Reference no: EM132401074

Part - A :

Define the following terms as other classification of knowledge and give examples

• Global vs. local
• Explicit vs. tacit
• Complete vs. incomplete
• Certain vs. uncertain
• Accessible vs. inaccessible
• Fixed vs. volatile
• Declarative vs. procedural

Part - B :
Kindly answer the following questions.

1. What is knowledge based engineering?

2. Create a Time line history for knowledge based engineering

3. Identify at least 3 applications of knowledge based engineering and explain

4. Are there some knowledge based engineering applications in your respective organizations/company? What are these applications?

5. Explain knowledge engineering life cycle

6. Compare and contrast knowledge engineering life cycle and software development life cycle.

7. What knowledge based engineering would you like to propose in your company? What are the features of your proposal? How will your company be benefited?

Part - C :
Independent learning
(Read the article Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications. ) Prepare reaction paper

Part - D :

Answer the Short Scenarios in lesson?
l The phone call test
l A rather simpler approach to answering the question which domains are worth building into an expert system?
l "Any problem that can be and frequently is solved by your in-house expert in a 10-30 minute phone call can be automated as an expert system."
l Prof.Morris Firebaugh
l Possible expert systems - case histories
l For discussion.
l The following seven problem areas may, or may not, be suitable for computerisation as expert systems.
l Possible expert systems - case histories
l A certain third world country has a large population, very few trained doctors, and insufficient resources to train many more. It is proposed to provide paramedics, who can be trained relatively cheaply and easily, with medical kits and portable PCs, each PC to be loaded with an expert system that can advise on the diagnosis and treatment of a variety of common diseases.
l Possible expert systems - case histories
l The housing department in a provincial English town is overworked, although the staff turnover is quite low. Much of the work the staff do involves interviewing clients, and there is a clear pattern of questioning (which varies to a limited degree, depending on the circumstances of the client). It is proposed to build an expert system, which will direct the questioning process.
l Possible expert systems - case histories
l A firm of wine importers relies heavily on its chief wine expert, who is skilled at selecting wines that are destined to be popular, on the basis of their taste, colour, scent etc. She is soon to retire. It is proposed to build an expert system that will enable any of several junior wine specialists to do her job.
l Possible expert systems - case histories
l An education authority has a severe shortage of primary school teachers. It is proposed that an expert system should be built which can do the job of teaching English and arithmetic to five year old children.
l Possible expert systems - case histories
l A software company proposes to build an expert system which can perform book-keeping for small commercial concerns.
l Possible expert systems - case histories
l A large manufacturer of diesel electric locomotives has problems in providing enough maintenance personnel who are sufficiently skilled to locate faults in these (highly complex) locomotives. They propose to build an expert system which can perform fault location on such a machine.
l Possible expert systems - case histories
l A mineral exploitation company wishes to extend its operations, which involve searching for hitherto undiscovered deposits of valuable metal ores. It is short of trained geologists. It proposes to build an expert system which can assess a geological site and come to a conclusion about how likely it is that there is a worthwhile mineral deposit there.