Frequent Itemset Mining and Multi-Layer Network-Based Analysis of RDF Databases

• Published in: Mathematics (Basel) Vol. 9; no. 4; p. 450
• Main Authors: Honti, Gergely, Abonyi, János
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2021
• Subjects: Asimov, Isaac (1920-1992); Climate change; Data mining; Datasets; DataToKnowledgeToNetwork; Geomorphology; Knowledge; Knowledge representation; Linked Data; Meteorology; Methods; multi-layer network; Multilayers; Object recognition; Oceanography; Ontology; Open data; Ratings & rankings; RDF store; Resource Description Framework-RDF; Semantic web; Semantics; Sustainability

Triplestores or resource description framework (RDF) stores are purpose-built databases used to organise, store and share data with context. Knowledge extraction from a large amount of interconnected data requires effective tools and methods to address the complexity and the underlying structure of...