The Cambridge University Multimedia Document Retrieval Demo System is a web based application that allows the user to query a database of automatically generated transcripts of ra...
A. Tuerk, Sue E. Johnson, P. Jourlin, Karen Sparck...
In many domains there are specific attributes in documents that carry more weight than the general words in the document. This paper proposes the use of information extraction tec...
The inclusion of document length factors has been a major topic in the development of retrieval models. We believe that current models can be further improved by more refined est...
Several types of queries are widely used on the World Wide Web and the expected retrieval method can vary depending on the query type. We propose a method for classifying queries ...
In this paper, we present our preliminary work on a Geographic Information Retrieval (GIR) system that utilizes loosely coupled web services and Google EarthTM (GE) to retrieve, e...
Brian M. Tomaszewski, Chi-Chun Pan, Prasenjit Mitr...