Results 41 to 50 of about 131,872 (295)
Outlier Recognition via Linguistic Aggregation of Graph Databases
Applied Sciences, 2021 Datasets frequently contain uncertain data that, if not interpreted with care, may affect information analysis negatively. Such rare, strange, or imperfect data, here called “outliers” or “exceptions” can be ignored in further processing or, on the other
Adam Niewiadomski +2 more
doaj +1 more source
Inference of Shape Graphs for Graph Databases.
, 2022 We investigate the problem of constructing a shape graph that describes the structure of a given graph database. We employ the framework of grammatical inference, where the objective is to find an inference algorithm that is both sound, i.e., always producing a schema that validates the input graph, and complete, i.e., able to produce any schema ...
Groz, Benoît +3 more
openaire +3 more sources
A graph database for persistent identifiers [PDF]
, 2019 The Handle Software manages references to resources of information. However, it does not support a search functionality. A prior implementation with Elasticsearch could not efficiently capture the complex structure of our dataset, especially the relationships between handles.
Doan, Triet +5 more
openaire +3 more sources
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data [PDF]
, 2009 Tran DT, Wang H, Rudolph S, Cimiano P. Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data. In: Ioannidis YE, Lee DL, Ng RT, eds.
Wang, Haofen +10 more
core +2 more sources
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
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
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
doaj +1 more source
GRAPH DATABASE MANAGEMENT SYSTEMS AND GRAPH THEORY [PDF]
Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture, 2020 In recent years, graph databases have become far more important. They have been proven to be an excellent choice for storing and managing large amounts of interconnected data. Since graph databases (GDB) rely on a graph data model based on graph theory, this study examines whether currently available graph database management systems support the ...
Kornelije Rabuzin +2 more
openaire +1 more source
Striving for Semantic Convergence with Fuzzy Cognitive Maps and Graph Databases [PDF]
, 2017 The exponentially rising amounts of urban data demand new conceptual and technical methods for their management and storage. The era of the Semantic Web requires a convergence toward commonly shared meanings.
Edy Portmann +7 more
core +1 more source