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Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202

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发表于 2025-3-21 19:14:05 | 显示全部楼层 |阅读模式
书目名称Database and Expert Systems Applications
副标题33rd International C
编辑Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202
描述This two-volume set, LNCS 13426 and 13427, constitutes the thoroughly refereed proceedings of the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna in August 2022..The 43 full papers presented together with 20 short papers in these volumes were carefully reviewed and selected from a total of 120 submissions. The papers are organized around the following topics: Big Data Management and Analytics, Consistency, Integrity, Quality of Data, Constraint Modelling and Processing, Database Federation and Integration, Interoperability, Multi-Databases, Data and Information Semantics, Data Integration, Metadata Management, and Interoperability, Data Structures and much more. .
出版日期Conference proceedings 2022
关键词artificial intelligence; communication systems; computer networks; computer science; computer systems; da
版次1
doihttps://doi.org/10.1007/978-3-031-12423-5
isbn_softcover978-3-031-12422-8
isbn_ebook978-3-031-12423-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Automated Process Knowledge Graph Construction from BPMN Modelsems can benefit from knowledge graphs as they contribute towards implementing visions of interconnected, decentralized and flexible smart manufacturing systems. Process knowledge is a key perspective which has so far attracted limited attention in this context, despite its usefulness for capturing t
explicit
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CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graphmising prospects. However, performances of existing knowledge embedding methods are mostly either far from satisfactory, or exhibits weakness for generalization. In this work, a context-aware knowledge embedding model (CAKE) has been proposed for applications like knowledge completion and link predi
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The Digitalization of Bioassays in the Open Research Knowledge Graph graphs. The Open Research Knowledge Graph (ORKG, .) represents an important step in this direction, with thousands of . as structured, fine-grained, machine-readable data. There is a need, however, to engender change in traditional community practices of recording contributions as unstructured, non
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CoK: A Survey of Privacy Challenges in Relation to Data Meshesr shared safely amongst multiple cooperating parties. Data meshes are composed of subsets (or whole sets) of data repositories that are owned by autonomous parties. This raises new challenges in terms of guaranteeing privacy across various data mesh compositions. In this paper, we present a survey o
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Provenance-Based SPARQL Query FormulationQL queries”, namely, queries whose structure resembles SPARQL but are not necessarily grounded to the schema of the underlying Knowledge Base (KB) and require only basic familiarity with SPARQL. This means that the user-intended query over the KB may differ from the specified semi-formal query in it
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