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Classification of scientific publications according to library controlled vocabularies: A new concept matching-based approach

JOORABCHI, Arash ; MAHDI, Abdulhussain E Greenberg, Eva Mendez Rodriguez and Gema Bueno de la Fuente, Jane

Library hi tech, 2013-01, Vol.31 (4), p.725-747 [Periódico revisado por pares]

Bingley: Emerald

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Título:
Classification of scientific publications according to library controlled vocabularies: A new concept matching-based approach
Autor: JOORABCHI, Arash ; MAHDI, Abdulhussain E
Greenberg, Eva Mendez Rodriguez and Gema Bueno de la Fuente, Jane
Assuntos: Algorithms ; Applications ; Applications (e.g. Digitizing,...) ; Automatic classification ; Automation ; Classification ; Classification schemes ; Design engineering ; Dewey Decimal Classification ; Digital libraries ; Documentation institutions ; Exact sciences and technology ; Information and communication sciences ; Information and communication technologies ; Information science ; Information science. Documentation ; Information technologies: storage media, equipment ; Institutional repositories ; Libraries ; Library and information science ; Library catalogs ; Library collections ; Library of Congress Classification ; Library of Congress Subject Headings ; Machine learning ; Metadata ; Methods ; Open access publishing ; R&D ; Research & development ; Science ; Sciences and techniques of general use ; Search engines ; Searching ; Similarity ; Studies ; Subject heading schemes ; Subject indexing ; Support vector machines ; Text categorization ; Vocabularies & taxonomies
É parte de: Library hi tech, 2013-01, Vol.31 (4), p.725-747
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ObjectType-Article-1
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Descrição: Purpose - This paper aims to report on the design and development of a new approach for automatic classification and subject indexing of research documents in scientific digital libraries and repositories (DLR) according to library controlled vocabularies such as DDC and FAST. Design/methodology/approach - The proposed concept matching-based approach (CMA) detects key Wikipedia concepts occurring in a document and searches the OPACs of conventional libraries via querying the WorldCat database to retrieve a set of MARC records which share one or more of the detected key concepts. Then the semantic similarity of each retrieved MARC record to the document is measured and, using an inference algorithm, the DDC classes and FAST subjects of those MARC records which have the highest similarity to the document are assigned to it. Findings - The performance of the proposed method in terms of the accuracy of the DDC classes and FAST subjects automatically assigned to a set of research documents is evaluated using standard information retrieval measures of precision, recall, and F1. The authors demonstrate the superiority of the proposed approach in terms of accuracy performance in comparison to a similar system currently deployed in a large scale scientific search engine. Originality/value - The proposed approach enables the development of a new type of subject classification system for DLR, and addresses some of the problems similar systems suffer from, such as the problem of imbalanced training data encountered by machine learning-based systems, and the problem of word-sense ambiguity encountered by string matching-based systems.
Editor: Bingley: Emerald
Idioma: Inglês

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Classification of scientific publications according to library controlled vocabularies: A new concept matching-based approach

JOORABCHI, Arash ; MAHDI, Abdulhussain E Greenberg, Eva Mendez Rodriguez and Gema Bueno de la Fuente, Jane

Bingley: Emerald

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