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Artificial intelligence and Semantic network

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial intelligence and Semantic network

Artificial intelligence vs. Semantic network

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network.

Similarities between Artificial intelligence and Semantic network

Artificial intelligence and Semantic network have 9 things in common (in Unionpedia): First-order logic, Google, Knowledge engineering, Knowledge representation and reasoning, Machine translation, Natural language processing, Ontology (information science), Semantics, Word-sense disambiguation.

First-order logic

First-order logic—also known as first-order predicate calculus and predicate logic—is a collection of formal systems used in mathematics, philosophy, linguistics, and computer science.

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Google

Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware.

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Knowledge engineering

Knowledge engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems.

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Knowledge representation and reasoning

Knowledge representation and reasoning (KR, KR², KR&R) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language.

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Machine translation

Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation (MAHT) or interactive translation) is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.

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Natural language processing

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

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Ontology (information science)

In computer science and information science, an ontology encompasses a representation, formal naming, and definition of the categories, properties, and relations of the concepts, data, and entities that substantiate one, many, or all domains.

Artificial intelligence and Ontology (information science) · Ontology (information science) and Semantic network · See more »

Semantics

Semantics (from σημαντικός sēmantikós, "significant") is the linguistic and philosophical study of meaning, in language, programming languages, formal logics, and semiotics.

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Word-sense disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology.

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The list above answers the following questions

Artificial intelligence and Semantic network Comparison

Artificial intelligence has 543 relations, while Semantic network has 82. As they have in common 9, the Jaccard index is 1.44% = 9 / (543 + 82).

References

This article shows the relationship between Artificial intelligence and Semantic network. To access each article from which the information was extracted, please visit:

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