Abstract | ||
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In this paper, we propose a method for suggesting sub-topics of an issued queries by using the conceptual structure of WordNet. In existing search engines, sub-topics are created on the basis of the input histories of search engine users. Therefore, often-used pairs of key-and sub-topics can be issued; otherwise it is difficult for unaccustomed users to input both key-and sub-topics. We believe that the proposed method can help the users to issue appropriate search queries conveying their own information needs because sub-topics are general subsidiary information of a key-topic and are automatically suggested as the context of a keytopic irrespective of the input histories. To evaluate the proposed method, we conducted a usability test of the created search queries using a crowdsourcing site and compared the usability of the proposed method with that of the existing search engines. |
Year | DOI | Venue |
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2016 | 10.3233/978-1-61499-637-8-126 | ADVANCES IN DIGITAL TECHNOLOGIES |
Keywords | Field | DocType |
Sub-topic Suggestion,Conceptual Structure of WordNet | Information retrieval,Computer science,Theoretical computer science | Conference |
Volume | ISSN | Citations |
282 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
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Kazuki Hagiwara | 1 | 0 | 0.34 |
Kenji Hatano | 2 | 30 | 10.41 |