CONCLUSION


This chapter has presented a user -oriented, concept-based approach for multilingual web content mining using self-organizing maps. The multilingual concept space is constructed to enable an automatic and unsupervised discovery of the multilingual linguistic knowledge from a parallel corpus . A conceptbased multilingual text classifier is developed to realize a language-independent, concept-based classification of multilingual web documents onto a single browsing interface. A concept-based user profile is generated from the user's bookmark file to model a user's multilingual information interests comprising multiple topics. This approach to user profiling increases the semantic comprehensiveness, and the resultant user profile is independent of the language of the web documents to be filtered. As a result, multilingual web content mining activities, ranging from explorative browsing to personalized information filtering, can be effectively personalized.




(ed.) Intelligent Agents for Data Mining and Information Retrieval
(ed.) Intelligent Agents for Data Mining and Information Retrieval
ISBN: N/A
EAN: N/A
Year: 2004
Pages: 171

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