The probabilistic retrieval model developed in this paper incorporates the relationships of descriptors. A learning model is proposed to figure out the relationships incrementally. Each time retrieval results are available, the method identifies in the relevant documents the descriptors that designate the concepts specified by the query…

Reports results from a national study into the perceived variation reported by health information managers related to the relevance-efficiency trade-offs of information classification across regions and practice settings. Findings suggest that due to major regional variation, stringent national information standards may be counterproductive for…

Examines central issues in the application of logic to information retrieval (IR). Discusses the logical relationship between document and need; implications of models based on truth, validity, or logical consequentiality, and the relationship between this issue and the issue of partiality versus totality of information; and the relationship…

Introduces a novel approach to unsupervised text summarization. Proposes an "information-centric" approach to evaluation, where the quality of summaries is judged not in terms of how well they match human-created summaries but in terms of how well they represent their source documents in information retrieval tasks such as document…

Analyzes certain features of work tasks and relates these features to types of information people are looking for and using in their tasks, patterning of search strategies for obtaining information and relevance assessments in choosing retrieved documents. The major claim is that these information activities are systematically connected to task…