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 ...
متن کاملCongressional Record - 102nd Congress (1991-1992) - THOMAS (Library of Congress)
SOVIET SCIENTISTS IMMIGRATION ACT OF 1992 (House of Representatives September 21, 1992) [Page: H8814] Mr. MAZZOLI. Mr. Speaker, I move to suspend the rules and pass the Senate bill (S. 2201) to authorize the admission to the United States of certain scientists of the Commonwealth of Independent States and the Baltic States as employment-based immigrants under the Immigration and Nationality Act...
متن کاملPredicting Library of Congress Classifications From Library of
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). LCC 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 b...
متن کاملLibrary of Congress Classification as linked data
In 2009 and in 2011, the Library of Congress made two of its largestauthority files –Subject Headings and Names available as linked data via LC’slinked data service, id.loc.gov. Both are offered in MADS/RDF and SKOS. It isLC’s objective, in 2012, to publish another of its largest authority files as linkeddata: LC Classification. However, whereas the source records for Subject He...
متن کاملExperiments in Automatic Library of Congress Classification
This article presents the results of research into the automatic selection of Library of Congress Classification numbers based on the titles and subject headings in MARC records. The method used in this study was based on partial match retrieval techniques using various elements of new records (i.e., those to be classified) as “queries,” and a test database of classification clusters generated ...
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ژورنال
عنوان ژورنال: Theology Cataloging Bulletin
سال: 2012
ISSN: 1548-8497
DOI: 10.31046/tcb.v20i3.1350