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Knowledge discovery from Thai research articles by Solr-Based faceted search

Chantamunee, S., Fung, C.C., Wong, K.W. and Dumkeaw, C. (2018) Knowledge discovery from Thai research articles by Solr-Based faceted search. In: Unger, H. and Sodsee, S., (eds.) Recent Advances in Information and Communication Technology 2018. Springer, pp. 337-346.

Link to Published Version: https://doi.org/10.1007/978-3-319-93692-5_33
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Abstract

Search engine plays an important role in information retrieval as being the preferred tool by users to locate and manage their desired information. The volume of online data has dramatically increased and this phenomenon of impressive growth leads to the need of efficient systems to deal with issues associated with storage and retrieval. Keyword search is the most popular search paradigm which prompts user to search the entire repository based on a few keywords. From research article collection, using keyword search only may not be enough for researchers to explore academic documents related to their interests from the entire repository. Knowledge discovery tool has recently received much attention in order to compensate the weakness of keyword search usage for academic collection. This paper presents the practical system design and implementation of a knowledge discovery tool in terms of faceted search. This study focused on Thai research articles for use by Thai scholars. The proposed faceted search system was constructed based on the Apache Solr search platform. The methodology of data preparation, knowledge extraction and implementation are discussed in the paper.

Publication Type: Book Chapter
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: Springer
Copyright: © 2019 Springer International Publishing AG, part of Springer Nature
URI: http://researchrepository.murdoch.edu.au/id/eprint/41423
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