Indexing a Web Site with a Terminology Oriented Ontology

This article presents a new approach in order to index a Web site. It uses ontologies and natural language techniques for information retrieval on the Internet. The main goal is to build a structured index of the Web site. This structure is given by a terminology oriented ontology of a domain which is chosen a priori according to the content of the Web site. First, the indexing process uses improved natural language techniques to extract well-formed terms taking into account HTML markers. Second, the use of a thesaurus allows us to associate candidate concepts with each term. It makes it possible to reason at a conceptual level. Next, for each candidate concept, its capacity to represent the page is evaluated by determining its level of representativeness of the page. Then, the structured index itself is built. To each concept of the ontology are attached the pages of the Web site in which they are found. Finally, a number of indicators make it possible to evaluate the indexing process of the Web site by the suggested ontology

Research on Ontology-Driven Information Retrieval

Abstract. An increasing number of recent information retrieval systems make use of ontologies to help the users clarify their information needs and come up with semantic representations of documents. A particular concern here is the integration of these semantic approaches with traditional search technology. The research presented in this paper examines how ontologies can be efficiently applied to large-scale search systems for the web. We describe how these systems can be enriched with adapted ontologies to provide both an in-depth understanding of the user's needs as well as an easy integration with standard vector-space retrieval systems. The ontology concepts are adapted to the domain terminology by computing a feature vector for each concept. Later, the feature vectors are used to enrich a provided query. The whole retrieval system is under development as part of a larger Semantic Web standardization project for the Norwegian oil & gas sector.