Extending Semantic Search with a Hybrid Approach

A poster presentation written by Sam Chapman, Vitaveska Lanfranchi, Fabio Ciravegna and Ravish Bhagdev. It was presented at the ESWC2007. It is about Query, Semantic Search, X-Search, Information Retrieval and Hybrid Search

[edit] Abstract

Semantic search has been highlighted as a methodology to solve issues typically associated with keyword-based Information Retrieval (conceptual and relational ambiguity), as knowledge is structured according to an ontology.

While a semantic search is more focused and returns exact results, it is also constrained to the concepts modeled by the metadata, thus limiting the expressiveness and flexibility of search.

In our approach a hybrid methodology has been devised to extend the semantic search paradigm by combining it with keyword-based retrieval to enhance the query expressiveness. This overcomes the limitations of both standalone methodologies, providing a consistent and flexible search interface over semantic and indexed data. To demonstrate the usefulness of such an approach, a hybrid search system (X-Search) has been developed and implemented for two practical use cases (aeronautic industry and humanities). A system evaluation proves how the hybrid approach can help in formulating queries not modelled by the ontology.

This data has been imported from the ESWC2007 RDF