Li, Ning and Motta, Enrico
(2010).
![]()
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (217kB) |
DOI (Digital Object Identifier) Link: | https://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 or Workshop 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/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) |
Item ID: | 26182 |
Depositing User: | Kay Dave |
Date Deposited: | 11 Jan 2011 12:13 |
Last Modified: | 08 Aug 2019 16:07 |
URI: | http://oro.open.ac.uk/id/eprint/26182 |
Share this page: | ![]() ![]() ![]() ![]() |
Metrics
Altmetrics from Altmetric | Citations from Dimensions |
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.