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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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: A multi-strategy methodology for ontology integration and reuse. Integrating large and heterogeneous knowledge bases in the rise of Big Data
Autori:
AutoreEmail
Caldarola, Enricoenricogiacinto.caldarola@unina.it
Data: 10 Aprile 2017
Numero di pagine: 138
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Dottorato: Information technology and electrical engineering
Ciclo di dottorato: 29
Coordinatore del Corso di dottorato:
nomeemail
Riccio, Danieledaniele.riccio@unina.it
Tutor:
nomeemail
Picariello, Antonio[non definito]
Rinaldi, Antonio M.[non definito]
Data: 10 Aprile 2017
Numero di pagine: 138
Parole chiave: 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
Depositato il: 09 Mag 2017 15:31
Ultima modifica: 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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