PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Ontology Population and Enrichment: State of the Art
George Petasis, Vangelis Karkaletsis, Georgios Paliouras, Anastasia Krithara and Ilias Zavitsanos
In: Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic Gap Lecture Notes in Computer Science , 6050/2011 (6050). (2011) Springer-Verlag , Berlin Heidelberg , pp. 134-166. ISBN 978-3-642-20794-5

Abstract

Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes even more complex in the context of the BOEMIE project, due to the management of multimedia resources and the multi-modal semantic interpretation that they require. The purpose of this chapter is to present a survey of the most relevant methods, techniques and tools used for the task of ontology learning. Adopting a practical perspective, an overview of the main activities involved in ontology learning is presented. This breakdown of the learning process is used as a basis for the comparative analysis of existing tools and approaches. The comparison is done along dimensions that emphasize the particular interests of the BOEMIE project. In this context, ontology learning in BOEMIE is treated and compared to the state of the art, explaining how BOEMIE addresses problems observed in existing systems and contributes to issues that are not frequently considered by existing approaches.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:9426
Deposited By:Georgios Petasis
Deposited On:16 March 2012