This article describes an unsupervised approach for automatic classification of scientific literature archived in digital libraries and repositories according to a standard library classification scheme. The method is based on identifying all the references cited in the document to be classified and, using the subject classification metadata of extracted references as catalogued in existing conventional libraries, inferring the most probable class for the document itself with the help of a weighting mechanism. We have demonstrated the application of the proposed method and assessed its performance by developing a prototype software system for automatic classification of scientific documents according to the Dewey Decimal Classification scheme. A dataset of 1000 research articles, papers, and reports from a well-known scientific digital library, CiteSeer, were used to evaluate the classification performance of the system. Detailed results of this experiment are presented and discussed.
AvanciniHRauberASebastianiF. Organizing digital libraries by automated text categorization. In: Proceedings of the 8th European Conference on Digital Libraries (ECDL 2004), Bath, 2004, pp. 919–931.
2.
HunterLCohenKB. Biomedical language processing: what’s beyond PubMed?Molecular Cell2006; 21(5): 589–594.
3.
SebastianiF. Machine learning in automated text categorization. ACM Computing Surveys (CSUR)2002; 34(1): 1–47.
4.
GolubK. Automated subject classification of textual web pages, based on a controlled vocabulary: challenges and recommendations. New Review of Hypermedia and Multimedia2006; 12(1): 11–27.
5.
YiK. Automated text classification using library classification schemes: trends, issues, and challenges. International Cataloguing and Bibliographic Control (ICBC)2007; 36(4): 78–82.
6.
MarkeyK. Forty years of classification online: final chapter or future unlimited?Cataloging & Classification Quarterly2006; 42(3): 1–63.
7.
DeweyM. Dewey Decimal Classification (DDC). Dublin, OH: Online Computer Library Center, 1876–2010, http://www.oclc.org/us/en/dewey (accessed February 2011).
8.
PutnamH. Library of Congress Classification (LCC). Washington, DC: Library of Congress, Cataloging Policy and Support Office, USA, 1897–2010, http://www.loc.gov/catdir/cpso/lcc.html (accessed February 2011).
OCLC (Online Computer Library Center), http://www.oclc.org/ (accessed February 2011).
11.
LarsonRR. Experiments in automatic Library of Congress Classification. Journal of the American Society for Information Science1992; 43(2): 130–148.
12.
JenkinsCJacksonMBurdenPWallisJ. Automatic classification of web resources using Java and Dewey Decimal Classification. Computer Networks and ISDN Systems1998; 30(1–7): 646–648.
13.
ChungY-MNohY-H. Developing a specialized directory system by automatically classifying web documents. Journal of Information Science2003; 29(2): 117–126.
14.
PongJY-HKwokRC-WLauRY-KHaoJ-XWongPC-C. A comparative study of two automatic document classification methods in a library setting. Journal of Information Science2008; 34(2): 213–230.
15.
FrankEPaynterGW. Predicting Library of Congress classifications from Library of Congress subject headings. Journal of the American Society for Information Science and Technology2004; 55(3): 214–227.
16.
WangJ. An extensive study on automated Dewey Decimal Classification. Journal of the American Society for Information Science and Technology2009; 60(11): 2269–2286.
17.
GolubKArdöAMladenićDGrobelnikM. Comparing and combining two approaches to automated subject classification of text. In: Research and advanced technology for digital libraries. Springer: Berlin, 2006, pp. 467–470.
18.
SenPNamataGBilgicMGetoorLGalligherBEliassi-RadT. Collective classification in network data. AI Magazine2008; 29:3.
19.
JoorabchiAMahdiAE. Leveraging the legacy of conventional libraries for organizing digital libraries. In: Research and advanced technology for digital libraries. Springer: Berlin, 2009, pp. 3–14.
20.
MahdiAEJoorabchiA. A citation-based approach to automatic topical indexing of scientific literature. Journal of Information Science2010; 36(6): 798–811.
21.
GarfieldE. Citation indexes for science: a new dimension in documentation through association of ideas. Science1955; 122(3159): 108–111.
22.
AljaberBStokesNBaileyJPeiJ. Document clustering of scientific texts using citation contexts. Information Retrieval2009; 13(2): 101–131.
23.
CaoMDGaoX. Combining contents and citations for scientific document classification. In: ZhangSJarvisR (eds). AI 2005: advances in artificial intelligence. Berlin: Springer, 2005, pp. 143–152.
24.
BradshawS. Reference directed indexing: redeeming relevance for subject search in citation indexes. In: KitWSølvbergIT (eds). Research and advanced technology for digital libraries. Berlin: Springer, 2003, pp. 499–510.
25.
BradshawSHammondK. Automatically indexing documents: content vs. reference. In: 7th international conference on intelligent user interfaces. San Francisco, CA: ACM, 2002.
26.
RitchieARobertsonSTeufelS. Comparing citation contexts for information retrieval. In: 17th ACM conference on information and knowledge management. Napa Valley, CA: ACM, 2008.
27.
RitchieATeufelSRobertsonS. How to find better index terms through citations. In: Workshop on how can computational linguistics improve information retrieval?Sydney:Association for Computational Linguistics, 2006.
28.
RitchieATeufelSRobertsonS. Using terms from citations for IR: some first results. In: MacdonaldCOunisIPlachourasVRuthvenIWhiteRW (eds) Advances in information retrieval. Berlin: Springer, 2008, pp. 211–221.
29.
SlavicA. Interface to classification: some objectives and options. Extensions and corrections to the UDC2006, no. 28.
30.
ReinerU. Automatic analysis of Dewey decimal classification notations. In: Data analysis, machine learning and applications. 2008, pp. 697–704.
31.
OtletPFontaineHL. The universal decimal classification (UDC). The Hague: (UDC Consortium, 1991–2011), http://www.udcc.org/ (accessed February 2011).
32.
MöllerGCarstensenK-UDiekmannBWätjenH. Automatic classification of the world-wide web using the Universal Decimal Classification. In: DeckerRGaulW (eds) Proceedings of the 23rd annual conference of the German Classification Society (GfKl). Bielefeld: Springer, 1999, pp. 231–238.
33.
GilesCLKurtDBSteveL. CiteSeer: an automatic citation indexing system. In: Proceedings of the third ACM conference on digital libraries.Pittsburgh, PA: ACM, 1998.
34.
MeierW. eXist-DB(exist-db.org, released under the open source GPL licence, 2009), http://exist.sourceforge.net/ (accessed February 2011).
35.
Google Books Search (GBS) engine (Google, 2004), http://books.google.com/ (accessed February 2011).
MARC standards. Library of Congress Network Development and MARC Standards Office, 1999; http://www.loc.gov/marc/ (accessed February 2011).
39.
CouncillIGGilesCLKanMY. ParsCit: an open-source CRF reference string parsing package. In: Language Resources and Evaluation Conference (LREC 08), May 2008, Marrakesh.
40.
O’MadadhainJFisherDNelsonTWhiteSBoeyY-B. JUNG 2.0(released under the open source GPL licence, 2009), http://jung.sourceforge.net/index.html (accessed February 2011).
41.
de AndrésA. Evaluating research using impact and Hirsch factors. Europhysics News2011; 42(2): 29–31.
