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Titlebook: Querying Graphs; Angela Bonifati,George Fletcher,Nikolay Yakovets Book 2018 Springer Nature Switzerland AG 2018

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發(fā)表于 2025-3-21 18:41:59 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Querying Graphs
編輯Angela Bonifati,George Fletcher,Nikolay Yakovets
視頻videohttp://file.papertrans.cn/782/781803/781803.mp4
叢書名稱Synthesis Lectures on Data Management
圖書封面Titlebook: Querying Graphs;  Angela Bonifati,George Fletcher,Nikolay Yakovets Book 2018 Springer Nature Switzerland AG 2018
描述.Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity. In this book, we present a concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To that purpose, we present all major concepts relevant to this life cycle, formulated in terms of a common and unifying ground: the property graph data model—the pre-dominant data model adopted by modern graph database systems...We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicatingmajor open research challenges towards the next generation of graph data management systems..
出版日期Book 2018
版次1
doihttps://doi.org/10.1007/978-3-031-01864-0
isbn_softcover978-3-031-00736-1
isbn_ebook978-3-031-01864-0Series ISSN 2153-5418 Series E-ISSN 2153-5426
issn_series 2153-5418
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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發(fā)表于 2025-3-21 22:45:32 | 只看該作者
Querying Graphs978-3-031-01864-0Series ISSN 2153-5418 Series E-ISSN 2153-5426
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發(fā)表于 2025-3-22 04:15:12 | 只看該作者
Query Specification,loration. This problem amounts to learning queries from examples and reverse-engineering queries starting from examples that users want or do not want. The complexity of these problems has been studied in-depth and practical implementations have appeared already to witness an increasing interest of the community toward these approaches.
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Research Challenges,Throughout the book we have highlighted open research challenges. In this final chapter we collect and consolidate these challenges, providing an overview of what we see as important open problems for the graph query processing research community, toward a shared research agenda for next-generation graph database systems.
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Query Languages,and (unions of) conjunctions of navigational queries. Our approach is then to give a presentation of major graph query language functionalities as restrictions or extensions of the recently proposed Regular Queries, a computationally well-behaved yet expressive fragment of Datalog for querying graph
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