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Querying Graphs [electronic resource] / by Angela Bonifati, George Fletcher, Hannes Voigt, Nikolay Yakovets.

By: Bonifati, Angela [author.].
Contributor(s): Fletcher, George [author.] | Voigt, Hannes [author.] | Yakovets, Nikolay [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Data Management: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XIV, 166 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031018640.Subject(s): Computer networks  | Data structures (Computer science) | Information theory | Computer Communication Networks | Data Structures and Information TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
Contents:
Foreword -- Acknowledgments -- Introduction -- Data Models -- Query Languages -- Constraints -- Query Specification -- Data Structures and Indexes -- Query Processing -- Physical Operators -- Research Challenges -- Bibliography -- Authors' Biographies.
In: Springer Nature eBookSummary: 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.
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Foreword -- Acknowledgments -- Introduction -- Data Models -- Query Languages -- Constraints -- Query Specification -- Data Structures and Indexes -- Query Processing -- Physical Operators -- Research Challenges -- Bibliography -- Authors' Biographies.

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.

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