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Titlebook: Conceptual Modeling; 38th International C Alberto H. F. Laender,Barbara Pernici,José Palazzo Conference proceedings 2019 Springer Nature Sw

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发表于 2025-3-21 19:19:09 | 显示全部楼层 |阅读模式
书目名称Conceptual Modeling
副标题38th International C
编辑Alberto H. F. Laender,Barbara Pernici,José Palazzo
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Conceptual Modeling; 38th International C Alberto H. F. Laender,Barbara Pernici,José Palazzo Conference proceedings 2019 Springer Nature Sw
描述This book constitutes the refereed proceedings of the 38th International Conference on Conceptual Modeling, ER 2019, held in Salvador, Brazil, in November 2019..The 22 full and 22 short papers presented together with 4 keynotes were carefully reviewed and selected from 142 submissions..This events covers a wide range of topics, covered in the following sessions: conceptual modeling, big data technology I, process modeling and analysis, query approaches, big data technology II, domain specific models I, domain specific models II, decision making, complex systems modeling, model unification, big data technology III, and requirements modeling..
出版日期Conference proceedings 2019
关键词artificial intelligence; big data; Business Process Management (BPM); cloud computing; conceptual modeli
版次1
doihttps://doi.org/10.1007/978-3-030-33223-5
isbn_softcover978-3-030-33222-8
isbn_ebook978-3-030-33223-5Series 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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https://doi.org/10.1007/978-3-662-47412-9dipitous search as a strategy to diversify answers. Finally, it briefly presents the entity relatedness problem, which refers to the problem of exploring an RDF dataset to discover and understand how two entities are connected.
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Toward Behavioral Transaction Cost Economicsrojects. However, to our knowledge, no axiomatization demonstrating the existential commitments of a language have been presented, nor is there effort to adopt a consensual conceptualization between languages, in particular object-oriented ones. In this paper, we propose OOC-O, a reference ontology
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https://doi.org/10.1007/978-981-99-9647-6has inspired automated tuning advisors which profile the query workload and produce tuning setups for the low-level MapReduce jobs. Yet with highly dynamic query workloads, repeated re-tuning costs time and money in IaaS environments. In this paper, we focus on reducing the costs for up-front tuning
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Non-line-of-sight Collision Warning System query answering. In this paper, we develop an intuitive graph data model for dynamic taxi ride sharing. We argue that our proposed data model meets the data needs imposed by three fundamental tasks associated with taxi ride sharing. An experiment consisting of a taxi ride sharing simulation with re
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