We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
This paper introduces the concept of a Parameterised Search System (PSS), which allows flexibility in user queries, and, more importantly, allows system engineers to easily defin...
Activities such as Web Services and the Semantic Web are working to create a web of distributed machine understandable data. In this paper we present an application called Semanti...
Biosequence similarity search is an important application in modern molecular biology. Search algorithms aim to identify sets of sequences whose extensional similarity suggests a c...
Praveen Krishnamurthy, Jeremy Buhler, Roger D. Cha...
Despite the importance of ranked queries in numerous applications involving multi-criteria decision making, they are not efficiently supported by traditional database systems. In ...