The Open UniversitySkip to content
 

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.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (212Kb)
DOI (Digital Object Identifier) Link: http://doi.org/10.1007/978-3-642-16438-5_44
Google Scholar: Look up in Google Scholar

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.

Item Type: Conference Item
Copyright Holders: 2010 Springer-Verlag Berlin Heidelberg
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/Department: Social Sciences
Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 26182
Depositing User: Kay Dave
Date Deposited: 11 Jan 2011 12:13
Last Modified: 23 Feb 2016 19:03
URI: http://oro.open.ac.uk/id/eprint/26182
Share this page:

Altmetrics

Scopus Citations

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk