Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

KNOWLEDGE MANAGEMENT & SPECIALIZED INFORMATION SYSTEMS, Summaries of Information Systems

KNOWLEDGE MANAGEMENT; EXPERT SYSTEMS; ARTIFICIAL INTELLIGENCE; SPECIALIZED SYSTEMS

Typology: Summaries

2013/2014

Available from 01/11/2023

stephen-camille9
stephen-camille9 🇺🇸

3.5

(2)

16 documents

1 / 4

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
CHAPTER 11: Knowledge Management and Specialized Information Systems
Knowledge management allows organizations to share knowledge and experience among their
managers and employees.
Knowledge is an 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. A knowledge
management system (KMS) is an organized collection of people, procedures, software, databases,
and devices used to create, store, share, and use the organization’s knowledge and experience.
Explicit knowledge is objective and can be measured and documented in reports, papers, and
rules.
Tacit knowledge is hard to measure and document and is typically not objective or formalized.
Knowledge workers are people who create, use, and disseminate knowledge. They are usually
professionals in science, engineering, business, and other areas. The chief knowledge officer
(CKO) is a top-level executive who helps the organization use a KMS to create, store, and use
knowledge to achieve organizational goals. Some organizations and professions use communities
of practice (COP) to create, store, and share knowledge.
A COP is a group of people or a community dedicated to a common discipline or practice, such as
open-source software, auditing, medicine, engineering, and other areas. Obtaining, storing,
sharing, and using knowledge is the key to any KMS. The use of a KMS often leads to additional
knowledge creation, storage, sharing, and usage. Many tools and techniques can be used to
create, store, and use knowledge. These tools and techniques are available from IBM, Microsoft,
and other companies and organizations.
Artificial intelligence systems form a broad and diverse set of systems that can replicate human
decision making for certain types of well-defined problems.
The term artificial intelligence is used to describe computers with the ability to mimic or
duplicate the functions of the human brain. The objective of building AI systems is not to replace
human decision making completely but to replicate it for certain types of well-defined problems.
Intelligent behavior encompasses several characteristics, including the abilities to learn from
experience and apply this knowledge to new experiences; handle complex situations and solve
problems for which pieces of information might be missing; determine relevant information in a
given situation, think in a logical and rational manner, and give a quick and correct response;
and understand visual images and process symbols. Computers are better than people at
transferring information, making a series of calculations rapidly and accurately, and making
complex calculations, but human beings are better than computers at all other attributes of
intelligence.
pf3
pf4

Partial preview of the text

Download KNOWLEDGE MANAGEMENT & SPECIALIZED INFORMATION SYSTEMS and more Summaries Information Systems in PDF only on Docsity!

CHAPTER 11: Knowledge Management and Specialized Information Systems

Knowledge management allows organizations to share knowledge and experience among their managers and employees. Knowledge is an 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. A knowledge management system (KMS) is an organized collection of people, procedures, software, databases, and devices used to create, store, share, and use the organization’s knowledge and experience. Explicit knowledge is objective and can be measured and documented in reports, papers, and rules. Tacit knowledge is hard to measure and document and is typically not objective or formalized. Knowledge workers are people who create, use, and disseminate knowledge. They are usually professionals in science, engineering, business, and other areas. The chief knowledge officer (CKO) is a top-level executive who helps the organization use a KMS to create, store, and use knowledge to achieve organizational goals. Some organizations and professions use communities of practice (COP) to create, store, and share knowledge. A COP is a group of people or a community dedicated to a common discipline or practice, such as open-source software, auditing, medicine, engineering, and other areas. Obtaining, storing, sharing, and using knowledge is the key to any KMS. The use of a KMS often leads to additional knowledge creation, storage, sharing, and usage. Many tools and techniques can be used to create, store, and use knowledge. These tools and techniques are available from IBM, Microsoft, and other companies and organizations. Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems. The term artificial intelligence is used to describe computers with the ability to mimic or duplicate the functions of the human brain. The objective of building AI systems is not to replace human decision making completely but to replicate it for certain types of well-defined problems. Intelligent behavior encompasses several characteristics, including the abilities to learn from experience and apply this knowledge to new experiences; handle complex situations and solve problems for which pieces of information might be missing; determine relevant information in a given situation, think in a logical and rational manner, and give a quick and correct response; and understand visual images and process symbols. Computers are better than people at transferring information, making a series of calculations rapidly and accurately, and making complex calculations, but human beings are better than computers at all other attributes of intelligence.

Artificial intelligence is a broad field that includes several key components, such as expert systems, robotics, vision systems, natural language processing, learning systems, and neural networks. An expert system consists of the hardware and software used to produce systems that behave as a human expert would in a specialized field or area (e.g., credit analysis). Robotics uses mechanical or computer devices to perform tasks that require a high degree of precision or are tedious or hazardous for humans (e.g., stacking cartons on a pallet). Vision systems include hardware and software that permit computers to capture, store, and manipulate images and pictures (e.g., face-recognition software). Natural language processing allows the computer to understand and react to statements and commands made in a “natural” language, such as English. Learning systems use a combination of software and hardware to allow a computer to change how it functions or reacts to situations based on feedback it receives (e.g., a computerized chess game). A neural network is a computer system that can simulate the functioning of a human brain (e.g., disease diagnostics system). A genetic algorithm is an approach to solving large, complex problems in which a number of related operations or models change and evolve until the best one emerges. The approach is based on the theory of evolution, which requires variation and natural selection. Intelligent agents consist of programs and a knowledge base used to perform a specific task for a person, a process, or another program. Expert systems can enable a novice to perform at the level of an expert but must be developed and maintained very carefully. An expert system consists of a collection of integrated and related components, including a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. The rules are often composed of if-then statements, which are used for drawing conclusions. Fuzzy logic allows expert systems to incorporate facts and relationships into expert system knowledge bases that might be imprecise or unknown. The inference engine processes the rules, data, and relationships stored in the knowledge base to provide answers, predictions, and suggestions the way a human expert would. Two common methods for processing include backward and forward chaining. Backward chaining starts with a conclusion, then searches for facts to support it; forward chaining starts with a fact, then searches for a conclusion to support it. The explanation facility of an expert system allows the user to understand what rules were used in arriving at a decision. The knowledge acquisition facility helps the user add or update knowledge in the knowledge base. The user interface makes it easier to develop and use the expert system. The people involved in the development of an expert system include the domain expert, the knowledge engineer, and the knowledge users. The domain expert is the person or group who has the expertise or knowledge being captured for the system. The knowledge engineer is the developer whose job is to extract the expertise from the domain expert. The knowledge user is the person who benefits from the use of the developed system. The steps involved in the development of an expert system include determining requirements, identifying experts, constructing expert system components, implementing results, and maintaining and reviewing the system.

Specialized systems can help organizations and individuals achieve their goals. A number of specialized systems have recently appeared to assist organizations and individuals in new and exciting ways. Segway, for example, is an electric scooter that uses sophisticated software, sensors, and gyro motors to transport people through warehouses, offices, downtown sidewalks, and other spaces. Originally designed to transport people around a factory or around town, more recent versions are being tested by the military for gathering intelligence and transporting wounded soldiers to safety. Radio Frequency Identification (RFID) tags are used in a variety of settings. Game theory involves the use of information systems to develop competitive strategies for people, organizations, and even countries. Informatics combines traditional disciplines, such as science and medicine, with computer science. Bioinformatics and medical informatics are examples. A number of special-purpose telecommunications systems can be placed in products for varied uses.