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Gordon W Paynter - One of the best experts on this subject based on the ideXlab platform.

  • predicting library of Congress Classifications from library of Congress subject headings
    Journal of the Association for Information Science and Technology, 2004
    Co-Authors: Eibe Frank, Gordon W Paynter
    Abstract:

    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 by its LCSH, automatically places that resource in the LCC hierarchy. The procedure uses machine learning techniques and training data from a large library catalog to learn a model that maps from sets of LCSH to Classifications from the LCC tree. We present empirical results for our technique showing its accuracy on an independent collection of 50,000 LCSH/LCC pairs.

Cory Williams - One of the best experts on this subject based on the ideXlab platform.

Eibe Frank - One of the best experts on this subject based on the ideXlab platform.

  • predicting library of Congress Classifications from library of Congress subject headings
    Journal of the Association for Information Science and Technology, 2004
    Co-Authors: Eibe Frank, Gordon W Paynter
    Abstract:

    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 by its LCSH, automatically places that resource in the LCC hierarchy. The procedure uses machine learning techniques and training data from a large library catalog to learn a model that maps from sets of LCSH to Classifications from the LCC tree. We present empirical results for our technique showing its accuracy on an independent collection of 50,000 LCSH/LCC pairs.

Vargas Lama Franco - One of the best experts on this subject based on the ideXlab platform.

  • La clasificación de la Biblioteca del Congreso de los Estados Unidos (LCC) : correspondencia de los temas de la sección F3442-F3447 de la subdivisión "Peru" respecto a los de la bibliografía peruana
    'Baishideng Publishing Group Inc.', 2020
    Co-Authors: Vargas Lama Franco
    Abstract:

    La Clasificación de la Biblioteca del Congreso de los Estados Unidos (Library of Congress Classification, LCC por su abreviatura en inglés) uno de los sistemas de organización del conocimiento en bibliotecas más empleadas a nivel mundial por su estructura y alcance y por su apoyo en la conexión con los recursos de información requeridos, presenta diferencias respecto a la complejidad, actualización y atingencia respecto al desarrollo de investigaciones en Historia Universal y de América Latina. En tal sentido esta investigación busca comprobar tales diferencias respecto a la realidad histórica y bibliográfica peruana, para lo cual se propone estimar el grado de correspondencia existente en 180 temas (acontecimientos históricos y personajes) en función de aparición y no aparición tanto en la sección F3442 – F3447 de la LCC “Peru”, localizada en la clase F, “Historia de las Américas”, subdivisión “Peru” F3400 –F3700, como en seis autores reconocidos en bibliografía peruana (periodo histórico 1492 – 1919) seleccionados sistemáticamente del Sistema de Bibliotecas de la Pontificia Universidad Católica del Perú (PUCP). Dos tablas de grados se proponen para estimar la correspondencia, adaptadas de la escala de Likert, las cuales componen el instrumento de medición. Después de contabilizar en sumatorias, porcentajes y proporciones, se concluye que el grado de correspondencia existente entre las estructuras del conocimiento mencionadas es de 2.970/1, “bajo”, no obstante es diverso el conjunto de proporciones, como de grados, tanto para cada autor, como para cada periodo. El autor de mayor proximidad en grado de correspondencia es Fisher, para su bibliografía de 1989, con 1.692, “alto”, y el de mayor lejanía en grado es Porras, para su obra de 1963, con 3.974, “muy bajo”. Para el caso de los periodos, el de mayor proximidad en grado de correspondencia es “Emancipación e Independencia del Perú (1820 – 1830)” con 2.217/1, “alto” y el de mayor lejanía es “Virreinato del Perú (1548 – 1824)” con 4.042/1, “bajo”. No obstante, se sugieren más estudios en Perú como en América Latina tanto para otros campos temáticos de la LCC, como también en correlación con sus precedentes teóricos.The Library of Congress Classification one of the most widely used knowledge organization systems in libraries worldwide for its structure and scope and for its support in the connection with the required information resources, presents differences regarding complexity, updating and compliance with respect to the development of research in Universal and Latin America, history. In this sense, this research seeks to verify such differences with respect to the Peruvian historical and bibliographic reality, for which it is estimated the degree of correspondence existing in 180 subjects (historical events and characters) based on appearance and not appearance in LCC “Peru”, section F3442 - F3447, located in F class, “History of the Americas”, peruvian subdivision, F3400 –F3700, as in six authors recognized in Peruvian bibliography (historical period 1492 - 1919) systematically selected from the Pontificia Universidad Católica del Perú (PUCP) library system. Two tables of degrees are proposed to estimate the correspondence, adapted from the Likert scale, and consist the measuring instrument. After counting in summations, percentages and proportions, it is concluded that the degree of correspondence between the aforementioned knowledge structures is 2,970 / 1, "low", however the set of proportions, as of degrees, is varied for both author, as for each period. The author of the closest degree of correspondence is Fisher, for his 1989 bibliography, with 1,692, "high," and the one with the greatest distance is Porras, for his 1963 work, with 3,974, "very low." In the case of the periods, the one with the closest degree of correspondence is “Emancipation and Independence of Peru (1820 - 1830)” with 2,217 / 1, “high” and the one with the greatest distance is “Viceroyalty of Peru (1548 - 1824)” with 4.042 / 1, “low”. However, more studies in Peru and Latin America are suggested for LCC in other thematic fields as well as in correlation with their state-of-the-art approach.Tesi

Steve Brantley - One of the best experts on this subject based on the ideXlab platform.