- Knowledge base
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A knowledge base (abbreviated KB, kb or Δ[1][2]) is a special kind of database for knowledge management, providing the means for the computerized collection, organization, and retrieval of knowledge. Also a collection of data representing related experiences, their results are related to their problems and solutions.
Contents
Types
Knowledge bases are essentially closed or open information repositories and can be categorized under two main headings:
- Machine-readable knowledge bases store knowledge in a computer-readable form, usually for the purpose of having automated deductive reasoning applied to them. They contain a set of data, often in the form of rules that describe the knowledge in a logically consistent manner. An ontology can define the structure of stored data - what types of entities are recorded and what their relationships are. Logical operators, such as And (conjunction), Or (disjunction), material implication and negation may be used to build it up from simpler pieces of information. Consequently, classical deduction can be used to reason about the knowledge in the knowledge base. Some machine-readable knowledge bases are used with artificial intelligence, for example as part of an expert system that focuses on a domain like prescription drugs or customs law. Such knowledge bases are also used by the semantic web.
- Human-readable knowledge bases are designed to allow people to retrieve and use the knowledge they contain. They are commonly used to complement a help desk or for sharing information among employees within an organization. They might store troubleshooting information, articles, white papers, user manuals, knowledge tags, or answers to frequently asked questions. Typically, a search engine is used to locate information in the system, or users may browse through a classification scheme.
- A text based system that can include groups of documents including hyperlinks between them is known as Hypertext Systems.[3] Hypertext systems support the decision process by relieving the user of the significant effort it takes to relate and remember things." [4] Knowledge bases can exist on both computers and mobile phones in a hypertext format.[5]
- Knowledge base analysis and design (also known as KBAD) is an approach that allows people to conduct analysis and design in a way that results in a knowledge base, which can later be used to make informative decisions. This approach was first implemented by Dr. Steven H. Dam[citation needed].
See also
- Commonsense knowledge base
- Enterprise bookmarking
- Text mining
- List of artificial intelligence projects
Informational formats
Notes
- ^ Argumentation in Artificial Intelligence by Iyad Rahwan, Guillermo R. Simari
- ^ "OWL DL Semantics". http://www.obitko.com/tutorials/ontologies-semantic-web/owl-dl-semantics.html. Retrieved 10 December 2010.
- ^ Knowledge Base Template
- ^ Marakas, George. Decision Support Systems in the 21st Century. Prentice Hall, 1999, p.29
- ^ Shared Knowledge Base for Mobile Phone and Computer
External links
- "Knowledge Based Systems"
- Content Repository API
- Computability Logic Homepage
- Protégé, an open source ontology editor and knowledge-base framework
- OMCSNet-WNLG, partial wordsense disambiguated version of the OMCSNet knowledge base
Semantic Web Background Sub-topics - Linked Data
- Data Web
- Hyperdata
- Dereferenceable URIs
- Rule bases
- Data Spaces
Applications - Semantic wiki
- Semantic publishing
- Semantic search
- Semantic computing
- Semantic advertising
- Semantic reasoner
- Semantic matching
- Semantic mapper
- Semantic broker
- Semantic analytics
- Semantic service oriented architecture
Related topics Standards Syntax & Supporting TechnologiesSchemas, Ontologies & RulesSemantic AnnotationCommon VocabulariesCategories:
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