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Futuristic knowledge management ppt bec bagalkot mba
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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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