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Learning Semantic Query Suggestions

An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive queries that are able to return more useful search results than the original query and most popular search engines provide facilities that let users complete,…
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A Semantic Perspective on Query Log Analysis

We present our views on the CLEF log file analysis task. We argue for a task definition that focuses on the semantic enrichment of query logs. In addition, we discuss how additional information about the context in which queries are being made could further our understanding of users’ information seeking…
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Concept models for domain-specific search

We describe our participation in the 2008 CLEF Domain-specific track. We evaluate blind relevance feedback models and concept models on the CLEF domain-specific test collection. Applying relevance modeling techniques is found to have a positive effect on the 2008 topic set, in terms of mean average precision and precision@10. Applying…
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Towards a combined model for search and navigation of annotated documents

Documents whose textual content is complemented with annotations of one kind or another are ubiquitous. Examples include biomedical documents (annotated with MeSH terms) and news articles (annotated with IPTC terms). Such annotations—or concepts—have typically been used for query expansion, to suggest alternative or related query formulations, and to facilitate browsing…