Ontology Summarization: Graph-Based Methods and Beyond

Atzori M.;
2019-01-01

Abstract

Ontologies have been widely used in numerous and varied applications, e.g. to support data modeling, information integration, and knowledge management. With the increasing size of ontologies, ontology understanding, which is playing an important role in different tasks, is becoming more difficult. Consequently, ontology summarization, as a way to distill key information from an ontology and generate an abridged version to facilitate a better understanding, is getting growing attention. In this survey paper we review existing ontology summarization techniques and focus mainly on graph-based methods, which represent an ontology as a graph and apply centrality-based and other measures to identify the most important elements of an ontology as its summary. After analyzing their strengths and weaknesses, we highlight a few potential directions for future research.
2019
Inglese
13
2
259
283
25
www.worldscientific.com/worldscinet/ijsc
https://www.worldscientific.com/doi/abs/10.1142/S1793351X19300012
Esperti anonimi
internazionale
scientifica
graph model; ontology; Ontology summarization; Semantic Web
Pouriyeh, S.; Allahyari, M.; Liu, Q.; Cheng, G.; Arabnia, H. R.; Atzori, M.; Mohammadi, F. G.; Kochut, K.
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
8
reserved
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