Results 281 to 290 of about 3,576,657 (341)
Some of the next articles are maybe not open access.
Designing Graph Databases With GRAPHED
Journal of Database Management, 2019In recent years, graph database systems have become very popular and been deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency.
Gustavo Cordeiro Galvão Van Erven +5 more
openaire +1 more source
UniKG: A Unified Interoperable Knowledge Graph Database System
IEEE International Conference on Data Engineering, 2021Knowledge graph currently has two main data models: RDF graph and property graph. The query language on RDF graph is SPARQL, while the query language on property graph is mainly Cypher.
Baozhu Liu +5 more
semanticscholar +1 more source
Graph Matching in Graph-Oriented Databases
2021Modern graph database management systems use graph structures for semantic queries with nodes, edges, and properties to connect to and store information. Due to their schema-less nature, inappropriate data migration and manipulation can lead to severe data loss during the data query process.
Soumaya Boukettaya +2 more
openaire +1 more source
A novel deep learning method for query task execution time prediction in graph database
Future generations computer systems, 2020The execution time prediction for query tasks in graph database has become difficult and challenging due to the complexity of query plan and system.
Zheng Chu, Jiong Yu, Askar Hamdulla
semanticscholar +1 more source
Issues and Concepts of Graph Database and a Comparative Analysis on list of Graph Database tools
International Conference on Computational Collective Intelligence, 2020The work is review in nature and focuses on basic concepts and example on Graph Database with a special focus on list of standard computerized tools available for handling the queries using graph database structure.
Anupam Das +3 more
semanticscholar +1 more source
Aster: Enhancing LSM-structures for Scalable Graph Database
Proc. ACM Manag. DataThere is a proliferation of applications requiring the management of large-scale, evolving graphs under workloads with intensive graph updates and lookups.
Dingheng Mo +3 more
semanticscholar +1 more source
Construction of typhoon disaster knowledge graph based on graph database Neo4j
Chinese Control and Decision Conference, 2020The typhoon knowledge graph can correlate various kinds of information in the typhoon data, conduct overall and related analysis, and finally provide effective assistance for typhoon prevention and post-disaster protection. The data of typhoon landing in
Pengcheng Liu +9 more
semanticscholar +1 more source
2000
Graph data is an emerging model for representing a variety of database contexts ranging from object-oriented databases to hypertext data. Also many of the recursive queries that arise in relational databases are, in practice, graph traversals. In this paper we present a language for searching graph-like databases.
FLESCA, Sergio, GRECO, Sergio
openaire +2 more sources
Graph data is an emerging model for representing a variety of database contexts ranging from object-oriented databases to hypertext data. Also many of the recursive queries that arise in relational databases are, in practice, graph traversals. In this paper we present a language for searching graph-like databases.
FLESCA, Sergio, GRECO, Sergio
openaire +2 more sources
An Attack Path Generation Methods Based on Graph Database
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020With the popularity of network technology and the expansion of network scale, the network security risks are increasingly serious. Network vulnerability assessment methods, a technology of active network security defense, have attracted many researchers.
Bintao Yuan +3 more
semanticscholar +1 more source
Incorruptible Auditing: Blockchain-Powered Graph Database Management
International Conference on Blockchain, 2020In modern and interconnected world, information is accumulatively stored digitally, making the process of exchanging, gathering and querying the information much easier.
Victor Ermolaev +5 more
semanticscholar +1 more source