A Matching Framework for Multimedia Data Integration Using Semantics and Ontologies
Antonio M. Rinaldi, Cristiano Russo · 2018
The increasing of data volume together with heterogeneity of representations are basic challenges in several application and research contexts. This issue is stressed in the Semantic Web domain where huge of information have to be accessed by users and services in a common and simple way. In order to present different data in an integrated fashion we need of efficient and effective techniques to preserve information about them. In this paper we present a complete approach to integrate very large multimedia knowledge bases using well known formalisms for knowledge representation as ontologies. The proposed approach is supported by a software framework able to create a global ontology by the integration of existing ones automatizing the whole ontology building process. We present a case study on cultural heritage domain to show a real implementation of our approach.