JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Analysis of Research status based on Citation Context
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : International Journal of Contents
  • Volume 11, Issue 2,  2015, pp.63-68
  • Publisher : The Korea Contents Association
  • DOI : 10.5392/IJoC.2015.11.2.063
 Title & Authors
Analysis of Research status based on Citation Context
Kim, Byungkyu; Choi, Seon-heui; Kang, Muyeong; Kang, Ji-Hoon;
  PDF(new window)
 Abstract
A citation analysis utilizes the relations among citations and is the most popular bibliometric method. This analysis is based on 1) the evaluation by paper, journal and researcher of the research output, 2) the identification of emerging research topics, 3) the production of a map of the intellectual structure of the research domain and 4) various services for academic information. However, this approach has a limitation in that a citation is treated in a very simple manner, even though the purpose of citation can vary greatly. To address this problem, new approaches have been studied that take into account the citation context. This research separates the citations according to the citation functions and tries to conduct an analysis according to the newly classified citations. Furthermore, research on the citation summarization and visualization based on both the citation context and the citation function of the citations was also attempted. However, since there are very few studies related to citation context in South Korea, more research and development is needed in this area. This study analyzes the status of the research in terms of the citation context. For this, we utilized social network analysis methods.
 Keywords
Citation Context;Citation Function;Citation Summarization;
 Language
English
 Cited by
 References
1.
A. J. Amjad, J. Ezra, and D. Radev, "Purpose and Polarity of Citation: Towards NLP-based Bibliometrics," Proc. NAACL-HLT'13, 2013.

2.
A. Nitin, et al., "Towards multi-document summarization of scientific articles: making interesting comparisons with SciSumm," proc. ACL HLT '11, 2011, p. 8.

3.
A. Bader, et al., “Document clustering of scientific texts using citation contexts,” Information Retrieval, vol. 13, no. 2, 2010, pp. 101-131. crossref(new window)

4.
K. W. Boyack, H. Small, and R. Klavans, “Improving the accuracy of co-citation clustering using full text,” J Am Soc Inf Sci Tec., vol. 64, no. 9, Jul. 2013, pp. 1759-1767. crossref(new window)

5.
C. Chong, et al., "Design and implementation for literature search and impact-based summaries," Proc. Intelligent Systems and Knowledge Engineering (ISKE), 2010.

6.
D. Cody, et al., “Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization,” Journal of the American Society for Information Science and Technology, vol. 63, no. 12, 2012, pp. 2351-2369. crossref(new window)

7.
E. Garfield, “Can citation indexing be automated?,” Proc. Statistical Association Methods for Mechanized Documentation, vol. 269, Dec. 1965, pp. 189-192.

8.
F. Lawrence D., Y. Aphinyanaphongs, and C. F. Aliferis, “Computer models for identifying instrumental citations in the biomedical literature,” Scientometrics, vol. 1, no. 12, 2013, pp. 1-12.

9.
G. Wolfgang, A. Schubert, and H. J. Czerwon, “An itemby-item subject classification of papers published in multidisciplinary and general journals using reference analysis,” Scientometrics, vol. 44, no. 3, 1999, pp. 427-439. crossref(new window)

10.
G. N. Antonio J., et al., “Improving SCImago Journal & Country Rank (SJR) subject classification through reference analysis,” Scientometrics, vol. 89, no. 3, 2011, pp. 741-758. crossref(new window)

11.
C. Donald O. and G.M. Higgins, “How can we investigate citation behavior? A study of reasons for citing literature in communication,” Journal of the American Society for Information Science, vol. 51, no. 7, 2000, pp. 635-645. crossref(new window)

12.
H. Zhigang, C. Chen, and Z. Liu, “Where are citations located in the body of scientific articles? A study of the distributions of citation locations,” Journal of Informetrics, vol. 7, no. 4 , 2013, pp. 887-896. crossref(new window)

13.
H. Zhixing and Yuhui Qiu. “Construction and aggregation of citation semantic link network,” proc. Semantics, Knowledge and Grid, 2008 SKG'08 Fourth International Conference on IEEE, 2008.

14.
K. F. William, “Finding Communities in Typed Citation Networks,” 2008.

15.
L. Leydesdorff and I. Rafols, “A global map of science based on the ISI subject categories,” J. Am. Soc. Inf. Sci., vol. 60, no. 2, Feb. 2009, pp. 348-362. crossref(new window)

16.
A. E. Mahdi and A. Joorabchi, “A citation-based approach to automatic topical indexing of scientific literature,” Journal of Information Science, vol. 36, no. 6, Nov. 2010, pp. 798-811. crossref(new window)

17.
M. J. Moravcsik and P. Murugesan, “Some Results on the Function and Quality of Citations,” Social Studies of Science, vol. 5, no. 1, Feb. 1975, pp. 86-92. crossref(new window)

18.
H. Nanba, N. Kando, and M. Okumura, “Classification of research papers using citation links and citation types: Towards automatic review article generation,” Advances in Classification Research Online, vol. 11, no. 1, Nov. 2011, pp. 117-134. crossref(new window)

19.
A. Pritchard, “Statistical bibliography or bibliometrics,” Journal of documentation, vol. 25, 1969, pp. 348-349.

20.
V. Qazvinian and D. R. Radev, "Scientific paper summarization using citation summary networks," Proc. The 22nd International Conference on Computational Linguistics - COLING '08, 2008, pp. 689-696.

21.
D. R. Radev, P. Muthukrishnan, V. Qazvinian, and A. Abu-Jbara, “The ACL anthology network corpus,” Language Resources and Evaluation, vol. 47, no. 4, Jan. 2013, pp. 919-944. crossref(new window)

22.
R. Dragomir and A. Abu-Jbara, "Rediscovering ACL discoveries through the lens of ACL Anthology Network citing sentences," Proc. the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries, Association for Computational Linguistics, 2012, pp. 1-12.

23.
S. Sendhilkumar, E. Elakkiya, and G.S. Mahalakshmi, “Citation Semantic Based Approaches to Identify Article Quality,” Proc. ICCSEA, 2013, pp. 411-420.

24.
K. Sugiyama, T. Kumar, M.-Y. Kan, and R. C. Tripathi, “Identifying citing sentences in research papers using supervised learning,” proc. 2010 International Conference on Information Retrieval & Knowledge Management (CAMP), 2010, pp. 67-72.

25.
S. Teufel, A. Siddharthan, and D. Tidhar, "Automatic classification of citation function," Proc. the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06, 2006, pp. 103-110.

26.
T. Suppawong, P. Mitra, and C.L. Giles, "A Classification Scheme for Algorithm Citation Function in Scholarly Works," Proc the 13th ACM/IEEE-CS joint conference on Digital Libraries, 2013, pp. 367-368.

27.
W. Benjamin and U. Schafer, "A Graphical Citation Browser for the ACL Anthology," Proc. LREC, 2012, pp. 1718-1722.

28.
M. D. White and P. Wang, “A Qualitative Study of Citing Behavior: Contributions, Criteria, and Metalevel Documentation Concerns,” LIBR QUART, vol. 67, no. 2, Apr. 1997, pp. 122-154. crossref(new window)