Research Article

Procedure for the Contextual, Textual and Ontological Construction of Specialized Knowledge Bases

François Achille Djontu Tajouo
University of Dschang, Cameroon
Thierry Noulamo
University of Dschang, Cameroon
Jean-Pierre Lienou
The University of Bamenda, Cameroon
* Corresponding author
DOI icon 10.24018/ejece.2021.5.1.282

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Submitted 2021-01-07
Published 2021-02-02

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Article Main Content

Information Retrieval (IR) from data sources such as the web, databases, sensors, etc., and structuring it through ontologies is an ambitious research field that leads to the reduction of information search time, improvement of the quality of found information and the efficient decision making. In this work, we have proposed a system for extracting information from several data sources to enrich an ontology in the field of plant pathology. The objective of this work is to develop a knowledge base in the field of plant pathology, by structuring the data present in various data sources accessible mainly through the web. To do this, we first propose a modular development approach of a domain ontology. The construction of the ontology at first uses the text-based construction technique and then, we use the generic architecture of a web data extraction system technique from literature to propose a data extraction system for the enrichment of the different ontology modules of the domain. For each subsystem of our extraction system, we have developed the algorithms to be implemented.

Keywords: Information Retrieval, Knowledge Base, Merge ontologies, Modularization, Ontology Module, Ontology

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