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Titlebook: Database and Expert Systems Applications; 30th International C Sven Hartmann,Josef Küng,Ismail Khalil Conference proceedings 2019 Springer

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发表于 2025-3-21 18:26:40 | 显示全部楼层 |阅读模式
书目名称Database and Expert Systems Applications
副标题30th International C
编辑Sven Hartmann,Josef Küng,Ismail Khalil
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database and Expert Systems Applications; 30th International C Sven Hartmann,Josef Küng,Ismail Khalil Conference proceedings 2019 Springer
描述This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019..The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: ..Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing...Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services..
出版日期Conference proceedings 2019
关键词artificial intelligence; data communication systems; data mining; data security; databases; information r
版次1
doihttps://doi.org/10.1007/978-3-030-27618-8
isbn_softcover978-3-030-27617-1
isbn_ebook978-3-030-27618-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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发表于 2025-3-21 21:22:13 | 显示全部楼层
Contracting Under Incomplete Information study the use of a . for summarizing the completeness and validity of query answers. We describe an implementation and experiments with a real-world dataset to validate the effectiveness and the efficiency of our approach.
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Viewing Contracting Through a Different Lenspproach based on a fragmentation strategy that maps RDF data into multiple NoSQL databases. This workload-aware partitioning scheme provides, in turn, efficient processing of SPARQL queries over these NoSQL databases. Our experimental evaluation shows that the solution is promising, outperforming three recent baselines.
发表于 2025-3-22 06:02:40 | 显示全部楼层
Debts and Pecuniary Obligations real SPARQL query from a given log, . stretches the query with real queries from different logs. To prune the research space, . proposes semantic summary to prune the query logs. Experimental results with real logs of DBpedia and SWDF demonstrate that . is able to prune drastically the logs and recommend plausible federated queries.
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Viewing Contracting Through a Different Lensblems, the paper proposes a novel family of measures, called InfoRank, and a keyword search system, called QUIRA, for RDF graphs. Finally, this paper concludes with experiments showing that the proposed solution improves the quality of results in two keyword search benchmarks.
发表于 2025-3-22 20:48:41 | 显示全部楼层
An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Modelre collected through a systematic literature review. From the results obtained with the experiment, it was observed that the subjects would be more receptive to the guidelines if they were easier to understand and use.
发表于 2025-3-22 21:48:06 | 显示全部楼层
Novel Node Importance Measures to Improve Keyword Search over RDF Graphsblems, the paper proposes a novel family of measures, called InfoRank, and a keyword search system, called QUIRA, for RDF graphs. Finally, this paper concludes with experiments showing that the proposed solution improves the quality of results in two keyword search benchmarks.
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发表于 2025-3-23 08:30:04 | 显示全部楼层
Querying in a Workload-Aware Triplestore Based on NoSQL Databasespproach based on a fragmentation strategy that maps RDF data into multiple NoSQL databases. This workload-aware partitioning scheme provides, in turn, efficient processing of SPARQL queries over these NoSQL databases. Our experimental evaluation shows that the solution is promising, outperforming three recent baselines.
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