Semantic annotation of resources based on ontologies:application to a knowledge sharing platform on meningitis

Abstract

Semantic annotation of resources with ontologies plays a decisive role for semantic search, interoperability and data integration. In this paper, we focus on semi-automated web page annotation for a meningitis knowledge sharing platform. This web page annotation refers to the introduction of categories on a page or a set of tags on a page. Thus, we present a semantic web page annotation approach based on the use of an ontology. In this proposal, ontology is used to determine the categories on the web page. Our method extracts the relevant terms called keywords in the page to annotate. Our strategy for identifying the categories focus on ontology's concepts similarity with each keyword. The tags are identified among the keywords that are not mapped to the ontology's concepts. The results of simulation indicate the approach is feasible for practical use in semantic annotation of a new web page.