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...
Business processes can be very large and may contain several different concerns, scattered across the process and tangled with other concerns. Crosscutting concerns are difficult t...
In this paper, we introduce a multilingual access and retrieval system with enhanced query translation and multilingual document retrieval, by mining bilingual terminologies and a...
This paper describes our experiments on the two tasks of the TREC 2007 Enterprise track. In data preprocessing stage we stripped the non-letter character from documents and query....
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information o...