Search results
Results from the WOW.Com Content Network
Knowledge representation and reasoning (KRR, KR&R, or KR²) is a field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks, such as diagnosing a medical condition or having a natural-language dialog.
KL-ONE (pronounced "kay ell won") is a knowledge representation system in the tradition of semantic networks and frames; that is, it is a frame language. The system is an attempt to overcome semantic indistinctness in semantic network representations and to explicitly represent conceptual information as a structured inheritance network. [1] [2] [3]
Class (knowledge representation) Closed-world assumption; Cognitive categorization; Cognitive map; Colon classification; Completeness (knowledge bases) Composite Capability/Preference Profiles; Composite portrait; Computer Science Ontology; Concept map; Concepticon; Conceptual graph; Conceptualization (information science) Consistency ...
Other approaches include the use of automated theorem proving, logic programming, blackboard systems, and term rewriting systems such as Constraint Handling Rules (CHR). These more formal approaches are covered in detail in the Wikipedia article on knowledge representation and reasoning.
A concept model (a model of a concept) is quite different because in order to be a good model it need not have this real world correspondence. [3] In artificial intelligence, conceptual models and conceptual graphs are used for building expert systems and knowledge-based systems ; here the analysts are concerned to represent expert opinion on ...
All the different knowledge graph embedding models follow roughly the same procedure to learn the semantic meaning of the facts. [7] First of all, to learn an embedded representation of a knowledge graph, the embedding vectors of the entities and relations are initialized to random values. [7]
A concept map or conceptual diagram is a diagram that depicts suggested relationships between concepts. [1] Concept maps may be used by instructional designers, engineers, technical writers, and others to organize and structure knowledge.
These terms (netnography, digital ethnography, and digital anthropology) are often used interchangeably, but they are very different. The difference between netnography and digital ethnography could be seen in several ways, but the most obvious one is the research motivation and methodology determined by the purpose.