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    Semantics-preserving optimisation of mapping multi-column key constraints for RDB to RDF transformation
    SAGE Publications ; 2020
    In:  Journal of Information Science
    Details
    In: Journal of Information Science, SAGE Publications
    Abstract: The relational database (RDB) to resource description framework (RDF) transformation is a major semantic information extraction method because most web data are managed by RDBs. Existing automatic RDB-to-RDF transformation methods generate RDF data without losing the semantics of original relational data. However, two major problems have been observed during the mapping of multi-column key constraints: repetitive data generation and semantic information loss. In this article, we propose an improved RDB-to-RDF transformation method that ensures mapping without the aforementioned problems. Optimised rules are defined to generate an accurate semantic data structure for a multi-column key constraint and to reduce repetitive constraint data. Experimental results show that the proposed method achieves better accuracy in transforming multi-column key constraints and generates compact semantic results without repetitive data.
    Type of Medium: Online Resource
    ISSN: 0165-5515 , 1741-6485
    URL: Article
    DOI: 10.1177/0165551520920804
    RVK:
    AN 10100
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 439125-1
    detail.hit.zdb_id: 2025062-9
    SSG: 24,1
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