Abstract
The definitive classification of scientific journals depends on their aims and scopes details. In this paper, we present an approach to facilitate the journals classification of the DBLP datasets. For the analysis, the DBLP data sets were pre-processed by assigning each journal attributes defined by its topics and then the theory of formal concept analysis is introduced. It is subsequently shown how this theory can be applied to analyze the relations between journals and the extracted topics from their aims and scopes. The result is a concept lattice that contains information on journal-topic relational context depending on how they are associated. It is shown how this approach can be used to facilitate the classifications of scientific journals.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wille, R.: Restructuring lattice theory: an approach based on hierarchies of concepts. In: Rival, I. (ed.) Ordered Sets, pp. 445–470. Reidel, Dordrecht (1982)
Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical foundations. Springer, Heidelberg (1999)
Beydoun, G.: Using Formal Concept Analysis towards Cooperative E-Learning. In: Richards, D., Kang, B.-H. (eds.) PKAW 2008. LNCS (LNAI), vol. 5465, pp. 109–117. Springer, Heidelberg (2009)
Beydoun, G., Kultchitsky, R., Manasseh, G.: Evolving semantic web with social navigation. Expert Systems with Applications 32, 265–276 (2007)
Maddouri, M.: A Formal Concept Analysis Approach to Discover Association Rules from Data. In: Belohlavek, R. (ed.) CLA, 10-21 (2005)
Priss, U.: Formal Concept Analysis in Information Science. In: Blaise, C. (ed.) Annual Review of Information Science and Technology. ASIST, vol. 40 (2006)
Ganter, B., Kuznetsov, S.O.: Scale Coarsening as Feature Selection. In: Medina, R., Obiedkov, S. (eds.) ICFCA 2008. LNCS (LNAI), vol. 4933, pp. 217–228. Springer, Heidelberg (2008)
Stumme, G., Bestride, Y., Taouil, R., Lakhal, L.: computing Iceberg Concept lattices with TITANIC. Data and Knowledge Engineering 42(2), 189–222 (2002)
Stumme, G., Wille, R., Wille, U.: Conceptual knowledge discovery in databases using Formal Concept Analysis Methods. In: Żytkow, J.M. (ed.) PKDD 1998. LNCS, vol. 1510, pp. 450–458. Springer, Heidelberg (1998)
Ley, M.: The dblp computer science bibliography: Evolution, research issues, perspectives. In: Laender, A.H.F., Oliveira, A.L. (eds.) SPIRE 2002. LNCS, vol. 2476, pp. 1–10. Springer, Heidelberg (2002)
Zaiane, O.R., Chen, J., Goebel, R.: Dbconnect: mining research community on dblp data. In: WebKDD/SNA-KDD 2007: Proceedings of the 9th WebKDD and 1st SNA-KDD, Workshop on Web Mining and Social Network Analysis, pp. 74–81. ACM, New York (2007)
Klamma, R., Cuong, P.M., Cao, Y.: You never walk alone: Recommending academic events based on social network analysis. Complex (1), 657–670 (2009)
Chan, S., Pon, R., Cardenas, A.: Visualization and clustering of author social networks. In: Distributed Multimedia Systems Conference, pp. 174–180 (2006)
Peng, Y., Kou, G., Shi, Y.: Recent trends in data mining: Document clustering of dm publications. In: International Conference on Service Systems and Service Management, vol. 2, pp. 1653–1659 (2006)
Sun, J., Tao, D., Faloutsos, C.: Beyond streams and graphs: dynamic tensor analysis. In: KDD 2006: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 374–383. ACM, New York (2006)
Sun, Y., Han, J., Zhao, P., Yin, Z., Cheng, H., Wu, T.: Rankclus: integrating clustering with ranking for heterogeneous information network analysis. In: EDBT 2009: Proceedings of the 12th International Conference on Extending Database Technology, pp. 565–576. ACM, New York (2009)
Li, T., Ding, C., Zhang, Y., Shao, B.: Knowledge transformation from word space to document space. In: SIGIR 2008: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 187–194. ACM, New York (2008)
Obadi, G., Drazdilova, P., Hlavacek, L., Martinovic, J., Snasel, V.: A Tolerance Rough Set Based Overlapping Clustering for the DBLP Data. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, pp. 57–60 (2010)
Krohn, U., Davies, N.J., Weeks, R.: Concept lattices for knowledge management. BT Technology Journal 17(4), 108–116 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Alwahaishi, S., Martinovič, J., Snášel, V. (2011). Analysis of the DBLP Publication Classification Using Concept Lattices. In: Ariwa, E., El-Qawasmeh, E. (eds) Digital Enterprise and Information Systems. DEIS 2011. Communications in Computer and Information Science, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22603-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-22603-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22602-1
Online ISBN: 978-3-642-22603-8
eBook Packages: Computer ScienceComputer Science (R0)