DB-Engines - Faz avaliação de DBMS com base em vários critérios como menções em fóruns de usuários, ofertas de emprego, frequência de busca no Google, etc ... (Vide metodologia -> https://db-engines.com/en/ranking_definition) https://db-engines.com/en/ranking/graph+dbms https://db-engines.com/en/ranking/rdf+store G2 - Faz avaliação de diversas categorias de softwares e serviços de TI. Comunidade de revisores. https://www.g2.com/categories/database-software https://www.g2.com/categories/graph-databases https://www.g2.com/categories/rdf-databases Uma lista de certificações para Banco de Dados NoSQL https://data-xtractor.com/blog/databases/all-nosql-certifications-in-2021/
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DisponÃvel online em http://networksciencebook.com/ CapÃtulo 2 Exemplos de datasets de redes reais The basic characteristics of ten networks used throughout this book to illustrate the tools of network science. The table lists the nature of their nodes and links, indicating if links are directed or undirected, the number of nodes ( N ) and links ( L ), and the average degree for each network. For directed networks the average degree shown is the average in- or out-degrees ‹ k › = ‹ k in ›=‹ k out › (see Equation (2.5)). In a complete graph each node is connected to every other node. A complete graph is often called a clique , a term frequently used in community identification. Sparseness has important consequences on the way we explore and store real networks. For example, when we store a large network in our computer, it is better to store only the list of links (i.e. elements for which A ij ≠ 0), rather than the full adjacency matrix, as an overwhelming fraction of th
https://kgtk.readthedocs.io/en/latest/ KGTK represents KGs using TSV files with 4 columns labeled id, node1, label and node2. The id column is a symbol representing an identifier of an edge, corresponding to the orange circles in the diagram above. node1 represents the source of the edge, node2 represents the destination of the edge, and label represents the relation between node1 and node2. >> Quad do RDF, definir cada tripla como um grafo KGTK defines knowledge graphs (or more generally any attributed graph or hypergraph ) as a set of nodes and a set of edges between those nodes. KGTK represents everything of meaning via an edge. Edges themselves can be attributed by having edges asserted about them, thus, KGTK can in fact represent arbitrary hypergraphs. KGTK intentionally does not distinguish attributes or qualifiers on nodes and edges from full-fledged edges, tools operating on KGTK graphs can instead interpret edges differently if they so desire. In KGTK, every