Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their interrelationships. This is used to develop a generic representation fr...
Information retrieval system evaluation is complicated by the need for manually assessed relevance judgments. Large manually-built directories on the web open the door to new eval...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...
Traditional semantic web query languages support a logicbased access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and...
Semantic similarity measurement is a key methodology in various domains ranging from cognitive science to geographic information retrieval on the Web. Meaningful notions of similar...