This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
At the present time, several shortcomings prevent the more effective use and more intense application of web information systems. Recent developments that are subsumed by the term...
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...