Knowledge-Driven Multimedia Information Extraction and Ontology Evolution

  • Castano S
  • Ferrara A
  • Montanelli S
  • et al.
ISSN: 03029743
N/ACitations
Citations of this article
37Readers
Mendeley users who have this article in their library.

Abstract

The growing need of sharing data and digital resources within and across organizations has produced a novel attention on issues related to ontology and instance matching. After an introductory classification of the main techniques and tools for ontology matching, the chapter focuses on instance matching by providing an accurate classification of the matching techniques proposed in the literature, and a comparison of the recent instance matching tools according to the results achieved in the OAEI 2009 contest. Ontology and instance matching solutions developed in the BOEMIE project for multimedia resource management and ontology evolution are finally presented. © 2011 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Castano, S., Ferrara, A., Montanelli, S., & Varese, G. (2011). Knowledge-Driven Multimedia Information Extraction and Ontology Evolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6050, pp. 167–195). Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-79955836943&partnerID=tZOtx3y1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free