Results 61 to 70 of about 3,133 (215)
New Phytologist, EarlyView.GENIAL framework. Summary of the main steps of the framework to infer and analyze GRN. Summary Tomato (Solanum lycopersicum), despite being the most important vegetable crop world‐wide, remains vulnerable to over 200 diseases caused by different pests.
Maxime Multari +12 more
wiley +1 more source
Wykorzystanie grafowej bazy danych Neo4j do analizy sieci społecznych [PDF]
, 2012 This article describes how Neo4j database capabilities can be utilized to implement measures often used in social network analysis. It gives a brief overview of the concept of Neo4j graph database.
Warchał, Łukasz
core +1 more source
Transforming the CIDOC-CRM Model Into a Megalithic Monument Property Graph
Journal of Computer Applications in ArchaeologyThis paper presents a method to store information about megalithic monument-building components as graph nodes in a knowledge graph (KG). As a case study, we analyse the dolmens from the region of Pavia (Portugal).
Ariele Câmara +2 more
doaj +1 more source
Proteome Analysis of Corynebacterium diphtheriae–Macrophage Interaction
PROTEOMICS, Volume 26, Issue 8, Page 9-28, August 2026.ABSTRACT Contact of Corynebacterium diphtheriae with macrophages induces adaptations on both bacterial and cellular sides. The study presented here was aiming to shed light on the simultaneous intracellular adaptation of the bacteria and changes in the proteome of the phagocytes in response to the internalization of C. diphtheriae.
Luca Musella +6 more
wiley +1 more source
Literature review about Neo4j graph database as a feasible alternative for replacing RDBMS
Industrial Data, 2015 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 +1 more source
The metadata ecosystem and AI: Enabling FAIR and AI‐ready data
AI Magazine, Volume 47, Issue 2, Summer 2026.Abstract Reproducibility is a foundational tenet of science. As artificial intelligence (AI) becomes increasingly embedded across science, the need to accurately document the provenance, structure, and behavior of training data, models, and workflows grows correspondingly. Metadata, understood as explicit and structured knowledge about data and related
Jane Greenberg +5 more
wiley +1 more source
Part of the alpine skiing event KG (Neo4j visualization tool). [PDF]
, 2022 Part of the alpine skiing event KG (Neo4j visualization tool).
Hanhua Qu (13840235) +5 more
core +1 more source
SPARQLing Neo4J (Short Paper).
, 2020 The growth experienced by the internet in the past few years as lead to an increased amount of available data and knowledge obtained from said data. However most of this knowledge is lost due to the lack of associated semantics making the task of interpreting data very hard to computers.
Ezequiel José Veloso Ferreira Moreira +1 more
openaire +3 more sources
AI Magazine, Volume 47, Issue 2, Summer 2026.Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley +1 more source
The knowledge graph of Volvo Cars Logistics [PDF]
, 2023 reservedThe automotive industry relies heavily on efficient supply chain and logistics operations to ensure timely delivery of components, reduce costs, and meet customer demands.
SOLEYMANI, ELHAM
core