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Semantic network

Artificial Intelligence  Semantic analysis  Semantics

Semantic Networks
A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs.


Semantic Networks
A semantic network is method of encoding a hierarchy of knowledge (i.e., an ontology) as a directed graph structure of nodes and arcs between nodes representing concepts and relationships between concepts.

Semantic Network
A semantic network is the most basic structure upon which an identification tree (hereafter referred to as an ID tree) is based. Simply put, a semantic network consists of nodes representing objects and links representing any relations between these objects.

Semantic networks and frames
Both methodologies- semantic network and frames-can be thought as the precursors of the actual high-level programming languages, such as C++ or Java, which are fundamentally object-oriented languages.

Semantic Network. A method of representing structured knowledge. It consists of nodes and links, where the nodes are concepts or entities and the links represent relationships and associations among the concepts.

~s: However, when we need to describe more details, such as the relations between an object's parts, it may be better to use the kinds of 'semantic networks' we saw in §4-6 to represent a person's self-model, and in §5-8 to represent the structure of a physical book.

~ a representation of meaning based on a network of nodes that represent objects and labeled arcs between nodes that represent relations between the objects denoted by the nodes.
semantics the study of how statements in a language denote meanings.

4.2 ~s
I'm sure many of you will have drawn diagrams in order to clarify your thoughts in some way. These may have represented causal information such as:
and relationships between ideas: ...

~ allows a common form of inference known as inverse links. For example we can have a HasSister link which is the inverse of SisterOf link.The inverse links make the job of inference algorithms much easier to answer queries such as who the sister of Jack is.

. ~s as Abstract Data Types, Doctors Thesis, Technical Report 86-19, Department of Computer Science, State University of New York at Buffalo, Set. 1986 (Morgado, E.M.) [3]
. Meta-Knowledge, -Rules and -Reasoning, Encyclopedia of Artificial Intelligence, S.C. Shapiro (ed.), p.

~ - A knowledge representation method consisting of a network of nodes, representing concepts or objects, connected by arcs describing the relations between the nodes.
Semantics - The meaning in language. The relationship between words and sentences.

^ a b Representing categories and relations: Semantic networks, description logics, inheritance, including frames and scripts): Russell & Norvig 2003, pp. 349-354, Poole, Mackworth & Goebel 1998, pp. 174-177, Luger & Stubblefield 2004, pp. 248-258, Nilsson 1998, chpt. 18.3 ...

model-based diagnosis, belief networks, semantic networks, heuristic search, constraint satisfaction)?
How well does it perform? (According to the authors or to an independent review? How does it compare to humans? How do the authors know how well it works?) ...

~s (SN): They are the best of both declarative and procedural schemes. An SN is a directed labeled graph with nodes (concepts/entities) and arcs (relationships). There are inheritance and propositional SNs.

a logically-based language capable of both syntactic and semantic representation of time, events, actions, processes, and entities. Knowledge representation languages include Lisp, Prolog, Smalltalk, OPS-5, and KL-ONE. Structures include rules, scripts, frames, endorsements, and semantic networks.

See also: See also: What is the meaning of Knowledge, System, Networks, Information, Artificial intelligence?

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