Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)

Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)
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数据管理原理的研究方向(Dagstuhl Perspectives Workshop 16151)

DOI:
10.4230/dagman.7.1.1
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发表时间:
2017
期刊:
Dagstuhl Manifestos
影响因子:
--
通讯作者:
K. Yi
K. Yi
中科院分区:
--
文献类型:
--
作者:
S. Abiteboul;M. Arenas;P. Barceló;Meghyn Bienvenu;Diego Calvanese;C. David;R. Hull;Eyke Hüllermeier;B. Kimelfeld;L. Libkin;W. Martens;Tova Milo;Filip Murlak;F. Neven;Magdalena Ortiz;T. Schwentick;Julia Stoyanovich;Jianwen Su;Dan Suciu;V. Vianu;K. Yi

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数据管理原则(PDM)领域对开发正式的理解和管理框架做出了重要贡献 数据和知识。这项工作涉及到丰富的异花授粉 数学和计算机科学中的其他学科,包括逻辑、复杂性理论和知识表示。我们预计,随着涉及数据管理的技术和应用程序的不断增长和发展,对产品数据管理的研究将不断扩大。尤其值得一提的是,大数据分析的生命周期提出了大量的挑战领域,而PDM可以提供帮助。 在这份报告中,我们确定了一些最重要的研究方向,在这些方向上,PDM社区有可能做出重大贡献。这是从三个角度进行的:潜在的实际意义、已经取得的成果以及似乎在短期和中期内可以克服的研究问题。
The area of Principles of Data Management (PDM) has made crucial contributions to the development of formal frameworks for understanding and managing data and knowledge. This work has involved a rich cross-fertilization between PDM and other disciplines in mathematics and computer science, including logic, complexity theory, and knowledge representation. We anticipate on-going expansion of PDM research as the technology and applications involving data management continue to grow and evolve. In particular, the lifecycle of Big Data Analytics raises a wealth of challenge areas that PDM can help with. In this report we identify some of the most important research directions where the PDM community has the potential to make significant contributions. This is done from three perspectives: potential practical relevance, results already obtained, and research questions that appear surmountable in the short and medium term.
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