Procedure for the Contextual, Textual and Ontological Construction of Specialized Knowledge Bases
##plugins.themes.bootstrap3.article.sidebar##
PDF
Submitted Jan 7, 2021
Published Feb 2, 2021
Published Feb 2, 2021
DOI
Abstract viewed = 77 times
PDF downloaded = 30 times
Issue
Section
Articles
##plugins.themes.bootstrap3.article.main##
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
References
Espinasse, B. and Fournier, S. and Freitas, F. (2007) “AGATHE : une architecture générique à base d'agents et d'ontologies pour la collecte d'information sur domaines restreints du Web”, CORIA 2007, Conference Paper, pp 367-383
Philipp, Cimiano & Johanna, Völker, (2005) “Text2Onto - a framework for ontology learning and data-driven change discovery”, Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB), Vol. 3513, pp 227-238.
Alexander, Maedche & Steffen, Staab (2000), “Discovering conceptual relations from text”, Dans ECAI 2000, Proceedings of the 14th European Conference on Artificial Intelligence, IOS Press, Amsterdam, pp 16-17.
Brigitte, Biebow & Sylvie, Szulman (1999), “TERMINAE: A linguistics-based tool for the building of a domain ontology”, Knowledge Acquisition, Modeling and Management, N° 1621, pp 49-66.
Assia, Amarir, El-Habib & El-Houssine, (2014) “Les méthodes de construction d'ontologie à partir de texte”, La deuxième journée sur les Technologies d'Information et de Modélisation TIM'14. Faculte des sciences Ben M’sik; Université Hassan II.
Zubeida, Casmod & Maria, Keet, (2015) “An empirically-based framework for ontology modularization”, Applied Ontology, vol. 10, no. 3-4, pp. 171-195.
D'Aquin, M. & Schlicht, A. & Stuckenschmidt, H. & Sabou, M. (2009) “Criteria and evaluation for ontology modularization techniques. In Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization”, Part of the Lecture Notes in Computer Science book series (LNCS, volume 5445), pp 67–89.
Mouhamadou, S. & Moussa, L. & Cheikh, T. & Fatou, K. (2011) “ Etat de l'art sur ontologies et extraction de connaissances”, Conference: Colloque National sur la recherche en Informatique et ses applications, At Senegal.
Abirami, A. and Askarunisa, (2013) “A semantic based approach for knowledge discovery and acquisition from multiple web pages using ontologies”, International Journal of Web & Semantic Technology (IJWesT) Vol.4, No.3.
Gabin, Personeni, (2018) “Apport des ontologies de domaine pour l'extraction de connaissances à partir de données biomédicales”, Thèse, Université de Lorraine.
Ait, Radi and Iggui, Taous, (2013) “ Extraction d'information à base d'ontologie pour la construction d'un profil utilisateur.”, Université A. Mira Béjaïa, Mémoire de Master.
Didier, Bourigault, (2002) “Upery : un outil d'analyse distributionnelle étendue pour la construction d'ontologies à partir de corpus”, Actes des 9emes journées sur le Traitement Automatique des Langues Naturelles, pp 75-84.
Blaz, Fortuna, Marko, Grobelnik & Dunja, Mladenic (2006) “Semi-automatic data driven ontology construction system”, Proceedings of the 9th International multi-conference Information Society IS-2006, Ljubljana, Slovenia, pp 3-4.
Paola, VELARDI, Roberto, NAVIGLI, Andrea, CUCCHIARELLI and NERI, F., (2005) “Evaluation of ontolearn, a methodology for automatic learning of domain ontologies”, Ontology Learning from Text: Methods, Evaluation and Applications. IOS Press, Amsterdam.
Maria, Keet (2020) “An Introduction to Ontology Engineering”, EBook, Available on https://people.cs.uct.ac.za/~mkeet/files/OEbook.pdf.
Downloads
Download data is not yet available.
##plugins.themes.bootstrap3.article.details##
How to Cite
[1]
Djontu Tajouo, F.A., Noulamo, T. and Lienou, J.-P. 2021. Procedure for the Contextual, Textual and Ontological Construction of Specialized Knowledge Bases. European Journal of Electrical Engineering and Computer Science. 5, 1 (Feb. 2021), 62-67. DOI:https://doi.org/10.24018/ejece.2021.5.1.282.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.
Submission of the manuscript represents that the manuscript has not been published previously and is not considered for publication elsewhere.
