Results 31 to 40 of about 388,640 (259)
RDF Curator: A Novel Workflow that Generates Semantic Graph from Literature for Curation Using Text Mining [PDF]
, 2010 There exist few databases that enable cross-reference among various research fields related to bioenergy. Cross-reference is highly desired among bioinformatics databases related to environment, energy, and agriculture for better mutual cooperation.
Osamu Gotoh, Yusuke Komiyama
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Querying Best Paths in Graph Databases [PDF]
, 2017 Querying graph databases has recently received much attention. We propose a new approach to this problem, which balances competing goals of expressive power, language clarity and computational complexity.
Michaliszyn, Jakub +2 more
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A Graph Database Representation of Portuguese Criminal-Related Documents
Informatics, 2021 Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources.
Gonçalo Carnaz +2 more
doaj +1 more source
Effectiveness of graph-based and fingerprint-based similarity measures for virtual screening of 2D chemical structure databases [PDF]
, 2002 This paper reports an evaluation of both graph-based and fingerprint-based measures of structural similarity, when used for virtual screening of sets of 2D molecules drawn from the MDDR and ID Alert databases.
Raymond, J.W., Willett, P.
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Incremental View Maintenance for Deductive Graph Databases Using Generalized Discrimination Networks [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 Nowadays, graph databases are employed when relationships between entities are in the scope of database queries to avoid performance-critical join operations of relational databases.
Thomas Beyhl, Holger Giese
doaj +1 more source
Gaining Insights into Conceptual Models: A Graph-Theoretic Querying Approach
Applied Sciences, 2021 Modern complex systems include products and services that comprise many interconnected pieces of integrated hardware and software, which are expected to serve humans interacting with them. As technology advances, expectations of a smooth, flawless system
Danny Medvedev, Uri Shani, Dov Dori
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Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach
Journal of Integrative Bioinformatics, 2018 The speed and accuracy of new scientific discoveries – be it by humans or artificial intelligence – depends on the quality of the underlying data and on the technology to connect, search and share the data efficiently.
Brandizi Marco +3 more
doaj +1 more source
Future Internet, 2023 There has been a great deal of research in the area of using graph engines and graph databases to model network traffic and network attacks, but the novelty of this research lies in visually or graphically representing the Reconnaissance Tactic (TA0043 ...
Sikha S. Bagui +5 more
doaj +1 more source
An introduction to Graph Data Management
, 2017 A graph database is a database where the data structures for the schema and/or instances are modeled as a (labeled)(directed) graph or generalizations of it, and where querying is expressed by graph-oriented operations and type constructors.
A Dries +80 more
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Performance Introspection of Graph Databases [PDF]
, 2013 The explosion of graph data in social and biological networks, recommendation systems, provenance databases, etc. makes graph storage and processing of paramount importance. We present a performance introspection framework for graph databases, PIG, which
Macko, Peter +2 more
core +2 more sources