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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/2332

Title: A set theoretic view of the ISA hierarchy
Authors: Cheung, Yee Chung
Chung, Paul Wai Hing
Salagean, A.M.
Keywords: Fuzzy matching
Information retrieval
Knowledge representation
Issue Date: 2006
Publisher: © Springer Verlag
Citation: CHEUNG, CHUNG and SALAGEAN, 2006. A set theoretic view of the ISA hierarchy. IN: ALI, M. and DAPOIGNY, R. (eds), Advances in Applied Artificial Intelligence, 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, Proceedings. Lecture notes in computer science, 4031. Berlin : Springer Verlag, pp. 127-136
Abstract: The ISA (is-a) hierarchies are widely used in the classification and the representation of related objects. In terms of assessing similarity between two nodes, current distance approaches suffer from its nature that only parent-child relationships among nodes are captured in the hierarchy. This paper presents an idea of treating a hierarchy as a set rather than as a tree in the traditional view. The established set theory is applied to provide the foundation where the relations between nodes can be mathematically specified and results in a more powerful and logical assessment of similarity between nodes.
Description: This is a conference paper
URI: https://dspace.lboro.ac.uk/2134/2332
ISBN: 3540354530
Appears in Collections:Conference Papers and Presentations (Computer Science)

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