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A Pattern Mining Method for Teaching Practices
Future Internet, 2021 When integrating digital technology into teaching, many teachers experience similar challenges. Nevertheless, sharing experiences is difficult as it is usually not possible to transfer teaching scenarios directly from one subject to another because ...
Bernhard Standl +1 more
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, 2003 RDF is the first W3C standard for enriching information resources of the Web with detailed meta data. The semantics of RDF data is defined using a RDF schema. The most expressive language for querying RDF is RQL, which enables querying of semantics.
Bönström, Valerie +2 more
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Constructing Crop Portraits Based on Graph Databases Is Essential to Agricultural Data Mining
Information, 2021 Neo4j is a graph database that can use not only data, but also data relationships. Crop portraits, a kind of property graph, model the crop entity in the real world based on data to realize the networked management of crop knowledge.
Yue-Xin Shi +4 more
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Which Category Is Better: Benchmarking Relational and Graph Database Management Systems
Data Science and Engineering, 2019 Over decades, relational database management systems (RDBMSs) have been the first choice to manage data. Recently, due to the variety properties of big data, graph database management systems (GDBMSs) have emerged as an important complement to RDBMSs. As
Yijian Cheng +4 more
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A Graph Rewriting Approach for Transformational Design of Digital Systems [PDF]
, 1996 Transformational design integrates design and verification. It combines “correctness by construction” and design creativity by the use of pre-proven behaviour preserving transformations as design steps.
Huijs, Corrie
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A Graph Database of Aegean Seals with Uncertain Attributes
Zeitschrift für digitale Geisteswissenschaften, 2019 To facilitate the application of network analysis for the study of multi-sided Aegean seals, a graph database was implemented in Neo4j.
Martina Trognitz
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Structural Data Recognition with Graph Model Boosting [PDF]
, 2017 This paper presents a novel method for structural data recognition using a large number of graph models. In general, prevalent methods for structural data recognition have two shortcomings: 1) Only a single model is used to capture structural variation ...
Miyazaki, Tomo, Omachi, Shinichiro
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Working with Legacy Relational Data in A Graph-Based World
International Journal of Population Data Science, 2020 The Next Generation Linkage Management System (NGLMS) was designed around keeping all data in a graph database. However, this constraint, while easily achievable for greenfield projects and/or new data linkage units, may not be easily met where legacy ...
James Farrow
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Processes and events in the centre: a dynamic data model for representing spatial change
International Journal of Digital Earth, 2022 Traditional geographic information system models for map representation use superposition of layers to model physical reality, neglecting the integrity of the environment and limiting the ability to express interactions between features in complex ...
Yufeng He +4 more
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EPJ Web of Conferences, 2020 Data in High Energy Physics (HEP) usually consist of complext complex data structures stored in relational databases and files with internal schema. Such architecture exhibits many shortcomings, which could be fixed by migrating into Graph Database storage. The paper describes basic principles of the Graph Database together with an overview of existing
openaire +3 more sources