Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases

From Tetherless World Wiki

Jump to: navigation, search

KSL-95-48 +  redirect page

Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases +  Has identifier

Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases +  Ksl tr id

Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases +  Number

Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases

Bibtype  techreport

Has publishing details  May,1995

Has title  Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases

Has where published  KSL-95-48

Has year  1995

Title  Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases

Year  1995

Abstract  Conventional methods for retrieving inform Conventional methods for retrieving information from the medical literature are imprecise and inefficient. Information retrieval systems employ unmanageable indexing vocabularies or use full-text representations that overwhelm the user with irrelevant information. This paper describes a document representation designed to improve the precision of searching in textual databases without significantly compromising recall. There presentation augments simple text word representations with contextual models that reflect recurring semantic themes in clinical publications. Using this representation, a searcher may indicate both the terms of interest and the contexts in which they should occur. The contexts limit the potential interpretations of text words, and thus form the basis for more precise searching. In this paper, we discuss the shortcomings of traditional retrieval systems and describe our context-based representation. Improved retrieval performance with contextual models is illustrated by example, and a more extensive study is proposed. We present an evaluation of the contextual models as an indexing scheme, using a variation of the traditional inter-indexer consistency experiments, and we demonstrate that contextual indexing is reproducible by minimally trained physicians and medical students. y trained physicians and medical students.

Note  Updated September 1995. Medical Computer Science

Author  Gretchen P. Purcell and Edward H. Shortliffe +

Has author  Gretchen P. Purcell and Edward H. Shortliffe +

Has identifier  Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases +

Month  May +

Number  Contextual Models of Clinical Publications for Enhancing Retrieval from Full-Text Databases +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

Enter the name of the page to start browsing from.
Views
Personal tools