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Faceted navigation through keyword interaction

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Abstract

A text usually contains multiple semantic units corresponding to various reading requests from users. One semantic unit represents a topic that people are interested in reading. A meaningful combination of semantic units can represent a certain aspect of the text. This paper proposes a mechanism that can extract the semantic units from text according to the keywords representing users’ interests and can organise semantic units into facets reflecting certain aspects of a text. The mechanism can display facets of a text with a set of operations. The proposed mechanism considers human reading process. With this mechanism, readers can quickly obtain the interested content from a large text. Experiments show its effectiveness and robustness.

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Authors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Bei Xu & Hai Zhuge

  2. Institute of Computing Technology, Chinese Academy of Sciences, No 6, Science South Rd, Zhong Guan Cun, Haidian, Beijing, 100190, China

    Bei Xu & Hai Zhuge

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  1. Bei Xu
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  2. Hai Zhuge
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Correspondence to Hai Zhuge.

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Xu, B., Zhuge, H. Faceted navigation through keyword interaction. World Wide Web 17, 671–689 (2014). https://doi.org/10.1007/s11280-012-0192-2

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  • DOI: https://doi.org/10.1007/s11280-012-0192-2

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