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Knowledge representation and reasoning

Knowledge representation and reasoning
Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) devoted to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets. Examples of knowledge representation formalisms include semantic nets, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers. Overview[edit] This hypothesis was not always taken as a given by researchers. History[edit] Characteristics[edit] Related:  ☢️ Knowledge ManagementSaved Wiki

A picture is worth a thousand words The expression "Use a picture. It's worth a thousand words." appears in a 1911 newspaper article quoting newspaper editor Arthur Brisbane discussing journalism and publicity.[1] 1913 newspaper advertisement A similar phrase, "One Look Is Worth A Thousand Words", appears in a 1913 newspaper advertisement for the Piqua Auto Supply House of Piqua, Ohio.[2] An early use of the exact phrase appears in an 1918 newspaper advertisement for the San Antonio Light which says: One of the Nation's Greatest Editors Says: One Picture is Worth a Thousand Words The San Antonio Light's Pictorial Magazine of the War Exemplifies the truth of the above statement—judging from the warm reception it has received at the hands of the Sunday Light readers.[3] It is believed by some that the modern use of the phrase stems from an article by Fred R. Another ad by Barnard appears in the March 10, 1927 issue with the phrase "One Picture Worth Ten Thousand Words," where it is labeled a Chinese proverb (一圖勝萬言).

OWL Web Ontology Language Overview W3C Recommendation 10 February 2004 New Version Available: OWL 2 (Document Status Update, 12 November 2009) The OWL Working Group has produced a W3C Recommendation for a new version of OWL which adds features to this 2004 version, while remaining compatible. Please see OWL 2 Document Overview for an introduction to OWL 2 and a guide to the OWL 2 document set. This version: Latest version: Previous version: Editors: Deborah L. Frank van Harmelen (Vrije Universiteit, Amsterdam) Frank.van.Harmelen@cs.vu.nl Please refer to the errata for this document, which may include some normative corrections. See also translations. Copyright © 2004 W3C® (MIT, ERCIM, Keio), All Rights Reserved. Abstract The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. 1. 2. 3.

KL-ONE There is a whole family of KL-ONE-like systems. In KL-ONE descriptions are separated into two basic classes of concepts: primitive and defined. Primitives are domain concepts that are not fully defined. This means that given all the properties of a concept, this is not sufficient to classify it. They may also be viewed as incomplete definitions. The slot-concept is called roles and the values of the roles are role-fillers. See also[edit] Ontology language References[edit] This article is based on material taken from the Free On-line Dictionary of Computing prior to 1 November 2008 and incorporated under the "relicensing" terms of the GFDL, version 1.3 or later. Kynapse Kynapse is the artificial intelligence middleware product, developed by Kynogon, which was bought by Autodesk in 2008 and called Autodesk Kynapse. In 2011, it has been re-engineered and rebranded Autodesk Navigation[3]. Features[edit] Usage[edit] References[edit] External links[edit] Official website

Sociology of knowledge The sociology of knowledge is the study of the relationship between human thought and the social context within which it arises, and of the effects prevailing ideas have on societies. It is not a specialized area of sociology but instead deals with broad fundamental questions about the extent and limits of social influences on individual's lives and the social-cultural basics of our knowledge about the world.[1] Complementary to the sociology of knowledge is the sociology of ignorance[2] including the study of nescience, ignorance, knowledge gaps or non-knowledge as inherent features of knowledge making.[3] [4] [5] The sociology of knowledge was pioneered primarily by the sociologists Émile Durkheim and Marcel Mauss at the end of the 19th and beginning of the 20th centuries. Their works deal directly with how conceptual thought, language, and logic could be influenced by the sociological milieu out of which they arise. Schools[edit] Émile Durkheim[edit] Karl Mannheim[edit] Robert K.

OWL at Manchester EFQM Excellence Model and Knowledge Management Implications KM and your business model. Dilip Bhatt, takes a close look at the model developed by the European Foundation for Quality Management, and using the "hybrid skills" he has honed since serving as a geophysicist in the 70's and 80's, links knowledge management strategies directly to business policies and strategies. Bhatt is currently a Principal Consultant with ICL ltd. located in the U.K. where he provides strategic KM consultancy to banks, government agencies, as well as to other business organizations. He's actively assisting in developing ICL's own KM strategy and capacities associated with their cultural changes. EFQM Excellence Model and Knowledge Management Implications by Dilip Bhatt Introduction In spite of all the discussions and publications about Knowledge Management, many business executives are still asking, “What does it mean?” Management by Processes & Facts People Development & Involvement Continuous Learning, Innovation & Improvement Partnership Development

Knowledge management Process of creating, sharing, using and managing the knowledge and information of an organization Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization.[1] It refers to a multidisciplinary approach to achieve organizational objectives by making the best use of knowledge.[2] An established discipline since 1991,[3] KM includes courses taught in the fields of business administration, information systems, management, library, and information science.[3][4] Other fields may contribute to KM research, including information and media, computer science, public health and public policy.[5] Several universities offer dedicated master's degrees in knowledge management. History[edit] In 1999, the term personal knowledge management was introduced; it refers to the management of knowledge at the individual level.[12] Research[edit] Dimensions[edit] Strategies[edit] Motivations[edit] KM technologies[edit]

Information literacy The United States National Forum on Information Literacy defines information literacy as " ... the ability to know when there is a need for information, to be able to identify, locate, evaluate, and effectively use that information for the issue or problem at hand."[1][2] Other definitions incorporate aspects of "skepticism, judgement, free thinking, questioning, and understanding... A number of efforts have been made to better define the concept and its relationship to other skills and forms of literacy. History of the concept[edit] The phrase information literacy first appeared in print in a 1974 report by Paul G. The Presidential Committee on Information Literacy released a report on January 10, 1989, outlining the importance of information literacy, opportunities to develop information literacy, and an Information Age School. The Alexandria Proclamation linked Information literacy with lifelong learning. On May 28, 2009, U.S. Presidential Committee on Information Literacy[edit]

Wiki - Semantic Web Standards Community Knowledge Management I've created a concept map for my latest research topic of; Community Knowledge Management Systems for Development (CKMS4D). ABSTRACT: This article describes the resources and approach required to build a Community Knowledge Management System (CKMS) in rural developing communities. The increased availability of Information and Communication Technology (ICT) through telecentres, cellular telephones, rural wireless networks and community schools have increased the likelihood of partnerships successfully creating community repositories of indigenous knowledge. Through the use of free open source software (FOSS), access to the multimedia of video recorders, audio recorders and digital photography combined with the increasing knowledge of how to use these technologies makes a CKMS within reach for many developing communities.

by raviii Apr 24

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