Abstract
In the current Web, e-document has been the most common vehicle for delivering and exchanging information. As the amount of e-documents has grown enormously, effective classification facilities are urgently needed to classify and query e-documents users want. In this paper, we propose a method to classify e-documents into a set of predefined categories based on Fuzzy Cognitive Map (FCM). The e-documents are collected from Internet by a meta-search engine. FCM has been employed to capture the semantic relationships between keywords of e-documents. Experiments with a set of local e-documents have proved that this approach has high performance and can help users getting the e-documents efficiently and effectively. The proposed method has been implemented and integrated into the Dunhuang Feitian System to manage and classify e-documents.
This work was supported by the National Basic Research Program of China (973 project no.2003CB317000) and the National Science Foundation of China (Grants 70271007, 60273020, 60402016).
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
Haruechaiyasak, C., Shyu, M., Chen, S.: Web Document Classification Based on Fuzzy Association. In: Proceedings of the 26th Annual International Computer Software and Applications Conference (COMPSAC 2002), Oxford, England (2002)
Lee, J., Lee, K., Kim, W.: Preparations for Semantics-Based XML Mining. In: Proceedings of the 2001 IEEE International Conference on Data Mining, California, USA (2001)
Tsadiras, A., Margaritis, K.: Cognitive Mapping and Certainty Neuron Fuzzy Cognitive Maps. Information Sciences 101, 109–130 (1997)
Hart, J.: Comparative Cognition: Politics of International Control of Oceans. In: Axelrod, R. (ed.) Structure of Decision, pp. 180–217. Princeton University Press, Princeton (1976)
Tsadiras, A., Margaritis, K., Mertzios, B.: Strategic Planning Using Extended Fuzzy Cognitive Maps. Studies in Informatics and Control 4(3), 237–245 (1995)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Zhuge, H.: Clustering Soft-device in the Semantic Grid. IEEE Computing in Science and Engineering 4(6), 60–62 (2002)
Zhuge, H.: Active e-Document Framework ADF: Model and Platform. Information and Management 41(1), 87–97 (2003)
Zhuge, H., Jia, R.: Semantic Link Network Builder and Intelligent Browser. Concurrency and Computation: Practice and Experience 16(14), 1453–1476 (2004)
Zhuge, H.: The Knowledge Grid. World Scientific, Singapore (2004)
Zhuge, H.: Resource Space Grid: Model, Method and Platform. Concurrency and Computation: Practice and Experience 16(14), 1385–1413 (2004)
Zhuge, H.: Resource Space Model, Its Design Method and Applications. Journal of Systems and Software 72(1), 71–81 (2004)
Zhuge, H.: China’s E-Science Knowledge Grid Environment. IEEE Intelligent Systems 19(1), 13–17 (2004)
Zhuge, H.: Semantic Grid: Scientific Issues, Infrastructure, and Methodology. Communications of the ACM 48(4), 117–119 (2005)
Zhuge, H.: The Future Interconnection Environment. IEEE Computer 38(4), 27–33 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, J. et al. (2005). Using Fuzzy Cognitive Map to Effectively Classify E-Documents and Application. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_77
Download citation
DOI: https://doi.org/10.1007/11590354_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
Online ISBN: 978-3-540-32277-1
eBook Packages: Computer ScienceComputer Science (R0)