Abstract
Using keyword queries to find entities has emerged as one of the major search types on the Web. In this paper, we study the task of ad-hoc entity retrieval: keyword search in a collection of structured data. We start with a baseline retrieval system that constructs pseudo documents from RDF triples and introduce three extensions: preprocessing of URIs, using two-fielded retrieval models, and boosting popular domains. Using the query sets of the 2010 and 2011 Semantic Search Challenge, we show that our straightforward approach outperforms all previously reported results, some generated by far more complex systems.
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Neumayer, R., Balog, K., Nørvåg, K. (2012). When Simple is (more than) Good Enough: Effective Semantic Search with (almost) no Semantics. In: Baeza-Yates, R., et al. Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28997-2_59
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DOI: https://doi.org/10.1007/978-3-642-28997-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28996-5
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