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Schema and constraints-based matching and merging of topic maps
Abstract In this paper, we propose a multi-strategiIn this paper, we propose a multi-strategic matching and merging approach to find correspondences between ontologies based on the syntactic or semantic characteristics and constraints of the Topic Maps. Our multi-strategic matching approach consists of a linguistic module and a Topic Map constraints-based module. A linguistic module computes similarities between concepts using morphological analysis, string normalization and tokenization and language-dependent heuristics. A Topic Map constraints-based module takes advantage of several Topic Maps-dependent techniques such as a topic property-based matching, a hierarchy-based matching, and an association-based matching. This is a composite matching procedure and need not generate a cross-pair of all topics from the ontologies because unmatched pairs of topics can be removed by characteristics and constraints of the Topic Maps. Merging between Topic Maps follows the matching operations. We set up the MERGE function to integrate two Topic Maps into a new Topic Map, which satisfies such merge requirements as entity preservation, property preservation, relation preservation, and conflict resolution. For our experiments, we used oriental philosophy ontologies, western philosophy ontologies, Yahoo western philosophy dictionary, and Wikipedia philosophy ontology as input ontologies. Our experiments show that the automatically generated matching results conform to the outputs generated manually by domain experts and can be of great benefit to the following merging operations.nefit to the following merging operations.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Conclusion Our experiments show that the automatically generated matching results conform to the outputs generated manually by domain experts and can be of great benefit to the following merging operations.
Data source Experiment responses  + , Websites  +
Doi 10.1016/j.ipm.2006.08.012 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Schema%2Band%2Bconstraints-based%2Bmatching%2Band%2Bmerging%2Bof%2Btopic%2Bmaps%22  +
Has author Jung-Mn Kim + , Hyopil Shin + , Hyoung-Joo Kim +
Has domain Linguistics +
Has topic Ontology building +
Issue 4  +
Pages 930-945  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Information Processing and Management +
Research design Experiment  + , Statistical analysis  +
Research questions In this paper, we propose a multi-strategic matching and merging approach to find correspondences between ontologies based on the syntactic or semantic characteristics and constraints of the Topic Maps.
Revid 10,933  +
Theories earlier approaches convert ontologies or searlier approaches convert ontologies or schemas of relational database, object oriented database, and XML, into a graph model with only nodes and edges for supporting different applications and multiple schema types (Bouquet et al., 2003 and Giunchglia and Shvaiko, 2003). Topic Maps Reference Model (Durusau, Newcomb, & Barta, 2006) defines a generic merging function based on the equivalence rules to determine if two or more topic items can be merged. The equivalence rules include topic items, topic name item, variant name, occurrence item, association items, and association role item equivalence conditions.ociation role item equivalence conditions.
Theory type Design and action  +
Title Schema and constraints-based matching and merging of topic maps
Unit of analysis User  +
Url http://dx.doi.org/10.1016/j.ipm.2006.08.012  +
Volume 43  +
Wikipedia coverage Sample data  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type Article  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:30:06  +
Categories Ontology building  + , Linguistics  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:31:15  +
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