A Fuzzy Ontology-Based Platform for Flexible Querying

Amira Aloui and Amel Grissa Touzi
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Amira Aloui: ENIT, Tunis, Tunisia
Amel Grissa Touzi: Université Tunis El Manar, Tunis, Tunisia & Faculté des Sciences de Tunis, LIPAH, Ecole Nationale d'Ingénieurs de Tunis, Tunis, Tunisia

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2015, vol. 6, issue 3, 12-26

Abstract: Flexible queries have recently received increasing attention to better characterize the data retrieval. In this paper, a new flexible querying approach using ontological knowledge is proposed. This approach presents an FCA based methodology for building ontologies from scratch then interrogating them intelligently through the fusion of conceptual clustering, fuzzy logic, and FCA. The main contribution is the definition of the ontology rom classes resulting from a preliminary classification of the data and not the initial data. The data cleansing provides a simple ontology and an optimal research of relevant data taking into account the preferences cited by the user in his initial interrogation. To realize this approach, a new platform called “FO-FQ Tab plug-in” is implemented. This plug-in is integrated within the ontology editor Protégé to allow building fuzzy ontologies from large databases and querying them intelligently

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:6:y:2015:i:3:p:12-26

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International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

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