Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1567
Título: Ontologies for reusing data cleaning knowledge
Autor: Almeida, Ricardo
Oliveira, Paulo
Braga, Luís
Barroso, João
Palavras-chave: Data cleaning
Data quality
Data: 2012
Editora: IEEE
Resumo: The emergence of new business models, namely, the establishment of partnerships between organizations, the chance that companies have of adding existing data on the web, especially in the semantic web, to their information, led to the emphasis on some problems existing in databases, particularly related to data quality. Poor data can result in loss of competitiveness of the organizations holding these data, and may even lead to their disappearance, since many of their decision-making processes are based on these data. For this reason, data cleaning is essential. Current approaches to solve these problems are closely linked to database schemas and specific domains. In order that data cleaning can be used in different repositories, it is necessary for computer systems to understand these data, i.e., an associated semantic is needed. The solution presented in this paper includes the use of ontologies: (i) for the specification of data cleaning operations and, (ii) as a way of solving the semantic heterogeneity problems of data stored in different sources. With data cleaning operations defined at a conceptual level and existing mappings between domain ontologies and an ontology that results from a database, they may be instantiated and proposed to the expert/specialist to be executed over that database, thus enabling their interoperability.
Peer review: yes
URI: http://hdl.handle.net/10400.22/1567
ISBN: 978-1-4673-4433-3
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6337110
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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