OntoEval: an Automated Ontology Evaluation System

Antonio Zaitoun; Tomer Sagi; Katja Hose

doi:10.1145/3543873.3587318

OntoEval: an Automated Ontology Evaluation System

Antonio Zaitoun, Tomer Sagi, Katja Hose

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
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	https://doi.org/10.1145/3543873.3587318
State	Published - 30 Apr 2023
Externally published	Yes
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

Conference

Conference	2023 World Wide Web Conference, WWW 2023
Country/Territory	United States
City	Austin
Period	30/04/23 → 4/05/23

Bibliographical note

Funding Information:
This work was partially supported by the Data Science Research Center at the University of Haifa through the Israel PBC grant Advancing Data Science to Serve Humanity and Protect the Global Environment (grant no. 100009443), the Danish Council for Independent Research (DFF) under grant agreement no. DFF-8048-00051B, and the Poul Due Jensen Foundation

Publisher Copyright:
© 2023 Owner/Author.

Keywords

BERT
knowledge engineering
natural language processing
ontology

ASJC Scopus subject areas

Computer Networks and Communications
Software

Access to Document

10.1145/3543873.3587318

Cite this

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title = "OntoEval: an Automated Ontology Evaluation System",

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.",

keywords = "BERT, knowledge engineering, natural language processing, ontology",

author = "Antonio Zaitoun and Tomer Sagi and Katja Hose",

note = "Funding Information: This work was partially supported by the Data Science Research Center at the University of Haifa through the Israel PBC grant Advancing Data Science to Serve Humanity and Protect the Global Environment (grant no. 100009443), the Danish Council for Independent Research (DFF) under grant agreement no. DFF-8048-00051B, and the Poul Due Jensen Foundation Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 2023 World Wide Web Conference, WWW 2023 ; Conference date: 30-04-2023 Through 04-05-2023",

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doi = "10.1145/3543873.3587318",

language = "English",

series = "Companion Proceedings of the ACM Web Conference 2023",

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Zaitoun, A, Sagi, T & Hose, K 2023, OntoEval: an Automated Ontology Evaluation System. in ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Companion Proceedings of the ACM Web Conference 2023, Association for Computing Machinery, Inc, pp. 82-85, 2023 World Wide Web Conference, WWW 2023, Austin, United States, 30/04/23. https://doi.org/10.1145/3543873.3587318

OntoEval: an Automated Ontology Evaluation System. / Zaitoun, Antonio; Sagi, Tomer; Hose, Katja.
ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, 2023. p. 82-85 (Companion Proceedings of the ACM Web Conference 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Funding Information: This work was partially supported by the Data Science Research Center at the University of Haifa through the Israel PBC grant Advancing Data Science to Serve Humanity and Protect the Global Environment (grant no. 100009443), the Danish Council for Independent Research (DFF) under grant agreement no. DFF-8048-00051B, and the Poul Due Jensen Foundation Publisher Copyright: © 2023 Owner/Author.

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OntoEval: an Automated Ontology Evaluation System

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this