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Developing a domain ontology for knowledge management technologies -…
Developing a domain
ontology for knowledge
management technologies
Introduction
Knowledge management is a holy grainl of modern company
ontology is explicit specification of conceptualization
improper technologies
results in
wasting time
energy
Knowledge management technologies
knowledge management cycles phases
Acqisition
creation
codification
sharing
access
usage and reuse of knowledge
integrated cycle
Three comprehensive phases
knowledge capture and/or creation
knowledge sharing and descrimination
knowledge acquisition and application
ontology
is a science of evaluating creatures and relations between them
Ontology "O" is multi-arranged O=<C,R,I,A>
components
Collection of concepts in model world
relationships between concepts
instances for concepts
axioms and rules of interference
Methodology
includes
Determinanation of ontology scope
considering reuse of existing ontologies
enumerating important terms of ontology
definition of classes and their hierarchy
determining characteristics or limitations
production of instances
Ontology development
is explicit and formal description
of shared mnetal concept
involves
Two knowledge management strategies
codification
personalization
enumerating important terms of ontology
technologies should be specified
Existing technologies should be investigated
two types of relationships
taxonomic
non taxonomic
considering reuse of existing ontologies
no formal ontology
only ontology is saito el al
Determining the ontology scope
provides tetramous category of technology
should be answerable to questions like
what technologies are appropriate
what technologies are suitable?
what technologies can be used?
definition of classes and their hierarchy
hierarchy based on four concepts
subclasses relationships
seperated analysis
complete analysis
partition
determining characteristics of class-slots
object properties are determined
determining characteristics or limitations of these slots
domain and range of object properties are determined
instance production
attributes are identified
allocated to 26 technology classes
ontology evaluation
consistency
has no paradox
does not result to paradox rise
abbreviation
does not accomodate unnecessary
no explicit redundancy
no deduction from definitions
Taxonomy of knowledge management software tools:origins and applications
involves knowledge management tools
established information technology
based on
borrowed from outer disciples
information technology
based on
designed as Knowledge management tools
knowledge management tool definition
supports the performance of
applications
activities
actions
not all tools are computer based
uses internet and groupware systems
technologies
facilitate implementation of knowledge process
used to clarify assumptions
speed up communications
elicit tacit knowledge
construct histories of insights
knowledge management tools
knowledge is fluid mix of
framed experience
values
contexual information
expert insight
evaluation of knowledge management tools
knowledge generation requires tools that enables
acquisition
sysnthesis
creation of knowledge
commercial gropware systems
document management systems
information management systems
searching and indexing suystems
expert systems
communications and collaboration systems
intellectual asset systems
classification of knowledge management tools
intranets
is company wide information distribution systems
web portals
portal means large door or gateway
portals can provide links to all enterprise relevant sites
content management
not only internet web
document management systems
utilizes following activities
store files in central library
control access to files
keep an audit activity
search documents on either content
Information rettrieval engines
used for
indexing
searching
recalling data
Relatinal and object databases
database is a storage of information
data stored in tables
electronic publishing systems
distribution of information entertainmnet
Push technologies
technology of push-pull facilities relevant information
Help desk applications
allows to effectively manage internal and external client support
customer relationship management(CRM)
CRM is strategy for delivering superior customer service
Data Warehousing
is a central store of data
data mining
is a process of
selecting
exploring
modelling
Semantic knowledge managemnet and blockchain-based privacy for internet of things applications
distributed complex systems capable of improving perception
several technologies emerged
Post-processing sensor information
an ontological model
considers both static and dynamic layer
Architecture for reasoning and decision-making systems
offers high interoperability and abstraction
Assuring data integrity
allows narrative representation of events
hyperledger fabric blockchain basics
blockchain structures data into blocks
each block contains
transaction
blocks are organised into
cryptographic chain
ontological knowledge representation
NKRL defines ontology concept
includes more than 3000 concepts
Hclass is not different
from frame based or protge
concept component
allows representation of concepts
concept is binary representation
Individual component
concerns formal representation of instances
factual components
allows to represent events/actions
n-ary component
NKRL considers
elementary event as
spatial temporal knowledge called
template
n-ary knowledge representation
creates predictive occurence
system evaluated expressions
HF and distributed complex systems
robots can modify
internal structure
Development executuin environment
assumes consortium network
consists of
three organizations
robots
hospitals
home
primary purpose is to secure communication