In this paper we present a profile-based approach to information filtering by an analysis of the content of text documents. The Wikipedia index database is created and used to automatically generate the user profile from the user document collection. The problem-oriented Wikipedia subcorpora are created (using knowledge extracted from the user profile) for each topic of user interests. The index databases of these subcorpora are applied to filtering information flow (e.g., mails, news). Thus, the analyzed texts are classified into several topics explicitly presented in the user profile. The paper concentrates on the indexing part of the approach. The architecture of an application implementing the Wikipedia indexing is described. The indexing method is evaluated using the Russian and Simple English Wikipedia.
- Pub Date:
- April 2008
- Computer Science - Information Retrieval;
- Computer Science - Computation and Language;
- 9 pages, 1 table, 2 figures, 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid, Spain, September 21-24, 2008