Assisting retrieval of academic papers for user’s information needs

Kosuke Furusawa, Hongjun Fan, Yoichi Tomiura, Emi Ishita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Search by terms is often used when researchers search academic papers. However, it is difficult to collect almost all papers that satisfy information needs using search terms alone. In this paper, we propose a support method to find papers that satisfy user’s information needs with search by terms. This is achieved by searching abstracts that have been obtained with general search terms, and further analyzing them using a researcher’s own provided abstract to identify the user’s information needs.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationProviding Quality Information - 17th International Conference on Asia-Pacific Digital Libraries, ICADL 2015, Proceedings
EditorsRobert B. Allen, Jane Hunter, Marcia L. Zeng
PublisherSpringer Verlag
Pages300-301
Number of pages2
ISBN (Print)9783319279732
Publication statusPublished - 2015
Event17th International Conference on Digital Libraries: Providing Quality Information, ICADL 2015 - Seoul, Korea, Republic of
Duration: Dec 9 2015Dec 12 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9469
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Digital Libraries: Providing Quality Information, ICADL 2015
CountryKorea, Republic of
CitySeoul
Period12/9/1512/12/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Assisting retrieval of academic papers for user’s information needs'. Together they form a unique fingerprint.

Cite this