Titlebook: Database and Expert Systems Applications; 26th International C Qiming Chen,Abdelkader Hameurlain,Hendrik Decker Conference proceedings 2015

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Communications and Control Engineering data. Despite the importance of data quality for the successful growth of the LOD, only limited attention has been focused on quality of data prior to their publication on the LOD. This paper focuses on the systematic assessment of the quality of datasets prior to publication on the LOD cloud. To t

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https://doi.org/10.1007/978-3-030-04972-0owever, optimizing write operations in the column-store database is one of the well-known challenges. Most existing works on write performance optimization focus on main-memory column-store databases. In this work, we investigate optimizing write operation (update and deletion) on out-of-core (OOC,

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https://doi.org/10.1007/978-3-319-74265-6articular, much attention is being paid on the integration of unstructured big data typically stored in HDFS with relational data. One main solution is to use a relational query engine that allows SQL-like queries to retrieve data from HDFS, which requires the system to provide a relational view of

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263502.jpg

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Instructional Strategies and Processes a knowledge base. Our results show that (i) the choice of entity context that is used to attain the best disambiguation results strongly depends on the amount of available user data, (ii) disambiguation results with large-scale and heterogeneous knowledge bases strongly depend on the entity context