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WAIM
2009
Springer

An Approach to Detect Collaborative Conflicts for Ontology Development

11 years 11 months ago
An Approach to Detect Collaborative Conflicts for Ontology Development
Ontology has been widely adopted as the basis of knowledge sharing and knowledge-based public services. However, ontology construction is a big challenge, especially in collaborative ontology development, in which conflicts are often a problem. Traditional collaborative methods are suitable for centralized teamwork only, and are ineffective if the ontology is developed and maintained by mass broadly distributed participators lacking communications. In this kind of highly collaborative ontology development, automated conflicts detection is essential. In this paper, we propose an approach to classify and detect collaborative conflicts according to some mechanisms: 1) impact range of a revision, 2) semantic rules, and 3) heuristic similarity measures. Also we present a high effective detecting algorithm with evaluation.
Yewang Chen, Xin Peng, Wenyun Zhao
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where WAIM
Authors Yewang Chen, Xin Peng, Wenyun Zhao
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