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A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling

A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling

Mohamed Farah, Hafedh Nefzi, Imed Riadh Farah
Copyright: © 2017 |Pages: 20
ISBN13: 9781522509370|ISBN10: 1522509372|EISBN13: 9781522509387
DOI: 10.4018/978-1-5225-0937-0.ch016
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MLA

Farah, Mohamed, et al. "A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling." Handbook of Research on Geographic Information Systems Applications and Advancements, edited by Sami Faiz and Khaoula Mahmoudi, IGI Global, 2017, pp. 407-426. https://doi.org/10.4018/978-1-5225-0937-0.ch016

APA

Farah, M., Nefzi, H., & Farah, I. R. (2017). A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling. In S. Faiz & K. Mahmoudi (Eds.), Handbook of Research on Geographic Information Systems Applications and Advancements (pp. 407-426). IGI Global. https://doi.org/10.4018/978-1-5225-0937-0.ch016

Chicago

Farah, Mohamed, Hafedh Nefzi, and Imed Riadh Farah. "A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling." In Handbook of Research on Geographic Information Systems Applications and Advancements, edited by Sami Faiz and Khaoula Mahmoudi, 407-426. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0937-0.ch016

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Abstract

Nowadays, geographic information becomes too complex and abundant, thus recent research projects have been undertaken to make it manageable and exploitable. Ontologies are considered as a valuable support for geographic information representation. Building geographic ontologies could be viewed as an enrichment process. Alignment of concepts coming from different ontologies is central to the enrichment process and deeply affects the quality of the resulting ontology. The alignment of ontologies is based on using similarity measures. In the literature, there are many models for ontology alignment that mainly differ with respect to the similarity measures they use and the way they are combined. Most of the alignment methods do not deal with the problem of correlation between similarity measures. In this chapter, we address this issue to better decide which similarity measures we should consider to better assess the true similarity between concepts. Our proposal consists of using feature selection methods, in order to select a reduced set of relevant similarity measures.

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