Semantic Descriptions in an Enterprise Search Solution

Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy this community. Different content sources require different analyzing and indexing strategies and a content-specific result set presentation. There is a lot of research in the field of using semantic web technologies for information retrieval. A wide range of useful standard vocabularies and powerful frameworks have been developed that can be used to gather, transform and store metadata. However, in practise we see a gap between the state of art of information retrieval and customer needs with a defined priseperformance relation. It is a challenge to index a large file server with heterogeneous content annotated with metadata from different vocabularies, to provide an ontology-based navigation, to produce semantic annotated search results, to use faceted browsers as powerful filtering mechanism and do that wit...

• Type: Conference
• Year: 2007
• Where: RWEB
• Authors: Uwe Crenze, Stefan Köhler, Kristian Hermsdorf, Gunnar Brand, Sebastian Kluge
• Keywords: Enterprise Search, Information Retrieval, RWEB 2007, Semantic