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Least fixed point based logics of graphs extend the first-order logic of graphs by allowing predicates (properties of vertices or tuples of vertices) defined by special fixed-point operators. This kind of definition begins with an implication, a formula stating that when certain values of the predicate are true, then other values are true as well.
In computer science terms, a property graph is a data structure representing entities associated by directed relationships, where the nodes and relations can both include multiple attributes / properties; In terms of graph theory, a property graph is a directed multigraph, whose vertices/nodes represent the entities of the corresponding data ...
First-order logic also satisfies several metalogical theorems that make it amenable to analysis in proof theory, such as the Löwenheim–Skolem theorem and the compactness theorem. First-order logic is the standard for the formalization of mathematics into axioms, and is studied in the foundations of mathematics.
Second-party data" refers to data obtained from other organizations or partners, through purchase or other means and has been described as "another organization's first-party data". [18] [19] "Third-party data" is data collected by other organizations and subsequently aggregated from different sources, websites, and platforms. [18]
A conceptual graph (CG) is a formalism for knowledge representation. In the first published paper on CGs, John F. Sowa used them to represent the conceptual schemas used in database systems. [1] The first book on CGs applied them to a wide range of topics in artificial intelligence, computer science, and cognitive science. [2]
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The tabular representation lends itself well to computational applications. There are different ways to store graphs in a computer system. The data structure used depends on both the graph structure and the algorithm used for manipulating the graph. Theoretically one can distinguish between list and matrix structures but in concrete ...
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