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Finding hidden relevant documents buried in scientific documents by terminological paraphrases

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Abstract

Technical terms play an important role of effective queries for many users to search scientific databases. However, authors of scientific literature often employ alternative expressions to represent the meanings of specific terms, in other words, Terminological Paraphrases (TPs) in the literature for certain reasons, which leads to producing relevant documents that are not captured by conventional terms above. In this paper, we propose an effective way to retrieve “de facto relevant documents” which only contain those TPs and cannot be searched by conventional models in an environment with only controlled vocabularies by adapting Predicate Argument Tuple (PAT). The experiment confirms that PAT-based document retrieval is an effective and promising method to discover those kinds of documents and to improve the recall of terminology-based scientific information access models.

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Notes

  1. Google Scholar(http://scholar.google.com/), PubMed(http://www.ncbi.nlm.nih.gov/pubmed), Microsoft Academic Search (http://academic.research.microsoft.com/)

  2. The controlled vocabulary of PubMed (http://www.ncbi.nlm.nih.gov/pubmed) is MeSH (Medical Sub-ject Headings). ACM (http://portal.acm.org) maintains CCS (Computing Classification System), and LC (http://catalog.loc.gov/) controls access to their content by LCSH (Library of Congress Subject Headings).

  3. http://www-tsujii.is.s.u-tokyo.ac.jp/enju/

  4. http://www.ndsl.kr/index.do

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Authors and Affiliations

  1. Korea Institution of Science and Technology Information (KISTI), 335 Gwahangno, Yuseong-gu, Daejeon, South Korea, 305-806

    Sung-Pil Choi, Sung-Ho Shin & Hanmin Jung

  2. School of Applied Science, Department of Computer Engineering, Catholic University of Pusan, #9, Bugok 3-dong, Geumjeong-gu, Pusan, South Korea, 609-757

    Sung-Pil Choi, Sung-Ho Shin & Daesung Lee

Authors
  1. Sung-Pil Choi
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  2. Sung-Ho Shin
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  3. Hanmin Jung
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  4. Daesung Lee
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Corresponding author

Correspondence to Daesung Lee.

Additional information

This paper is the substantially extended version of the paper accepted and presented for SoftTech 2012 [4]. The extensions include additional experiments, analysis and details about proposed approaches.

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Choi, SP., Shin, SH., Jung, H. et al. Finding hidden relevant documents buried in scientific documents by terminological paraphrases. Multimed Tools Appl 74, 8729–8743 (2015). https://doi.org/10.1007/s11042-013-1484-y

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  • DOI: https://doi.org/10.1007/s11042-013-1484-y

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