Futuristic knowledge management ppt bec bagalkot mba

1. PRESENTATION
ON
FUTURISTIC
KNOWLEDGE
MANAGEMENT
PRESENTED BY:- BABASAB PATIL

2. 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.

3. Problems in knowledge
engineering
 complex information and knowledge is difficult to
observe
 experts and other sources differ
 multiple representations:
Textbooks
Graphical representations
Heuristics
Skills

4. 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.

5. 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.

6. 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.

7. 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.

8. 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

9. 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

10. DATA STRUCTURING
Data 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.

11. 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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