Abstract
Entity Ranking is a recently emerging search task in Information Retrieval. In Entity Ranking the goal is not finding documents matching the query words, but instead finding entities which match those requested in the query.
In this paper we focus on the Wikipedia corpus, interpreting it as a set of entities and propose algorithms for finding entities based on their structured representation for three different search tasks: entity ranking, list completion, and entity relation search. The main contribution is a methodology for indexing entities using a structured representation. Our approach focuses on creating an index of facts about entities for the different search tasks. More, we use the category structure information for improving the effectiveness of the List Completion task.
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Craswell, N., Demartini, G., Gaugaz, J., Iofciu, T. (2009). L3S at INEX 2008: Retrieving Entities Using Structured Information. In: Geva, S., Kamps, J., Trotman, A. (eds) Advances in Focused Retrieval. INEX 2008. Lecture Notes in Computer Science, vol 5631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03761-0_26
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DOI: https://doi.org/10.1007/978-3-642-03761-0_26
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