Literature search framework by analyzing key aspects

Zhuyue Si, Gaokun Dai, Zhendong Niu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Quickly moving to an unfamiliar field for researchers is painful due to a mass of scientific articles to study without knowing their research contents. Research point and its implementation method are two helpful aspects. However these two aspects are difficult to be achieved without appropriate semantic tools. This paper proposes a literature search framework which supports a new perspective retrieval of research point and implementation method of articles. This framework contains four components: extracting the above two aspects from articles, analyzing them by semantic similarity, ontology population and index building. The experimental results verify the effectiveness of this framework. And we apply this framework to the field of computer science, demonstrate the prototype system.

Original languageEnglish
Title of host publication18th International Conference on Advanced Communications Technology
Subtitle of host publication"Information and Communications for Safe and Secure Life!", ICACT 2016 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages581-585
Number of pages5
ISBN (Electronic)9788996865063
DOIs
Publication statusPublished - 1 Mar 2016
Event18th International Conference on Advanced Communications Technology, ICACT 2016 - Pyeongchang, Korea, Republic of
Duration: 31 Jan 20163 Feb 2016

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume2016-March
ISSN (Print)1738-9445

Conference

Conference18th International Conference on Advanced Communications Technology, ICACT 2016
Country/TerritoryKorea, Republic of
CityPyeongchang
Period31/01/163/02/16

Keywords

  • framework
  • information extraction
  • literature search
  • semantic similarity

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