Bibliographic Classification using the ADS Databases

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dc.creatorAccomazzi, Alberto
dc.creatorKurtz, Michael J.
dc.creatorEichhorn, Guenther
dc.creatorHenneken, Edwin
dc.creatorGrant, Carolyn S.
dc.creatorDemleitner, Markus
dc.creatorMurray, Stephen S.
dc.date2005-10-31
dc.date.accessioned2026-07-07T06:49:32Z
dc.date.available2026-07-07T06:49:32Z
dc.descriptionWe discuss two techniques used to characterize bibliographic records based on their similarity to and relationship with the contents of the NASA Astrophysics Data System (ADS) databases. The first method has been used to classify input text as being relevant to one or more subject areas based on an analysis of the frequency distribution of its individual words. The second method has been used to classify existing records as being relevant to one or more databases based on the distribution of the papers citing them. Both techniques have proven to be valuable tools in assigning new and existing bibliographic records to different disciplines within the ADS databases.
dc.descriptionLatex, 4 pages, 1 Figure. To be published in the Proceedings of the Conference "Astronomical Data Analysis Software & Systems XV" held October 2-5, 2005, in San Lorenzo de El Escorial, Spain
dc.identifierhttps://arxiv.org/abs/cs/0511002
dc.identifierhttp://arxiv.org/abs/cs/0511002
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/104380
dc.subjectInformation Retrieval
dc.subjectDigital Libraries
dc.titleBibliographic Classification using the ADS Databases
dc.typetext

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