TOPIC 8 - KNOWLEDGE MANAGEMENT AND BUILDING INFORMATION SYSTEMS Flashcards
Briefly describe each of the three types of KMS.
Generally, there are three types of KMS. Subtopics 8.2.2 through 8.2.4 will cover each of the three types of KMS in the following order:
(a) Enterprise-wide KMS
An enterprise-wide KMS is one which is used for general purposes. It is implemented in the organisation to manage digital content and knowledge whenever required. It includes the storage, distribution and collection functions, which are capable of utilising both structured and unstructured data. Besides that, the KMS covers tools and technologies such as search engines and collaboration applications including messaging, e-mail and portals.
(b) Knowledge Work Systems (KWS)
Demands have driven the development of networked machines and applications that are getting more powerful. They are now used to help experts such as scientists and engineers to discover new knowledge. This in turn has led to more specialised systems that are knowledge-based. They include visualisation, virtual reality systems and CAD (computer-aided design). These are commonly known as knowledge work systems (KWS).
(c) Artificial Intelligence (AI) Techniques
AI techniques are crucial for processes such as neural networks, genetic algorithms, expert systems, fuzzy logic, intelligent systems and more notably, data mining. They are used for to achieve objectives of finding optimal solutions for problems, discovering knowledge and making decisions.
State four examples of the applications of KMS.
a) Enterprise-wide KMS
An enterprise-wide KMS is one which is used for general purposes. It is implemented in the organisation to manage digital content and knowledge whenever required. It includes the storage, distribution and collection functions, which are capable of utilising both structured and unstructured data. Besides that, the KMS covers tools and technologies such as search engines and collaboration applications including messaging, e-mail and portals.
(b) Knowledge Work Systems (KWS)
Demands have driven the development of networked machines and applications that are getting more powerful. They are now used to help experts such as scientists and engineers to discover new knowledge. This in turn has led to more specialised systems that are knowledge-based. They include visualisation, virtual reality systems and CAD (computer-aided design). These are commonly known as knowledge work systems (KWS).
(c) Artificial Intelligence (AI) Techniques
AI techniques are crucial for processes such as neural networks, genetic algorithms, expert systems, fuzzy logic, intelligent systems and more notably, data mining. They are used for to achieve objectives of finding optimal solutions for problems, discovering knowledge and making decisions.
