Library of Congress Subject Headings for Environmental Topics
نویسندگان
چکیده
منابع مشابه
Predicting Library of Congress classifications from Library of Congress subject headings
This paper addresses the problem of automatically assigning a Library of Congress Classification (LCC) to a work given its set of Library of Congress Subject Headings (LCSH). LCCs are organized in a tree: The root node of this hierarchy comprises all possible topics, and leaf nodes correspond to the most specialized topic areas defined. We describe a procedure that, given a resource identified ...
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This paper will explore using XSLT stylesheets to translate LCSH Authority Records from MARC/XML or MADS XML formats into RDF documents according to the SKOS project's Quick Guide to Publishing a Thesaurus on the Semantic Web. Creating an RDF Data Store that represents the content of LCSH will have tremendous long-term benefits in allowing a greater breadth of applications to make full use of t...
متن کاملUser tags versus expert-assigned subject terms: A comparison of LibraryThing tags and Library of Congress Subject Headings
Social tagging, as a recent approach for creating metadata, has caught the attention of library and information science researchers. Many researchers recommend incorporating social tagging into the library environment and combining folksonomies with formal classification. However, some researchers are concerned with the quality issues of social annotation because of its uncontrolled nature. In ...
متن کاملBoosting for Text Classification with Subject Headings
s: The aim of this study is to investigate how Medical Subject Headings (MeSH) as background knowledge source can improve text classification results. The hypothesis is experimented with two different sets of medical documents using HMM-based TC classifier. Experimental results show the improvement of the performance with MeSH in accuracy. Résumé : Le but de cette étude est d’examiner comment l...
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ژورنال
عنوان ژورنال: Electronic Green Journal
سال: 1997
ISSN: 1076-7975
DOI: 10.5070/g31710268