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Querying in the Age of Graph Databases and Knowledge Graphs

2021/06/22 by Marcelo Arenas, Claudio Gutierrez, Arenas, Marcelo +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #cs.AI #cs.DB

paper · pdf · doi:10.48550/arxiv.2106.11456

arxiv created 2021/06/25 · arxiv updated 2021/06/28

Abstract

Graphs have become the best way we know of representing knowledge. The computing community has investigated and developed the support for managing graphs by means of digital technology. Graph databases and knowledge graphs surface as the most successful solutions to this program. The goal of this document is to provide a conceptual map of the data management tasks underlying these developments, paying particular attention to data models and query languages for graphs.

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