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chapter 7 notes.pdf

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Department
Information Technology
Course
ITEC 1010
Professor
Paul Kashiyama
Semester
Fall

Description
Chapter 7: Knowledge Management and Specialized Information Systems Knowledge management system • data consists of raw facts • information ◦ collection of facts organized so that they have additional value beyond the value of the facts themselves • knowledge ◦ awareness and understanding of a set of information and the ways that information can be made useful to support a specific task or reach a decision • knowledge management system (KMS) ◦ an organized collection of people, procedures, software, databases, and devices used to create, store, share, and use the organization’s knowledge and experience ◦ KMSs cover a wide range of systems, from software that contains some KMS components to dedicated systems designed specifically to capture, store, and use knowledge. Overview of knowledge management systems • explicit knowledge ◦ objective ◦ can be measured and documented in reports, papers, and rules • tacit knowledge ◦ hard to measure and document and typically is not objective or formalized Data and Knowledge Management Workers and Communities of Practice • data workers • Knowledge Workers: people who create, use, and disseminate knowledge, including professionals in science, engineering, business, and other areas. • chief knowledge officer (CKO):Atop-level executive who helps the organization use a KMS to create, store, and use knowledge to achieve organizational goals. • communities of practice (COP) ◦ a group of people dedicated to a common discipline or practice ◦ to create, store, and share knowledge Obtaining, Storing, Sharing, and Using Knowledge • knowledge workers ◦ often work in teams • knowledge repository ◦ located both inside the organization and outside ◦ includes documents, reports, files, and databases Technology to Support Knowledge Management • KMS is based on learning new knowledge and changing procedures and approaches as a result predicted that computers would be as “smart” as people by the 1960s AN OVERVIEW OFARTIFICIAL INTELLIGENCE • artificial intelligence (AI): computers with the ability to mimic or duplicate the functions of the human brain • ManyAI pioneers predicted that computers would be as “smart” as people by the 1960s Artificial Intelligence in Perspective • artificial intelligence systems: ◦ People, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate the characteristics of intelligence. The nature of intelligence • turing test: determines whether responses from a computer with intelligent behavior are indistinguishable from those from a human being • characteristics of intelligent behavior include the ability to ◦ learn from experiences and apply knowledge acquired from experience ◦ handle complex situations ◦ solve problems when important information is missing ◦ determine what is important ◦ react quickly and correctly to a new situation ◦ understand visual images ◦ process and manipulate symbols ◦ be creative and imaginative ◦ use heuristics. The Brain Computer Interface • Brain Computer Interface (BCI) ◦ idea is to directly connect the human brain to a computer and have hum
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