Improving Interoperability Using Query Interpretation in Semantic Vector Spaces

International audienceIn semantic web applications where query initiators and information providers do not necessarily share the same ontology, semantic interoperability generally relies on ontology matching or schema mappings. Information exchange is then not only enabled by the established correspondences (the ``shared'' parts of the ontologies) but, in some sense, limited to them. Then, how the ``unshared'' parts can also contribute to and improve information exchange ? In this paper, we address this question by considering a system where documents and queries are represented by semantic vectors. We propose a specific query expansion step at the query initiator's side and a query interpretation step at the document provider's. Through these steps, unshared concepts contribute to evaluate the relevance of documents wrt. a given query. Our experiments show an important improvement of retrieval relevance when concepts of documents and queries are not shared. Even if the concepts of the initial query are not shared by the document provider, our method still ensures 90% of the precision and recall obtained when the concepts are shared

Mysins : Make Your Semantic INformation System

Article court accompagnant une démonstration logicielle. I.S.B.N. : 9782854289220International audienceLa sémantique est de plus en plus utilisée dans différents domaines comme la recherche d'information (RI) et le Web sémantique. Dans le domaine de la RI, différents participants interviennent : des fournisseurs d'informations et des utilisateurs. L'utilisation de la sémantique nécessite la mise en œuvre de mécanismes précis. En RI, il s'agit entre autre de l'utilisation d'ontologies, du calcul de similarité et de l'indexation. L'étude de chacun de ces axes nécessite un effort important de synthèse et d'intégration. Pour palier le manque évident d'une architecture générique distribuée pour la conception de systèmes d'information sémantiques, nous proposons un framework : Mysins

Personalization through query explanation and document adaptation

International audienceWe present a new formal approach to retrieval personaliza- tion which emcompasses a query personalization process at the user's side with a light document adaptation at the in- formation server's side. Our solution relies on the use of a domain ontology: queries and documents are in fact indexed by sets of concepts. For each concept of the query, the query personalization process allows to express the importance of linked concepts, which may vary according to the search con- text. Each query concept can be ”clarified” by this process; although the proposed method clarifies only central query concepts. The initial query as well as its defined clarifica- tions are sent to the server. Then, the server reconsiders its document representations based on both the query and the concepts clarifications it received. The proposed solution does not require that the information server maintains any user profile, and can be useful when, for privacy concerns, it is committed not to profiling the users