Futuristic knowledge management ppt bec bagalkot mba

PRESENTATION ONFUTURISTIC KNOWLEDGE MANAGEMENT PRESENTED BY:- BABASAB

PATIL

INTRODUCTION

Knowledge 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.

Problems in knowledge engineering

complex information and knowledge is

difficult to observe

experts and other sources differ

multiple representations:

Textbooks

Graphical representations

Heuristics

Skills

Knowledge engineering

Data base system and Knowledge base system

share many common principles.

Data and knowledge engineering stimulates the

exchange of ideas and interaction between these

two related fields of interests.

DKE reaches a world wide audience of

researchers, designers, managers and users.

Cont……..

The major aim of the journal is to identify,

investigate and analyze 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.

DKE covers the following topics

Representation 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.

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.

Emerging interest are in the theory of Computation theory

Biological computation and computational biology

Computational complexity

Computer theorem-proving

Concurrent and distributed process theory

Cryptographic theory

Data base theory

Decision problems in logic

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

DATA STRUCTURINGData structuring and algorithms are the basic elements from

which large and 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.

Cont……..

Data structures can be expressed in terms of the

object oriented design 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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