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

明顯

書目名稱Querying Graphs影響因子(影響力)




書目名稱Querying Graphs影響因子(影響力)學(xué)科排名




書目名稱Querying Graphs網(wǎng)絡(luò)公開度




書目名稱Querying Graphs網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Querying Graphs被引頻次




書目名稱Querying Graphs被引頻次學(xué)科排名




書目名稱Querying Graphs年度引用




書目名稱Querying Graphs年度引用學(xué)科排名




書目名稱Querying Graphs讀者反饋




書目名稱Querying Graphs讀者反饋學(xué)科排名

破譯密碼

Querying Graphs978-3-031-01864-0Series ISSN 2153-5418 Series E-ISSN 2153-5426

tooth-decay

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.

CHART

誘導(dǎo)

OTHER

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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FAWN

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