Abstract
We present a case study in approximate data matching for a database system that contains information about scientific publications. The approximate matching process is meant to identify whether several records in the database are in fact repeated instances of the same real-world object. In our case study we are concerned with matching instances of objects such as XML documents, persons’ names, affiliations, journal names, and so on. The particular data we are dealing with is a representation of the PubMed Central document corpus within the data warehouse that is a part of the SONCA system. SONCA system is being developed as one of components of the general scientific information platform SYNAT.
This work was supported by the grant N N516 077837 from the Ministry of Science and Higher Education of the Republic of Poland, the Polish National Science Centre grant 2011/01/B/ST6/03867 and by the Polish National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 in frame of the strategic scientific research and experimental development program: “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.
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Szczuka, M., Betliński, P., Herba, K. (2012). Named Entity Matching in Publication Databases. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_20
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DOI: https://doi.org/10.1007/978-3-642-32115-3_20
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