Semantic Web Rule Language
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The Semantic Web Rule Language (SWRL) is a proposed language for the
Semantic Web The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding o ...
that can be used to express rules as well as logic, combining OWL DL or OWL Lite with a subset of the Rule Markup Language (itself a subset of
Datalog Datalog is a declarative logic programming language. While it is syntactically a subset of Prolog, Datalog generally uses a bottom-up rather than top-down evaluation model. This difference yields significantly different behavior and properties ...
). The specification was submitted in May 2004 to the
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by the
National Research Council of Canada The National Research Council Canada (NRC; ) is the primary national agency of the Government of Canada dedicated to science and technology research and development. It is the largest federal research and development organization in Canada. Th ...
, Network Inference (since acquired by webMethods), and
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in association with the Joint US/EU ad hoc Agent Markup Language Committee. The specification was based on an earlier proposal for an OWL rules language. SWRL has the full power of OWL DL, but at the price of decidability and practical implementations. However, decidability can be regained by restricting the form of admissible rules, typically by imposing a suitable safety condition. Rules are of the form of an implication between an antecedent (body) and a consequent (head). The intended meaning can be read as: whenever the conditions specified in the antecedent hold, then the conditions specified in the consequent must also hold.


Example


Human Readable Syntax

hasParent(?x1,?x2) ∧ hasBrother(?x2,?x3) ⇒ hasUncle(?x1,?x3)


XML Concrete Syntax

The
XML Extensible Markup Language (XML) is a markup language and file format for storing, transmitting, and reconstructing data. It defines a set of rules for encoding electronic document, documents in a format that is both human-readable and Machine-r ...
Concrete Syntax is a combination of the ''OWL Web Ontology Language XML Presentation Syntax'' with the ''RuleML XML syntax''. x1 x2 x2 x3 x1 x3


RDF Concrete Syntax

It is straightforward to provide such an RDF concrete syntax for rules, but the presence of variables in rules goes beyond the RDF Semantics. Translation from the XML Concrete Syntax to
RDF/XML RDF/XML is a syntax,RDF/XML Syntax Specification
XSLT XSLT (Extensible Stylesheet Language Transformations) is a language originally designed for transforming XML documents into other XML documents, or other formats such as HTML for web pages, plain text, or XSL Formatting Objects. These formats c ...
transformation for the OWL XML Presentation syntax.


Implementations

Caveat: Reasoners do not support the full specification because the reasoning becomes undecidable. There can be three types of approach: # translate SWRL into First Order Logic (Hoolet) and demonstrate reasoning tasks with a theorem prover; # translate OWL-DL into rules and give the rules to a forward chaining engine (Bossam) (this approach cannot cover the full expressivity of OWL-DL due to many incompatibilities between Description Logic and Horn Rule formalisms) # expand an existing OWL-DL reasoner based on the tableaux algorithm (Pellet). #
Protégé Mentorship is the patronage, influence, guidance, or direction given by a mentor. A mentor is someone who teaches or gives help and advice to a less experienced and often younger person. In an organizational setting, a mentor influences the perso ...
4.2 includes a Rules view in its Ontology Views that supports SWRL rules. # For older versions of Protégé, SWRLTab is an extension that supports editing and execution of SWRL rules

# R2ML (REWERSE Rule Markup Language) supports SWRL

# Bossam, a forward chaining rule engine supports SWRL

# Hoolet, an implementation of an OWL-DL reasoner that uses a first order prover supports SWRL

# Pellet, an open-source Java OWL DL reasoner has SWRL-support

# KAON2 is an infrastructure for managing OWL-DL, SWRL, and F-Logic ontologies

# RacerPro, supports the processing of rules in a SWRL-based syntax by translating them into nRQL rule

# Stardog is an RDF database or
triplestore A triplestore or RDF store is a purpose-built database for the storage and retrieval of triples through semantic queries. A triple is a data entity composed of subject– predicate– object, like "Bob is 35" (i.e., Bob's age measured in years i ...
that rewrites queries to answer questions using SWRL inferences


Comparison with Description Logic Programs

Description Logic Programs (DLPs) are another proposal for integrating rules and OWL. Compared with Description Logic Programs, SWRL takes a diametrically opposed integration approach. DLP is the intersection of Horn logic and OWL, whereas SWRL is (roughly) the union of them. In DLP, the resultant language is a very peculiar looking description logic and rather inexpressive language overall.


Future Directions and Applications of SWRL

As the Semantic Web continues to evolve, the role of SWRL in enabling automated reasoning and decision-making processes will likely expand. While current implementations, such as those found in Protégé and Pellet, provide significant capabilities, ongoing advancements in artificial intelligence and knowledge representation may lead to even more sophisticated reasoning engines that better handle the computational complexities introduced by SWRL. Furthermore, as data integration across diverse domains becomes increasingly critical, SWRL could play a pivotal role in enhancing interoperability between systems that utilize OWL ontologies. The combination of rules with ontologies, as facilitated by SWRL, remains a powerful mechanism for drawing inferences and uncovering relationships in large, distributed datasets, offering broad applicability in fields such as healthcare, finance, and semantic data analytics.


See also

*
Description Logic Description logics (DL) are a family of formal knowledge representation languages. Many DLs are more expressive than propositional logic but less expressive than first-order logic. In contrast to the latter, the core reasoning problems for DLs are ...
*
Web Ontology Language The Web Ontology Language (OWL) is a family of Knowledge representation and reasoning, knowledge representation languages for authoring Ontology (information science), ontologies. Ontologies are a formal way to describe Taxonomy, taxonomies and ...
- "OWL" *
Datalog Datalog is a declarative logic programming language. While it is syntactically a subset of Prolog, Datalog generally uses a bottom-up rather than top-down evaluation model. This difference yields significantly different behavior and properties ...
(query and rule language) *
Semantic Web The Semantic Web, sometimes known as Web 3.0, is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding o ...
* Semantic Grid *
Ontology (information science) In information science, an ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one, many, or all domains of discourse. More ...
* Business Intelligence 2.0 (BI 2.0) * Semantic wiki


References


External links


SWRL: A Semantic Web Rule Language Combining OWL and RuleML
W3C Member Submission 21 May 2004
A Proposal for a SWRL Extension towards First-Order Logic
W3C Member Submission 11 April 2005
OWL Web Ontology Language XML Presentation Syntax
W3C Note 11 June 2003 {{Semantic Web Semantic Web Knowledge representation languages