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- Knowledge_acquisition abstract "Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules, objects, and frame-based ontologies. Expert systems were one of the first successful applications of artificial intelligence technology to real world business problems. Researchers at Stanford and other AI laboratories worked with doctors and other highly skilled experts to develop systems that could automate complex tasks such as medical diagnosis. Until this point computers had mostly been used to automate highly data intensive tasks but not for complex reasoning. Technologies such as inference engines allowed developers for the first time to tackle more complex problems.As expert systems scaled up from demonstration prototypes to industrial strength applications it was soon realized that the acquisition of domain expert knowledge was one of if not the most critical task in the knowledge engineering process. This knowledge acquisition process became an intense area of research on its own.One approach to knowledge acquisition investigated was to use natural language parsing and generation to facilitate knowledge acquisition. Natural language parsing could be performed on manuals and other expert documents and an initial first pass at the rules and objects could be developed automatically. Text generation was also extremely useful in generating explanations for system behavior. This greatly facilitated the development and maintenance of expert systems.".
- Knowledge_acquisition wikiPageID "43249770".
- Knowledge_acquisition wikiPageLength "3348".
- Knowledge_acquisition wikiPageOutDegree "14".
- Knowledge_acquisition wikiPageRevisionID "683600844".
- Knowledge_acquisition wikiPageWikiLink Artificial_intelligence.
- Knowledge_acquisition wikiPageWikiLink Category:Artificial_intelligence.
- Knowledge_acquisition wikiPageWikiLink Domain_knowledge.
- Knowledge_acquisition wikiPageWikiLink Expert_system.
- Knowledge_acquisition wikiPageWikiLink Frame_language.
- Knowledge_acquisition wikiPageWikiLink Inference_engine.
- Knowledge_acquisition wikiPageWikiLink Knowledge-based_systems.
- Knowledge_acquisition wikiPageWikiLink Knowledge_engineering.
- Knowledge_acquisition wikiPageWikiLink Medical_diagnosis.
- Knowledge_acquisition wikiPageWikiLink Object-oriented_programming.
- Knowledge_acquisition wikiPageWikiLink Ontology_(information_science).
- Knowledge_acquisition wikiPageWikiLink Parsing.
- Knowledge_acquisition wikiPageWikiLink Rule-based_system.
- Knowledge_acquisition wikiPageWikiLink Stanford_University.
- Knowledge_acquisition wikiPageWikiLinkText "Knowledge acquisition".
- Knowledge_acquisition wikiPageWikiLinkText "knowledge acquisition".
- Knowledge_acquisition wikiPageUsesTemplate Template:About.
- Knowledge_acquisition wikiPageUsesTemplate Template:Reflist.
- Knowledge_acquisition subject Category:Artificial_intelligence.
- Knowledge_acquisition hypernym Process.
- Knowledge_acquisition type Election.
- Knowledge_acquisition type Concept.
- Knowledge_acquisition type Page.
- Knowledge_acquisition type Redirect.
- Knowledge_acquisition comment "Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules, objects, and frame-based ontologies.".
- Knowledge_acquisition label "Knowledge acquisition".
- Knowledge_acquisition sameAs Q6423340.
- Knowledge_acquisition sameAs m.0114ny7b.
- Knowledge_acquisition sameAs Q6423340.
- Knowledge_acquisition wasDerivedFrom Knowledge_acquisition?oldid=683600844.
- Knowledge_acquisition isPrimaryTopicOf Knowledge_acquisition.