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What is Semantic Web Rules

Encyclopedia of Knowledge Management, Second Edition
Still a ‘hot’ topic in a Semantic Web context. The present proposals (like RuleML, TRIPLE or SWRL) are based on an expansion of the classical ‘logic programming’ paradigm where the inferential properties of Prolog/Datalog are extended to deal with RDF/OWL knowledge bases.
Published in Chapter:
RDF and OWL for Knowledge Management
Gian Piero Zarri (University Paris Est and LISSI Laboratory, France)
Copyright: © 2011 |Pages: 19
DOI: 10.4018/978-1-59904-931-1.ch130
Abstract
As Web-based content becomes an increasingly important knowledge management resource, Webbased technologies are developing to help harness that resource in a more effective way. The current state of these Web-based technology – the ‘first generation’ or ‘syntactic’ Web – gives rise to well known, serious problems when trying to accomplish in a non-trivial way essential management tasks like indexing, searching, extracting, maintaining and generating information. These tasks would, in fact, require some sort of ‘deep understanding’ of the information dealt with: in a ‘syntactic’ Web context, on the contrary, computers are only used as tools for posting and rendering information by brute force. Faced with this situation, Tim Berners-Lee first proposed a sort of ‘Semantic Web’ (SW) where the access to information is based mainly on the processing of the semantic properties of this information: “… the Semantic Web is an extension of the current Web in which information is given well-defined meaning (emphasis added), better enabling computers and people to work in co-operation” (Berners-Lee et al., 2001: 35). The Semantic Web’s challenge consists then in being able to manage information on the Web by ‘understanding’ its proper semantic content (its meaning), and not simply by matching some keywords.
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Using Semantic Web Tools for Ontologies Construction
Still a ‘hot’ topic in a Semantic Web context. The present proposals (like RuleML, TRIPLE or SWRL) are based on an expansion of the classical ‘logic programming’ paradigm where the inferential properties of Prolog/Datalog are extended to deal with RDF/OWL knowledge bases. Examples of Semantic Web rules in RuleML are the ‘derivation rules’ (i.e., rules used to automatically defining derived concepts), the ‘reaction rules’ (for specifying the reactive behavior of a given system in response to specific events), the ‘transformation rules’ (used to implement translators between different versions of RuleML, and between RuleML and other rule languages like Jess), etc.
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