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      The Recent Advances in Transdisciplinary Data Science : First Southwest Data Science Conference, SDSC 2022, Waco, TX, USA, March 25–26, 2022, Revised Selected Papers 

      Distributed Query Processing and Reasoning Over Linked Big Data

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          A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

          Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction toward cognition and human-level intelligence. In this survey, we provide a comprehensive review of the knowledge graph covering overall research topics about: 1) knowledge graph representation learning; 2) knowledge acquisition and completion; 3) temporal knowledge graph; and 4) knowledge-aware applications and summarize recent breakthroughs and perspective directions to facilitate future research. We propose a full-view categorization and new taxonomies on these topics. Knowledge graph embedding is organized from four aspects of representation space, scoring function, encoding models, and auxiliary information. For knowledge acquisition, especially knowledge graph completion, embedding methods, path inference, and logical rule reasoning are reviewed. We further explore several emerging topics, including metarelational learning, commonsense reasoning, and temporal knowledge graphs. To facilitate future research on knowledge graphs, we also provide a curated collection of data sets and open-source libraries on different tasks. In the end, we have a thorough outlook on several promising research directions.
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            SPARQLGX: Efficient Distributed Evaluation of SPARQL with Apache Spark

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              A more decentralized vision for Linked Data

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                Author and book information

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                Book Chapter
                2022
                January 29 2023
                : 158-170
                10.1007/978-3-031-23387-6_11
                b44e8185-c925-4faf-817c-f7dc31935795
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