Standardizing formats of corporate source data |
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Authors: | Carmen Galvez Félix Moya-Anegón |
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Affiliation: | (1) Scimago Research Group, Department of Information Science, University of Granada, 18071 Granada, Spain |
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Abstract: | This paper describe an approach for improving the data quality of corporate sources when databases are used for bibliometric
purposes. Research management relies on bibliographic databases and citation index systems as analytical tools, yet the raw
resources for bibliometric studies are plagued by a lack of consistency in fied formatting for institution data. The present
contribution puts forth a Natural Language Processing (NLP)-oriented method for the identification of the structures guiding
corporate data and their mapping into a standardized format. The proposed unification process is based on the definition of
address patterns and the ensuing application of Enhanced Finite-State Transducers (E-FST). Our procedure was tested on address
formats downloaded from the INSPEC, MEDLINE and CAB Abstracts. The results demonstrate the helpfulness of the method as long
as close control of errors is exercised as far as the formats to be unified. The computational efficacy of the model is noteworthy,
due to the fact that it is firmly guided by the definition of data in the application domain. |
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