Presented at: 7th International Semantic Web Conference (ISWC2008)
by Philipp Sorg
This PhD proposal is about the development of new methods for information access. Two new approaches are proposed: Multi-Grained Query Answering that bridges the gap between Information Retrieval and Question Answering and Learning-Enhanced Query Answering that enables the improvement of retrieval performance based on the experience of previous queries and answers.
Keywords: information access, information retrieval, machine learning, question answering
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/doctoral_consortium/26
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