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Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Knowledge-based_systems> ?p ?o }

• Knowledge-based_systems abstract "A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. The term is broad and is used to refer to many different kinds of systems. The one common theme that unites all knowledge based systems is an attempt to represent knowledge explicitly via tools such as ontologies and rules rather than implicitly via code the way a conventional computer program does. A knowledge based system has two types of sub-systems: a knowledge base and an inference engine. The knowledge base represents facts about the world, often in some form of subsumption ontology. The inference engine represents logical assertions and conditions about the world, usually represented via IF-THEN rules.Knowledge-Based systems were first developed by Artificial Intelligence researchers. These early knowledge-based systems were primarily expert systems. In fact the term is often used synonymously with expert systems. The difference is in the view taken to describe the system. Expert system refers to the type of task the system is trying to solve, to replace or aid a human expert in a complex task. Knowledge-based system refers to the architecture of the system, that it represents knowledge explicitly rather than as procedural code. While the earliest knowledge-based systems were almost all expert systems, the same tools and architectures can and have since been used for a whole host of other types of systems. I.e., virtually all expert systems are knowledge-based systems but many knowledge-based systems are not expert systems.The first knowledge-based systems were rule based expert systems. One of the most famous was Mycin a program for medical diagnosis. These early expert systems represented facts about the world as simple assertions in a flat database and used rules to reason about and as a result add to these assertions. Representing knowledge explicitly via rules had several advantages: Acquisition & Maintenance. Using rules meant that domain experts could often define and maintain the rules themselves rather than via a programmer. Explanation. Representing knowledge explicitly allowed systems to reason about how they came to a conclusion and use this information to explain results to users. For example, to follow the chain of inferences that led to a diagnosis and use these facts to explain the diagnosis. Reasoning. Decoupling the knowledge from the processing of that knowledge enabled general purpose inference engines to be developed. These systems could develop conclusions that followed from a data set that the initial developers may not have even been aware of.As knowledge-based systems became more complex the techniques used to represent the knowledge base became more sophisticated. Rather than representing facts as assertions about data, the knowledge-base became more structured, representing information using similar techniques to object-oriented programming such as hierarchies of classes and subclasses, relations between classes, and behavior of objects. As the knowledge base became more structured reasoning could occur both by independent rules and by interactions within the knowledge base itself. For example, procedures stored as demons on objects could fire and could replicate the chaining behavior of rules.Another advancement was the development of special purpose automated reasoning systems called classifiers. Rather than statically declare the subsumption relations in a knowledge-base a classifier allows the developer to simply declare facts about the world and let the classifier deduce the relations. In this way a classifier also can play the role of an inference engine.The most recent advancement of knowledge-based systems has been to adopt the technologies for the development of systems that use the Internet. The Internet often has to deal with complex, unstructured data that can't be relied on to fit a specific data model. The technology of knowledge-based systems and especially the ability to classify objects on demand is ideal for such systems. The model for these kinds of knowledge-based Internet systems is known as the Semantic Web.".
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• Knowledge-based_systems wikiPageRevisionID "702132685".
• Knowledge-based_systems wikiPageWikiLink Artificial_intelligence.
• Knowledge-based_systems wikiPageWikiLink Artificial_neural_network.
• Knowledge-based_systems wikiPageWikiLink Automated_reasoning.
• Knowledge-based_systems wikiPageWikiLink Case-based_reasoning.
• Knowledge-based_systems wikiPageWikiLink Category:Artificial_intelligence.
• Knowledge-based_systems wikiPageWikiLink Computer_program.
• Knowledge-based_systems wikiPageWikiLink Expert_system.
• Knowledge-based_systems wikiPageWikiLink Inference_engine.
• Knowledge-based_systems wikiPageWikiLink Is-a.
• Knowledge-based_systems wikiPageWikiLink Knowledge_base.
• Knowledge-based_systems wikiPageWikiLink Mycin.
• Knowledge-based_systems wikiPageWikiLink Object-oriented_programming.
• Knowledge-based_systems wikiPageWikiLink Ontology_(information_science).
• Knowledge-based_systems wikiPageWikiLink Problem_solving.
• Knowledge-based_systems wikiPageWikiLink Reasoning_system.
• Knowledge-based_systems wikiPageWikiLink Semantic_Web.
• Knowledge-based_systems wikiPageWikiLinkText "Intelligent Knowledge Based Systems".
• Knowledge-based_systems wikiPageWikiLinkText "Knowledge-based systems".
• Knowledge-based_systems wikiPageWikiLinkText "knowledge based expert systems".
• Knowledge-based_systems wikiPageWikiLinkText "knowledge systems".
• Knowledge-based_systems wikiPageWikiLinkText "knowledge-based systems".
• Knowledge-based_systems wikiPageWikiLinkText "knowledge-based".
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• Knowledge-based_systems subject Category:Artificial_intelligence.
• Knowledge-based_systems hypernym Program.
• Knowledge-based_systems type Area.
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• Knowledge-based_systems type Work.
• Knowledge-based_systems type Area.
• Knowledge-based_systems comment "A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. The term is broad and is used to refer to many different kinds of systems. The one common theme that unites all knowledge based systems is an attempt to represent knowledge explicitly via tools such as ontologies and rules rather than implicitly via code the way a conventional computer program does.".
• Knowledge-based_systems label "Knowledge-based systems".
• Knowledge-based_systems sameAs Q1412694.
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• Knowledge-based_systems sameAs سیستم_پایگاه_دانش.
• Knowledge-based_systems sameAs Córas_eolasbhunaithe.
• Knowledge-based_systems sameAs m.04xxsr.
• Knowledge-based_systems sameAs Bilgi-tabanlı_sistem.
• Knowledge-based_systems sameAs Q1412694.
• Knowledge-based_systems wasDerivedFrom Knowledge-based_systems?oldid=702132685.
• Knowledge-based_systems isPrimaryTopicOf Knowledge-based_systems.