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Application of graph databases in the communication and information asset management in power grid
Published in Lin Liu, Automotive, Mechanical and Electrical Engineering, 2017
Xuming Lv, Shanqi Zheng, Zhao Li, Siyan Liu, Yue Wang
Neo4j, a graph database management system developed by Neo Technology Inc, is one of the most popular graph databases according to www.db-engines.com. The first version is released in 2010, and the latest version, i.e., the third version is released in 2016. Neo4j supports graph model called “Property graph”, which includes nodes, edged and attribute (i.e., properties). Neo4j is written in Java, and provides APIs which are exposed through a whole range of various languages, e.g. Java, Python, Ruby, JavaScript, PHP, .NET, etc. It is noteworthy that C and C++ are not in the above list. Cypher is a declarative graph query language for the graph database Neo4j, and is roughly equivalent to SQL querying language in relational databases. The database system also implements the Blue-prints interface and a native REST interface to further expand the ways to communicate with the database. Neo4j provides three editions: Community, Enterprise, and Government. Community version is provided for individuals to learn graph databases and conduct smaller projects that do not require high levels of scaling. However, it excludes professional services and support. The Neo4j Enterprise edition offers incredible power and flexibility, with enterprise-grade availability, management and scale-up & scale-out capabilities.
Big Data Computing and Graph Databases
Published in Vivek Kale, Agile Network Businesses, 2017
Neo4j has its own declarative and expressive query language called Cypher, which has pattern-matching capabilities among the nodes and relationships during data mining and data updating. Cypher is extremely useful when it comes to creating, updating, or removing nodes, properties, and relationships in the graph. Simplicity is one of the salient features of Cypher, evolving as humane query language and is designed for not only developers but also for naïve users who can write ad hoc queries.
Web Databases
Published in Akshi Kumar, Web Technology, 2018
Neo4j is designed to find patterns. It scans the database and quickly finds the nodes and relationships that match the pattern queried. Cypher is the query language that Neo4j uses and is designed to answer semantically related queries.
Dependable workflow management system for smart farms
Published in Connection Science, 2022
Catalin Negru, George Musat, Madalin Colezea, Constantin Anghel, Alexandru Dumitrascu, Florin Pop, Carmen De Maio, Aniello Castiglione
A couple of Spring projects are used, like Spring Boot1 for fast generation of the project having already done configurations. It also comes with a built-in web server (Tomcat), the installation of a separate one not being required for starting the application. Spring Security is used for handling the authentication and authorisation in a decoupled way, using aspects. Spring MVC (Model View Controller), as its name suggests, it offers an MVC architecture with already developed components for easy development of web applications. It is built around a servlet – DispatcherServlet – which is responsible for interception and routing of all the HTTP requests. Spring Data Neo4j offers advanced features for mapping between java objects (POJOs) and Neo4j database items (nodes, properties, relationships). It is based on the Neo4j-OGM2 library and it allows the auto-generation of Cypher Graph Query Language (declarative language for efficient querying and updating of graph properties) queries.
Towards data fusion-based big data analytics for intrusion detection
Published in Journal of Information and Telecommunication, 2023
Cypher is the most powerful tool in the hands of any graph database developer when it comes to Neo4j. Cypher is a language for querying graphs and came into existence because the Java API for Neo4j was considered too verbose and that of Gremlin too prescriptive. Cypher was designed to strike the right balance by being declarative and easy for those who come from a SQL background (Ankur, 2021b).