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Your search keyword '"Classification -- Case studies"' showing total 3 results
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3 results on '"Classification -- Case studies"'

1. Documenting Classification Systems: A Case Study and Considerations

Author

Straughn, Christopher

Subjects
Classification -- Case studies, Government publications -- Identification and classification, Company systems management, Business, Library and information science, Northern Illinois University -- Information management
Abstract

There is little literature on documenting the correct application of classification systems. This paper seeks to remedy this gap by describing how Northeastern Illinois University created documentation for their implementation of system that describes Illinois State publications. We recommend creating documentation that is flexible, accessible, and user-oriented. Flexible documentation not only facilitates changes to the documentation, it also allows librarians to take advantage of other uses of this documentation. In our case, the process of documentation produced a near complete listing of Illinois publications and provided the basis for a structural history of Illinois government. Documentation of classification systems not only improves library work, but also assists in preserving artifacts of library history., The goal of library classification is to 'bring together those books which will be most used together,' (1) and by doing so improve retrieval and enhance browsing, among other things. [...]

Published
2023

2. Sea ice classification using SAR backscatter statistics

Author

Nystuen, Jeffrey A. and Garcia, Frank W., Jr.

Subjects
Synthetic aperture radar -- Usage, Sea ice -- Analysis, Classification -- Case studies, Backscattering -- Research, Business, Earth sciences, Electronics and electrical industries
Published
1992

3. Supervised document classification based upon domain-specific term taxonomies

Author

Bellomi, Francesco and Cristani, Matteo

Subjects
Computational linguistics -- Methods, Natural language interfaces -- Methods, Language processing -- Methods, Classification -- Case studies, Computers
Abstract

Byline: Francesco Bellomi, Matteo Cristani The classification of documents is an interesting topic of recent terminological investigations, in particular the technological ones. Some sophisticated techniques have been developed which provide the classification based upon the recognition of specific linguistic features, such as specific terms or occurrences of phrases. A limited number of cases exist of real document classification applications that make use of natural language processing techniques providing both statistical analysis and human supervision, where the system fully automates the classification process, but the instruction of the taxonomy is a totally human centred activity. In this paper we focus on an application with the above mentioned features; we then introduce a methodology that makes use of this application. The fundamental argument in favour of a specific methodology is that the analysis which leads to the deployment of the term 'taxonomy' can be seen as an ontology construction: we also discuss this aspect as a general motivation.

Published
2006

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