OntoEval: an Automated Ontology Evaluation System

Antonio Zaitoun, Tomer Sagi, Katja Hose

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)

Abstract

Developing semantically-aware web services requires comprehensive and accurate ontologies. Evaluating an existing ontology or adapting it is a labor-intensive and complex task for which no automated tools exist. Nevertheless, in this paper we propose a tool that aims at making this vision come true, i.e., we present a tool for the automated evaluation of ontologies that allows one to rapidly assess an ontology’s coverage of a domain and identify specific problems in the ontology’s structure. The tool evaluates the domain coverage and correctness of parent-child relations of a given ontology based on domain information derived from a text corpus representing the domain. The tool provides both overall statistics and detailed analysis of sub-graphs of the ontology. In the demo, we show how these features can be used for the iterative improvement of an ontology.
OriginalsprogEngelsk
TitelACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato30 apr. 2023
Sider82–85
ISBN (Elektronisk)978-1-4503-9419-2
DOI
StatusUdgivet - 30 apr. 2023
BegivenhedThe ACM Web Conference 2023 - Austin, USA
Varighed: 30 apr. 20234 maj 2023

Konference

KonferenceThe ACM Web Conference 2023
Land/OmrådeUSA
ByAustin
Periode30/04/202304/05/2023

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