfe_transaction/1
6.1 6.1 6.2 6.3 6.5
rdfe_transaction/2
rdfe_transaction_member/2
rdfe_transaction_name/2
6.1
rdfe_undo/0
6.1 6.5 6.5 6.7
rdfe_unload/1
rdfe_update/4
rdf_generation/1
3.3.1
rdf_global_id/2
3.5
rdf_global_object/2
rdf_global_term/2
rdf_has/3
3.1 3.2 3.2 3.7
rdf_has/4
3 3.1
rdf_has/[3,4]
4.1 4.1
rdf_is_bnode/1
rdf_load/1
3.4 3.4 3.4 3.7 6.3
rdf_load/2
3.6 3.6
rdf_load/[1,2]
3.4.2 3.4.3 3.4.3
rdf_load_db/1
3.4 3.4.3 3.6 3.6 3.6
rdf_make/0
rdf_match_label/3
4.3
rdf_md5/2
rdf_meta/1
3.5.1 3.5.1 3.5.1
rdf_monitor/2
3.1.1 3.3.2 6
rdf_node/1
rdf_predicate_property/2
3.2 3.7
rdf_quote_uri/+URI, -Quoted
rdf_reachable/3
3.7
rdf_register_ns/2
rdf_reset_db/0
3.6
rdf_retractall/3
3.3.1 6.3
rdf_retractall/4
3.3.1 3.3.1
rdf_retractall/[3,4]
3.4.3
rdfs_assert_list/2
rdfs_assert_list/3
4.2
rdf_save/1
rdf_save/2
rdf_save_db/1
rdf_save_footer/1
rdf_save_header/2
3.4.1
rdf_save_subject/3
RDF-Schema
4
rdfs_class_property/2
rdf_set_predicate/2
rdfs_find/5
rdfs_individual_of/2
7
rdfs_label/2
4.3
rdfs_label/3
rdfs_list_to_prolog_list/2
rdfs_member/2
rdfs_ns_label/2
rdfs_ns_label/3
rdf_source/1
3.4 3.4
rdf_source_location/2
rdf_split_url/3
4.3
rdfs_subclass_of/2
7
rdfs_subproperty_of/2
rdf_statistics/1
3.7
rdf_subject/1
rdf_transaction/1
3.3.2 3.3.2 3.3.2
rdf_transaction/2
3.3.2 3.3.2 3.6 3.6 6
rdf_unload/1
3.6 6.3
rdf_update/4
3.3.1 6.3
rdf_update/5
rdf_version/1
S
search
4.3
SeRQL
7
Sesame
7
T
term_expansion/2
3.5.1
transaction
3.3.2
transactions
6
U
undo
6 6.5