2006•Unpublished venueOpen access

OWL-BASED KNOWLEDGE DISCOVERY USING DESCRIPTION LOGICS REASONERS

Dimitrios A. Koutsomitropoulos, Dimitrios P. Meidanis, Anastasia N. Kandili, Theodore S. Papatheodorou

Open full text 2 citations

Abstract

Abstract: The recent advent of the Semantic Web has given rise to the need for efficient and sound methods that would provide reasoning support over the knowledge scattered on the Internet. Description Logics and DLbased inference engines in particular play a significant role towards this goal, as they seem to have overlapping expressivity with the Semantic Web de facto language, OWL. In this paper we argue that DLs currently constitute one of the most tempting available formalisms to support reasoning with OWL. Further, we present and survey a number of DL based systems that could be used for this task. Around one of them (Racer) we build our Knowledge Discovery Interface, a web application that can be used to pose intelligent queries to Semantic Web documents in an intuitive manner. As a proof of concept, we then apply the KDI on the CIDOC-CRM reference ontology and discuss our results. 1

About this research paper

What this paper is about

Abstract: The recent advent of the Semantic Web has given rise to the need for efficient and sound methods that would provide reasoning support over the knowledge scattered on the Internet. Description Logics and DLbased inference engines in particular play a significant role towards this goal, as they seem to have overlapping expressivity with the Semantic Web de facto language, OWL. In this paper we argue that DLs currently constitute one of the most tempting available formalisms to support reasoning with OWL. Further, we present and survey a number of DL based systems that could be used for this task. Around one of them (Racer) we build our Knowledge Discovery Interface, a web application that can be used to pose intelligent queries to Semantic Web documents in an intuitive manner. As a proof of concept, we then apply the KDI on the CIDOC-CRM reference ontology and discuss our results. 1

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract: The recent advent of the Semantic Web has given rise to the need for efficient and sound methods that would provide reasoning support over the knowledge scattered on the Internet. Description Logics and DLbased inference engines in particular play a significant role towards this goal, as they seem to have overlapping expressivity with the Semantic Web de facto language, OWL. In this paper we argue that DLs currently constitute one of the most tempting available formalisms to support reasoning with OWL. Further, we present and survey a number of DL based systems that could be used for this task. Around one of them (Racer) we build our Knowledge Discovery Interface, a web application that can be used to pose intelligent queries to Semantic Web documents in an intuitive manner. As a proof of concept, we then apply the KDI on the CIDOC-CRM reference ontology and discuss our results. 1

Key concepts: Computer science, Description logic, Rotation formalisms in three dimensions, Semantic Web, Web Ontology Language, OWL-S, Ontology, Ontology language

Related papers

Back to paper searchBrowse research topicsOriginal source
OWL-BASED KNOWLEDGE DISCOVERY USING DESCRIPTION LOGICS REASONERS — Research Paper | ScholarLens