Suggesting Sub-topics of An Issued Query Using Concept Structure

概要

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 key-topic 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.

引用情報

Kazuki Hagiwara, Kenji Hatano, Suggesting Sub-topics of An Issued Query Using Concept Structure, Proceedings of the 7th International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2016), pp.126-134, 2016-03-29, DOI: 10.3233/978-1-61499-637-8-126.