Collaborative Information Retrieval Framework Based on FCA
Cencheng Shen, Yun Li, Yan Sheng, Luan Luan · Physics Procedia · 2012
In Collaborative Information Retrieval, for multiple sub-text databases, sub-lattices are constructed with the incremental update algorithms. Then, similarity measuring is used to match the formal concepts, use merging to obtain new concepts after finding provisional concept sets. Similarity matching is used to the new concepts to get the final result set. The framework can work under a distributed environment and an an imprecise way is used when matching the query words, which considered the convenience of users.