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| − | {{Clustering stage}} | + | {{Consolidation stage}}, |
| − | ==Definition==
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| − | {{PAGENAME}} is {{ {{PAGENAME}} }}
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| − | == Summary==
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| − | == Description ==
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| − | '''Source:''' [[Knowledge management for radioactive waste management organisations ]]
| + | :''For the IT tool that stores and retrieves knowledge, see [[Knowledge repository]]'' |
| − | === Description ===
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| − | An organization may also build subject-specific knowledge bases to collate information on key topics or processes. Knowledge base is also sometimes used to describe a database of information. The nuclear industry has a variety of knowledge bases; some are industry wide, such as the IAEA’s Power Reactor Information System (PRIS) database and International Nuclear Information System (INIS) database. Knowledge bases of NPP
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| − | operating organizations include plant procedure systems, system description documents and technical manuals.
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| − | '''Source: ''' [[Planning and Execution of Knowledge Management Assist Missions for Nuclear Organizations]]
| + | ==Definition== |
| − | | + | {{ {{PAGENAME}} }} |
| − | === Description === | + | |
| − | A knowledge-based system is a computer system that is programmed to imitate human problem
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| − | solving by means of artificial intelligence and reference to a database of knowledge on a
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| − | particular subject. The purpose of a knowledge base system is to:
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| − | * Allow knowledge to be stored and structured;
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| − | * Provide an interface with other IT systems that contain knowledge;
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| − | * Allow users to find and access knowledge;
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| − | * Carry out decision making and problem solving activities to replicate human thought
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| − | processes.
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| − | In an R&D setting, knowledge base systems can be used to:
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| − | * Replace human intervention in some decision-making or trouble-shooting processes in a lab environment (examples include intelligent monitoring/fault diagnosis on large-scale equipment or experiments that require constant supervision);
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| − | * Store/preserve knowledge from experts for reuse at a future date (used in conjunction with the knowledge capture techniques described in para 6.2);
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| − | * Work faster than human processing for some activities that may require this (examples here include integration with reactor simulator systems to help model rapidly escalating transient situations);
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| − | * Assimilate information and integrate with other IT systems such as search engines, document/content management systems, portals and social networking systems as described in Section 6.
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| − | Some examples of knowledge base systems are given below, together with the links to the
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| − | relevant internet sites:
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| − | * True knowledge (www.trueknowledge.com). An answer engine capable of answering questions put to it on any topic;
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| − | * Solvatio (www.iisy.de). A diagnostic tool, which combines case based reasoning and rules based reasoning together with a self-learning capability;
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| − | * Novo (www.novosolutions.com). Help Desk Software, Knowledge Base Software & Service Desk Software Solutions.
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| | + | ==Synonyms== |
| | + | Knowledge repository |
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| − | '''Source:'''
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| − | [[Knowledge Management for Nuclear Research and Development Organizations]]
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| − | == References ==
| + | [[Category:Storage]] |
| − | [1]
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| − | ==Related articles==
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| − | See [[Data]], [[Information]] and [[Knowledge]].
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| − | [[Category:Tools]] | + | |
1) the knowledge available to an organization 2) the knowledge available in a specific knowledge domain 3) a technology used to store complex structured and unstructured information used by a computer system ( http://en.wikipedia.org/wiki/Knowledge_base Wikipedia)
