futuristic knowledge management ppt mba

8/2/2019 Futuristic Knowledge Management PpT Mba

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PRESENTATION

ON

FUTURISTIC

KNOWLEDGE

MANAGEMENT

PRESENTED BY:- BABASAB PATIL


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INTRODUCTIONKnowledge Engineering is a process of eliciting, structuring,

formalizing, operationalizing information and knowledge

involved in knowledge-intensive problem domain, in order to

construct a program that can perform a difficult task adequately.


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Problems in knowledge engineering complex information and knowledge is difficult to observe

experts and other sources differ

multiple representations:

Textbooks

Graphical representations

Heuristics

Skills


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Knowledge engineering

Data base system and Knowledge base system share many

common principles.

Data and knowledge engineering stimulates the exchange ofideas and interaction between these two related fields of

interests.

DKE reaches a world wide audience of researchers, designers,

managers and users.


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Cont..The major aim of the journal is to identify, investigate andanalyze the underlying the principles in the design and effective

use of these systems.

DKE achieves this aim by publishing original research results,

technical advance and news items concerning data engineering,

Knowledge engineering, and the interface of these fields.


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DKE covers the following topicsRepresentation and manipulation of data and Knowledge.

Architectures of database, expert, or Knowledge-based system.

Construction of data/Knowledge base.

Applications, case studies, and management issues.

Communication aspects involved in implementing, designing

and using KBSs in Cyberspace.


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Theory of computation Computations are designed for processing information.

The study of computation aims at providing an insight into the

characteristics of computations.

The study of computation reveals that there are problems that

cannot be resolved. And of the problems that can be solved,

there are some that require infeasible amount of resources.


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Emerging interest are in the theoryof Computation theoryBiological computation and computational biology

Computational complexity

Computer theorem-proving

Concurrent and distributed process theory

Cryptographic theory

Data base theory

Decision problems in logic


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Cont..Design and analysis of algorithms

Discrete optimization and mathematical programming

Inductive inference and learning

Program verification

Probabilistic computation

Semantics of programming language

Symbolic computation, Lambda calculus and rewriting systems

Types and typechecking


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DATA STRUCTURINGData structuring and algorithms are the basic elements from which largeand complex software artifacts are built.

To develop a solid understanding of a data structure requires three

things:

You must learn how the information in arranged in the memory of the

computer.

You must become the familiar with the algorithms for manipulating the

information contained in the data structure.

You must understand the performance characteristics of the data

structure so that when called upon to select a suitable data structure for

a particular application, you are able to make an appropriate decision.


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Cont..Data structures can be expressed in terms of the object orienteddesign patterns and algorithms Java programming language.

With the ever increasing influence of the Word Wide Web

(WWW) and the internet, the importance of data structure

design principles has actually increased.


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futuristic knowledge management ppt mba

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