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.
| Original language | English |
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| Title of host publication | ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023 |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 82-85 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450394161 |
| DOIs | |
| State | Published - 30 Apr 2023 |
| Event | 2023 World Wide Web Conference, WWW 2023 - Austin, United States Duration: 30 Apr 2023 → 4 May 2023 |
Publication series
| Name | Companion Proceedings of the ACM Web Conference 2023 |
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Conference
| Conference | 2023 World Wide Web Conference, WWW 2023 |
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| Country/Territory | United States |
| City | Austin |
| Period | 30/04/23 → 4/05/23 |
Bibliographical note
Publisher Copyright:© 2023 Owner/Author.
Keywords
- BERT
- knowledge engineering
- natural language processing
- ontology
ASJC Scopus subject areas
- Computer Networks and Communications
- Software