BOOK-CHAPTER

Rule-Based OWL Ontology Reasoning Systems

Abstract

This chapter is focused on the basic principles behind the utilization of rules in order to perform reasoning about the Web Ontology Language (OWL), a Description Logic-based language that is the W3C recommendation for creating and sharing ontologies in the Semantic Web. More precisely, we elaborate on the entailment-based OWL reasoning (EBOR) paradigm, which is based on the utilization of RDF/ RDFS and OWL entailment rules that run on a rule engine, applying the formal semantics of the ontology language. To this end, seven EBOR systems are described and compared, analyzing the different approaches. Despite the closed rule environment, which comes in contrast with the open nature of the Semantic Web, and the fact that OWL semantics are partially mapped into rules, the rule-based OWL reasoning paradigm can give great potentials in the Semantic Web, enabling the utilization of rule engines on top of ontology information.

Keywords:
Semantic Web Rule Language OWL-S Computer science Web Ontology Language RDF Schema Semantic Web Ontology language Ontology Ontology Inference Layer Description logic RDF Upper ontology Information retrieval Semantic Web Stack Natural language processing Artificial intelligence SPARQL Semantic analytics

Metrics

10
Cited By
0.57
FWCI (Field Weighted Citation Impact)
13
Refs
0.70
Citation Normalized Percentile
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Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence

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