Academic literature on the topic 'RDB2RDF mapping'

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Journal articles on the topic "RDB2RDF mapping"

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Chen, Ying, Zhuoming Xu, Yuyan Ni, Guangxu Cao, and Shiqing Zhang. "A RIF Based Mapping of RDB2RDF." International Journal of Database Theory and Application 7, no. 6 (2014): 29–44. http://dx.doi.org/10.14257/ijdta.2014.7.6.04.

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Jun, Hee-Gook, and Dong-Hyuk Im. "Semantics-Preserving RDB2RDF Data Transformation Using Hierarchical Direct Mapping." Applied Sciences 10, no. 20 (2020): 7070. http://dx.doi.org/10.3390/app10207070.

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Direct mapping is an automatic transformation method used to generate resource description framework (RDF) data from relational data. In the field of direct mapping, semantics preservation is critical to ensure that the mapping method outputs RDF data without information loss or incorrect semantic data generation. However, existing direct-mapping methods have problems that prevent semantics preservation in specific cases. For this reason, a mapping method is developed to perform a semantics-preserving transformation of relational databases (RDB) into RDF data without semantic information loss
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Ri Kim, Ju, Zhanfang Zhao, and Sung Kook Han. "Sparql query processing in relational databases." International Journal of Engineering & Technology 7, no. 3.3 (2018): 84. http://dx.doi.org/10.14419/ijet.v7i2.33.13860.

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Background/Objectives: The mapping RDB to RDF has become important to populate Linked Data more efficiently. This paper shows how to implement SPARQL endpoint in RDB using a conceptual level mapping approach.Methods/Statistical analysis: Many diverse approaches and related languages for mapping RDB to RDF have been proposed. The prominent achievements of mapping RDB to RDF are two standard draft Direct Mapping and R2RML proposed by W3C RDB2RDF Working Group. This paper analyzes these conventional mapping approaches and proposes a new approach based on schema mapping. The paper also presents SP
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Dissertations / Theses on the topic "RDB2RDF mapping"

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Taki, Sara. "Anonymisation de données liées en utilisant la confidentialité différentielle." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0009.

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Cette thèse étudie le problème de la protection de la vie privée dans le LinkedOpen Data (ou « LOD », en français « web des données ouvertes » ou encore « donnéesliées ouvertes »). Ce travail se situe à l’intersection d’une longue série de travaux sur laconfidentialité des données et le LOD. Notre objectif est d’étudier l’impact des aspectssémantiques sur la publication des données et sur les fuites éventuelles d’information.Nous considérons RDF comme le format de représentation du LOD et la confidentialitédifférentielle (DP) comme le principal critère de protection de la vie privée. La DP a é
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Westphal, Patrick. "Quality Assurance of RDB2RDF Mappings." 2014. https://ul.qucosa.de/id/qucosa%3A17242.

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Today, the Web of Data evolved to a semantic information network containing large amounts of data. Since such data may stem from different sources, ranging from automatic extraction processes to extensively curated knowledge bases, its quality also varies. Thus, currently research efforts are made to find methodologies and approaches to measure the data quality in the Web of Data. Besides the option to consider the actual data in a quality assessment, taking the process of data generation into account is another possibility, especially for extracted data. An extraction approach that gained pop
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