Caldarola, Enrico (2017) A multi-strategy methodology for ontology integration and reuse. Integrating large and heterogeneous knowledge bases in the rise of Big Data. [Tesi di dottorato]

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Item Type:	Tesi di dottorato
Lingua:	English
Title:	A multi-strategy methodology for ontology integration and reuse. Integrating large and heterogeneous knowledge bases in the rise of Big Data
Creators:	Creators Email Caldarola, Enrico enricogiacinto.caldarola@unina.it
Date:	10 April 2017
Number of Pages:	138
Institution:	Università degli Studi di Napoli Federico II
Department:	Ingegneria Elettrica e delle Tecnologie dell'Informazione
Dottorato:	Information technology and electrical engineering
Ciclo di dottorato:	29
Coordinatore del Corso di dottorato:	nome email Riccio, Daniele daniele.riccio@unina.it
Tutor:	nome email Picariello, Antonio UNSPECIFIED Rinaldi, Antonio M. UNSPECIFIED
Date:	10 April 2017
Number of Pages:	138
Uncontrolled Keywords:	Ontology Integration, Big Data, WordNet
Settori scientifico-disciplinari del MIUR:	Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Date Deposited:	09 May 2017 15:31
Last Modified:	08 Mar 2018 13:21
URI:	http://www.fedoa.unina.it/id/eprint/11714
DOI:	10.6093/UNINA/FEDOA/11714

Abstract

The new revolutionary web today, i.e., the Semantic Web, has augmented the previous one by promoting common data formats and exchange protocols in order to provide a framework that allows data to be shared and reused across application, enterprise, and community boundaries. This revolution, along with the increasing digitization of the world, has led to a high availability of knowledge models, viz., formal representations of concepts and relations between concepts underlying a certain universe of discourse or knowledge domain, which span throughout a wide range of topics, fields of study and applications, from biomedical to advanced manufacturing, mostly heterogeneous from each other at a different levels. As more and more outbreaks of this new revolution light up, a major challenge came soon into sight: addressing the main objectives of the semantic web, the sharing and reuse of data, demands effective and efficient methodologies to mediate between models characterized by such a heterogeneity. Since ontologies are the de facto standard in representing and sharing knowledge models over the web, this doctoral thesis presents a comprehensive methodology to ontology integration and reuse based on various matching techniques. The proposed approach is supported by an ad hoc software framework whose scope is easing the creation of new ontologies by promoting the reuse of existing ones and automatizing, as much as possible, the whole ontology construction procedure.

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