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Nigeria Google Taiwan AtomSpace The OpenCog AtomSpace is a knowledge representation (KR) database and the associated query/reasoning engine to fetch and manipulate that data, and perform reasoning on it. Data is represented in the form of graphs, and more generally, as hypergraphs; thus the AtomSpace is a kind of graph database, the query engine is a general graph re-writing system, and the rule-engine is a generalized rule-driven inferencing system. The vertices and edges of a graph, known as Atoms, are used to represent not only "data", but also "procedures"; thus, many graphs are executable programs as well as data structures. Overview There are pre-defined Atoms for many basic knowledge-representation and computer-science concepts. The use of the AtomSpace, and the operation and utility of Atomese, remains a topic of ongoing research and change, as various dependent subsystems are brought online. As a database Uniqueness of Atoms. Hypergraph Database Design Requirements Perform queries as fast as possible. Handles

YouTube Converter - Ecuador Google Indonesie RelEx Dependency Relationship Extractor RelEx, a narrow-AI component of OpenCog, is an English-language semantic dependency relationship extractor, built on the Carnegie-Mellon Link Grammar parser. It uses a series of graph rewriting rules to identify subject, object, indirect object and many other syntactic dependency relationships between words in a sentence. That is, it generates the dependency trees of a dependency grammar. Unlike other dependency parsers, RelEx attempts a greater degree of semantic normalization: for questions, comparatives, entities, and for prepositional relationships, whereas other parsers (such as the Stanford parser) stick to a literal presentation of the syntactic structure of text. Relex also includes a basic implementation of the Hobbs anaphora (pronoun) resolution algorithm. RelEx is a part of OpenCog, an open-source artificial general intelligence project. Overview Perhaps the easiest way to get a flavor of RelEx is to show its output. RelEx Based Language Generation Relations and Features


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