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A Framework of Faceted Search for Unstructured Documents Using Wiki Disambiguation

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Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

Abstract

According to literature review, there are two challenges in search engines: lexical ambiguity and search results filtering. Moreover, the faceted search usually applies for structured data, rarely uses for unstructured documents. To solve the aforementioned problems, we proposed an effective method to build a faceted search for unstructured documents that utilizes wiki disambiguation data to build the semantic search space; the search is to return the most relevant results with a collaborative filtering. The faceted search also can solve the lexical ambiguity problem in current search engines.

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Correspondence to Duc Binh Dang .

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Dang, D.B., Nguyen, H.S., Nguyen, T.B., Duong, T.H. (2015). A Framework of Faceted Search for Unstructured Documents Using Wiki Disambiguation. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_49

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

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