Home // COGNITIVE 2011, The Third International Conference on Advanced Cognitive Technologies and Applications // View article
Authors:
Alessandra Esposito
Marco Zappatore
Luciano Tarricone
Keywords: ontology, metric, ranking technique, integration
Abstract:
Nowadays ontologies represent a largely adopted information codification technique in many knowledge domains. Complex ontological frameworks have been developed in diverse areas, presenting the association of different levels of logic and semantic abstraction. These structures gather general contents (Domain Ontologies) and integrate them with more specific concepts (Subdomain and Application Ontologies). However, integration procedures may bring about complex issues such as semantic overlaps and knowledge base modifications. In order to minimize the occurrence of such events, an accurate selection and evaluation phase is advisable. In this paper we propose a methodology to evaluate higher-level domain ontologies in order to determine which candidate ontology would perform better if integrated with lower-level ones. The methodology is based on the computation of a set of multi-purpose ad-hoc metrics that are used as evaluation criteria in a multi-decisional ranking process. The methodology is applied to a real-life integration case study in the Electromagnetic knowledge domain. Two well-known scientific ontology frameworks are selected and evaluated in order to determine their suitability to provide a mid-level to proprietary Electromagnetic ontologies.
Pages: 110 to 115
Copyright: Copyright (c) IARIA, 2011
Publication date: September 25, 2011
Published in: conference
ISSN: 2308-4197
ISBN: 978-1-61208-155-7
Location: Rome, Italy
Dates: from September 25, 2011 to September 30, 2011