research-article

Mining research abstracts for exploration of research communities

Authors:

G. S. Mahalakshmi,

S. SendhilkumarAuthors Info & Claims

COMPUTE '12: Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies

Article No.: 6, Pages 1 - 10

https://doi.org/10.1145/2459118.2459124

Published: 23 January 2012 Publication History

Abstract

Research abstracts are the 'information scents' which attract a novice researcher. To read through the entire research paper and to decide the suitability of the paper to one's research problem is a tough and abstract task. Many times, researchers do not know whether they are citing the relevant (but original?) research articles. It has been only a trial and error approach so far. To enable researchers to correctly target at the relevant and yet quality research literature, mechanisms to organise collections of research papers are essential. Though a considerable effort has been attempted earlier in this context, establishing research communities concentrated on citation based recommendations only. However, the quality and originality of research articles have not been taken into account until now. In this paper, we propose the evolution of research communities by analysing the research abstracts. We utilise Fuzzy Concept Map based approach in detecting the originality of scientific abstracts. By K-means clustering, we establish a research article hyper graph from the qualified abstracts. Later, we evolve the author clusters for every topic cluster and analyse them for redundancy. Further study on relevant bibliometrics helps us to identify a 'nucleus author' for every topic cluster.

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Cited By

Mahalakshmi GSelvi GSendhilkumar S(2017)A Bibliometric Analysis of Journal of Informetrics – A Decade Study2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)10.1109/ICRTCCM.2017.22(222-227)Online publication date: Feb-2017
https://doi.org/10.1109/ICRTCCM.2017.22
Muelder CFaris RMa KAnjum AZhao X(2016)A visual analytics approach to author name disambiguationProceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3006299.3006302(52-60)Online publication date: 6-Dec-2016
https://dl.acm.org/doi/10.1145/3006299.3006302
Mahalakshmi GSiva RSendhilkumar S(2014)Context Based Retrieval of Scientific Publications via Reader LensComputational Intelligence in Data Mining - Volume 310.1007/978-81-322-2202-6_53(583-596)Online publication date: 12-Dec-2014
https://doi.org/10.1007/978-81-322-2202-6_53
Show More Cited By

Index Terms

Mining research abstracts for exploration of research communities
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. Information systems applications
    1. Digital libraries and archives

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cover image ACM Other conferences

COMPUTE '12: Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies

January 2012

146 pages

ISBN:9781450314404

DOI:10.1145/2459118

Conference Chairs:
R. K. Shyamasundar
TIFR, India
,
Lokendra Shastri
Infosys Labs, Infosys

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 January 2012

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ACM Pune Professional Chapter

Compute '12: INTELLIGENT & SCALABLE SYSTEM TECHNOLOGIES

January 23 - 24, 2012

Pune, India

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COMPUTE '12 Paper Acceptance Rate 18 of 116 submissions, 16%;

Overall Acceptance Rate 114 of 622 submissions, 18%

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Cited By

Mahalakshmi GSelvi GSendhilkumar S(2017)A Bibliometric Analysis of Journal of Informetrics – A Decade Study2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)10.1109/ICRTCCM.2017.22(222-227)Online publication date: Feb-2017
https://doi.org/10.1109/ICRTCCM.2017.22
Muelder CFaris RMa KAnjum AZhao X(2016)A visual analytics approach to author name disambiguationProceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3006299.3006302(52-60)Online publication date: 6-Dec-2016
https://dl.acm.org/doi/10.1145/3006299.3006302
Mahalakshmi GSiva RSendhilkumar S(2014)Context Based Retrieval of Scientific Publications via Reader LensComputational Intelligence in Data Mining - Volume 310.1007/978-81-322-2202-6_53(583-596)Online publication date: 12-Dec-2014
https://doi.org/10.1007/978-81-322-2202-6_53
Sendhilkumar SMahalakshmi GSam SGopalan KThampi S(2012)Enhancement of co-authorship networks with content-similarity informationProceedings of the International Conference on Advances in Computing, Communications and Informatics10.1145/2345396.2345593(1225-1228)Online publication date: 3-Aug-2012
https://dl.acm.org/doi/10.1145/2345396.2345593

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