Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Probabilistic question answering on the Web: Research Articles
Journal of the American Society for Information Science and Technology
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
Unifying Reasoning and Search to Web Scale
IEEE Internet Computing
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Watson, more than a Semantic Web search engine
Semantic Web
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
Random indexing for finding similar nodes within large RDF graphs
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
Fourth workshop on exploiting semantic annotations in information retrieval (ESAIR)
Proceedings of the 20th ACM international conference on Information and knowledge management
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While Information Retrieval approaches typically rely on a bag-of-word approach and are therefore fairly shallow, Knowledge Management is based on a deep semantic representation. Both allow users to sift through huge volumes of information and to identify the relevant document or answer for a particular information need. Obviously, these areas go beyond this simple information access scenario. Nevertheless, it is also a fact that these areas form fairly separate communities. We propose an idea of how to make use of techniques coming from both ends of the spectrum and combine them in methods that are more powerful than each of them individually. Our idea is based on turning structured information into virtual documents built to preserve the concepts and relations inherent in the semantically rich data before we apply Information Retrieval methods.