Abstract
Personalized multilingual Web content mining is particularly important for user who wants to keep track of global knowledge that is relevant to his/her personal domain of interest over the multilingual WWW. This paper presents a novel concept-based approach to personal multilingual Web content mining by constructing a personal multilingual Web space using self-organising maps. Multilingual linguistic knowledge required to define the multilingual Web space is made available by encoding all multilingual concept-term relationships using a multilingual concept map. With this map as the linguistic knowledge base, a concept-based multilingual text miner is developed to reveal the conceptual content of multilingual Web documents and to form concept categories of multilingual Web documents on a concept-based browsing interface. To construct the personal multilingual Web space, a concept-based user profile is generated from a user’s bookmark file for highlighting the user’s topics of information interests on the browsing interface. As such, personal multilingual Web mining activities ranging from explorative browsing to user-oriented concept-focused information filtering are facilitated.
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
Carbonell, J.G., Yang, Y., Frederking, R.E., Brown, R.D., Geng, Y., Lee, D.: Translingual information retrieval: a comparative evaluation. In: Pollack, M.E. (ed.) IJCAI-1997 Proceedings of the 15th International Joint Conference on Artificial Intelligence, pp. 708–714 (1997)
Chakrabarti, S.: Data mining for hypertext: a tutorial survey. ACM SIGKDD Exploration 1(2), 1–11 (2000)
Chang, C., Healey, M.J., McHugh, J.A.M., Wang, J.T.L.: Mining the World Wide Web: an information search approach. Kluwer Academic Publishers, Dordrecht (2001)
Davis, M.: New experiments in cross-language text retrieval at nmsu’s computing research lab. In: Proceedings of the Fifth Retrieval Conference (TREC-5) Gaithersburg. MD: National Institute of Standards and Technology (1996)
Kohonen, T.: Self-Organising Maps. Springer, Berlin (1995)
Kosala, R., Blockeel, H.: Web mining research: a survey. ACM SIGKDD Exploration 2(1), 1–15 (2000)
Landauer, T.K., Littman, M.L.: Fully automatic cross-language document retrieval. In: Proceedings of the Sixth Conference on Electronic Text Research, pp. 31–38 (1990)
Lang, K.: NewsWeeder: Learning to filter news. In: Proceeding on the 12th International Conference on Machine Learning, pp. 331–339. Morgan Kaufmann, Lake Tahoe, CA (1995)
Lieberman, H., Van Dyke, N.W., Vivacqua, A.S.: Let’s browse: A collaborative browsing agent. In: Proceedings of the 1999 International Conference on Intelligent User Interfaces, Collaborative Filtering and Collaborative Interfaces, pp. 65–68 (1999)
Mukhopadhyay, S., Mostafa, J., Palakal, M., Lam, W., Xue, L., Hudli, A.: An adaptive multi-level information filtering system. In: Proceedings of The Fifth International Conference on User Modelling, pp. 21–28 (1996)
Salton, G.: Automatic Text Processing: The Transformation, analysis, and Retrieval of Information by Computer. Addison-Wesley, Reading, MA (1989)
Soergel, D.: Multilingual thesauri in cross-language text and speech retrieval. In: Working Notes of AAAI Spring Symposium on Cross-Language Text and Speech Retrieval, Stanford, CA, pp. 164–170 (1997)
Tan, A.H.: Text Mining: The state of the art and the challenges. In: Zhong, N., Zhou, L. (eds.) PAKDD 1999. LNCS (LNAI), vol. 1574, pp. 65–70. Springer, Heidelberg (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chau, R., Yeh, CH., Smith, K.A. (2004). Personalized Multilingual Web Content Mining. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_26
Download citation
DOI: https://doi.org/10.1007/978-3-540-30132-5_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
eBook Packages: Springer Book Archive