Evaluations of User-Driven Ontology Summarization

Li, Ning and Motta, Enrico (2010). Evaluations of User-Driven Ontology Summarization. In: Knowledge Engineering and Management by the Masses, pp. 544–553.

DOI: https://doi.org/10.1007/978-3-642-16438-5_44

Abstract

Ontology Summarization has been found useful to facilitate ontology engineering tasks in a number of different ways. Recently, it has been recognised as a means to facilitate ontology understanding and then support tasks like ontology reuse in ontology construction. Among the works in literature, not only distinctive methods are used to summarize ontology, also different measures are deployed to evaluate the summarization results. Without a set of common evaluation measures in place, it is not possible to compare the performance and therefore judge the effectiveness of those summarization methods. In this paper, we investigate the applicability of the evaluation measures from ontology evaluation and summary evaluation domain for ontology summary evaluation. Based on those measures, we evaluate the performances of the existing user-driven ontology summarization approaches.

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About

• Item ORO ID
• 26182
• Item Type
• Conference or Workshop Item
• ISSN
• 1611-3349
• Extra Information
• Published in Lecture Notes in Computer Science, 2010, Volume 6317/2010, 544-553. The original publication is available at www.springerlink.com. ISBN: 978-3-642-16437-8
• Keywords
• ontology summarization; evaluation; Semantic Web
• Academic Unit or School
• Faculty of Arts and Social Sciences (FASS)
  Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2010 Springer-Verlag Berlin Heidelberg
• Depositing User
• Kay Dave