The Open UniversitySkip to content

A community based approach for managing ontology alignments

Correndo, Gianluca; Alani, Harith and Smart, Paul R (2008). A community based approach for managing ontology alignments. In: 7th International Semantic Web Conference (ISWC-2008): 3rd International Workshop on Ontology Matching, 26-30 October 2008, Karlsruhe, Germany.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (209Kb)
Google Scholar: Look up in Google Scholar


The Semantic Web is rapidly becoming a defacto distributed repository for semantically represented data, thus leveraging on the added on value of the network effect. Various ontology mapping techniques and tools have been devised to facilitate the bridging and integration of distributed data repositories. Nevertheless, ontology mapping can benefitfrom human supervision to increase accuracy of results. The spread of Web 2.0 approaches demonstrate the possibility of using collaborative techniques for reaching consensus. While a number of prototypes for collaborative ontology construction are being developed, collaborative ontology mapping is not yet well investigated. In this paper, we describe a prototype that combines off-the-shelf ontology mapping tools with social software techniques to enable users to collaborate on mapping ontologies.

Item Type: Conference Item
Copyright Holders: 2008 The Authors
Keywords: collaboration; ontology mapping
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Item ID: 20012
Depositing User: Harith Alani
Date Deposited: 15 Apr 2010 13:33
Last Modified: 05 Oct 2016 12:46
Share this page:

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