Information Retrieval on Task-Relevant Knowledge Using Fuzzy Concept Network and User Profile

In complex and knowledge-intensive environments, it is important that effective knowledge management can help users find pertinent task-relevant knowledge to improve their task performance. This work proposes a new information retrieval algorithm using fuzzy concept network and user profile in order to retrieve task-relevant information to fulfill the information needs of knowledge workers. In the algorithm, a user's profile based on interest and task of user is represented using ontology. The algorithm can expand users' queries for fuzzy information retrieval in a more effective manner. Experiment result show the algorithm can provide efficiently task-relevant knowledge by user's query.