A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Information-driven networks include a large category of networking systems, where network nodes are aware of information delivered and thus can not only forward data packets but m...
Concurrently with fast development of location aware technologies, many applications have been developing to exploit location data for serving people. However, a main challenge in...
Based on the expectancy disconfirmation theory, this study proposes a decomposed technology acceptance model in the context of an e-learning service. In the proposed model, the pe...
Juan Carlos Roca, Chao-Min Chiu, Francisco Jos&eac...