Data growth has led to the need to apply new ways to process data. Graph databases are increasing their use, which can be seen over the years, with the Neo4j system being the most common. The biggest problem is the small number of implemented constraints that can be used.
Cerjan, Maja +2 more
openaire +2 more sources
Neo4j graph database realizes efficient storage performance of oilfield ontology. [PDF]
The integration of oilfield multidisciplinary ontology is increasingly important for the growth of the Semantic Web. However, current methods encounter performance bottlenecks either in storing data and searching for information when processing large ...
Faming Gong +5 more
doaj +3 more sources
Knowledge graph for traditional Chinese medicine diagnosis and treatment of diabetic retinopathy: design, construction, and applications. [PDF]
AIM: To develop a traditional Chinese medicine (TCM) knowledge graph (KG) for diabetic retinopathy (DR) diagnosis and treatment by integrating literature and medical records, thereby enhancing TCM knowledge accessibility and providing innovative ...
Xiao L +5 more
europepmc +2 more sources
Literature review about Neo4j graph database as a feasible alternative for replacing RDBMS
Neo4 is a NoSQL graph database that has been emerging in the fields of social networks and web applications with high concurrency. The characteristics of supporting technological transactions and a high scalability have been attracting the attention of ...
Félix Melchor Santos López +1 more
doaj +3 more sources
Метод GRAPHMIGR8 міграції реляційних даних у графову модель NEO4J
У сучасному світі оброблення інформації все більшої актуальності набувають графові бази даних, що дають змогу ефективно моделювати та обробляти складні взаємозв’язки між сутностями предметних галузей.
Dmytro Mykhnevych +2 more
doaj +6 more sources
neo4jsbml: import systems biology markup language data into the graph database Neo4j. [PDF]
Systems Biology Markup Language (SBML) has emerged as a standard for representing biological models, facilitating model sharing and interoperability.
Gricourt G +3 more
europepmc +3 more sources
Graph Databases and Cheminformatics - Neo4j
The applications of graphs in cheminformatics are numerous. From modeling molecules themselves to reaction networks, to ring system indicies, and even scientific paper authorship relationships, graphs are <strong> the way </strong> most problems get framed.
Richard L. Apodaca
openaire +2 more sources
Outcome Analysis Using Neo4j Graph Database
Databases are an integral part of a computing system and users heavily rely on the services they provide. When interact with a computing system, we expect that data be stored for future use, that the data is able to be looked up fastly, and we can perform complex queries against the data stored in the database.
Mary Femy P.F +2 more
openaire +2 more sources
Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models. [PDF]
This preliminary study covers the construction and application of a Graph-based Retrieval-Augmented Generation (GraphRAG) system integrating a multimodal LLM, Large Language and Vision Assistant (LLaVA) with graph database software (Neo4j) to enhance LLM
Roll DS, Kurt Z, Li Y, Woo WL.
europepmc +2 more sources
Prediction of Diabetic Macular Edema Using Knowledge Graph
Diabetic macular edema (DME) is a significant complication of diabetes that impacts the eye and is a primary contributor to vision loss in individuals with diabetes.
Zhi-Qing Li +6 more
doaj +1 more source

