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Database enrichment environment to identify duplicate tuples

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Fourth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2011) (FDIA)

Future Directions in Information Access (FDIA 2011)

31 August 2011

Data Cleansing, Information Retrieval, Duplicate Tuples, Knowledge Discovery in Databases

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      One of the significant problems and inherent to current large databases is the incidence of duplicate tuples. This problem refers to the repetition of records that, in most cases, are represented differently in databases but refer to the same real world entity, which makes the task of identifying those tuples a hard work. Considering that each language has its peculiarities, it is believed that the use of text operations techniques from the area of Information Retrieval can enrich the content of the records for a specific language and thus maximize the amount of identified duplicate tuples and/or improve the confidence level of their classification in relation to current tools. The main contribution of this paper is to provide a language independent environment able to approximate the spelling of the records in a database and thus identify duplicate tuples more efficiently than the isolated application of traditional methods. In addition to only improve database quality this tool can also improve the process of Knowledge Discovery in Databases (KDD).

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      Febrl - A Parallel Open Source Data Linkage System


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        São José do Rio Preto – SP
        August 2011
        August 2011
        : 18-19
        © Juliano Augusto Carreira. Published by BCS Learning and Development Ltd. Fourth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2011), Koblenz, Germany

        This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

        Fourth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2011)
        Koblenz, Germany
        31 August 2011
        Electronic Workshops in Computing (eWiC)
        Future Directions in Information Access (FDIA 2011)
        Product Information: 1477-9358 BCS Learning & Development
        Self URI (journal page):
        Electronic Workshops in Computing


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