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Coincidence based mapping extraction with genetic algorithms

Qazvinian, V ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. Publisher: 2007
  3. Abstract:
  4. Ontology Aligning is an answer to the problem of handling heterogenous information on different domains. After application of some measures, one reaches a set of similarity values. The final goal is to extract mappings. Our contribution is to introduce a new genetic algorithm (GA) based extraction method. The GA, employs a structured based weighting model, named "coincidence based model", as its fitness function. In the first part of the paper, some preliminaries and notations are given and then we introduce the coincidence based weighting. In the second part the paper discusses the details of the devised GA with the evaluation results for a sample dataset
  5. Keywords:
  6. Coincidence based matching ; Different domains ; Evaluation results ; Extraction method ; Fitness functions ; Ontology matching ; Sample dataset ; Weighting model ; Alignment ; Function evaluation ; Genetic algorithms ; Information systems ; World wide web ; Ontology
  7. Source: 3rd International Conference on Web Information Systems and Technologies, Webist 2007, Barcelona, 3 March 2007 through 6 March 2007 ; Volume WIA , 2007 , Pages 176-183
  8. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.7940