KIWI

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21 Οκτ 2013 (πριν από 4 χρόνια και 2 μήνες)

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Semantic Knowledge Management



KIWI

A Framework for Enabling semantic
Knowledge Management

Presented To:

Dr.
Raed

Hanandeh


Dhia

Shahateet

Middle East University

Foundation of web technologies


1

SEMANTIC WEB


The concept of "Semantic Web" was introduced

by Tim Berners
-
Lee in
2001
with a pioneering.

paper on Scientific American (Berners
-
Lee et al.,

2001
).


after this publication the "Semantic Web"

concept was applied to quite all the different as
-

pacts of the Web, from information management

to Web services.

2



Search

engines

designed

in

the

'
90
s

indexed

Web

pages

using

keywords

extracted

from

documents

while

the

ranking,

(the

importance

of

document

'
ith

respect

to

each

keyword)

was

built

on

the

number

of

similar

words

it

contains,

the

distance

among

them,

and

other

topological

data

of

the

resource
.




The

first

revolutionary

search

engine

was

(or

is)

Google
.

Its

indexing

and

ranking

process

is

managed

by

the

software

Page

Ranking

,

the

most

important

innovation

it

introduced

concerns

the

page

ranking
.

It

assumes

a

link

from

the

page

A

to

the

page

B

as

a

"vote"

for

the

page

B,

so

the

page

B

is

more

important

and

trustful,

and

its

rank

is

higher
.


3



-

Google is the most powerful and used
search underline what it totally missing the
capability of showing connections among
the query results.
Vivisimo

and
Kartoo

use the keywords provided by the user for
extracting a Web section, then they point
out connections among Web pages and
make them usable for a more aware analysis
of the results.

4

KIWI PROJECT

-

The KIWI project was aimed to study the possibilities to manage
huge amounts of data and Information through ontology , that is,
through their semantic descriptions.

-
Ontology is an "explicit specification of a conceptualization"
(Gruber,
993
).

-
Ontologies

are considered one of the pillars of the

Semantic Web
,
although they do not have a universally accepted definition. A
(Semantic Web)

vocabulary

can be considered as a special form of
(usually light
-
weight) ontology, or sometimes also merely as a
collection of

URIs

with an (usually informally) described meaning.

-
The first problem that comes to mind is related to the definition of
the ontology. To be useful, an ontology needs to represent a shared
conceptualization of the knowledge domain, that is, users recognize
the interpretation of the world the ontology states.


5

Ontologies

show their power in
two contexts

A.

in managing data by different application
exchanging and processing them, that is.
when many applications are (or might
be) integrated in a technological
platform or system.


B.
searching data, information and
knowledge on the Web.

6

Main research questions pursued
for the KIWI project…

1.
Are there any methodologies for
developing and maintaining
ontologies
?
Are there any useful tools to this aim?

2.
Which are the best strategies for
indexing resources? And in which
context?

3.
How semantic search functionalities can
be presented to users?

7

These research questions are clearly connected in
a workflow that starts from non
-
digital
knowledge about a specific domain and aims at
providing to users a ''semantic search" interlace
where looking for knowledge resources in a
wide pool of documents and services.

Application and methodologies developed the
KIWI project , are conceived to be integrated in
a knowledge management platform on order
to introduce a semantic layer between
application and recourses.

8

Main research questions pursued
for the KIWI project…

The AIM of KIWI

-
communities and organizations need technological
systems and Internet connections in order to
manage their documents, their processes, and their
knowledge archives.

-
Technological platforms are used as medium on
which communication flows and knowledge is
stored.

-

The innovations connected with the Semantic
Web research are focused on the development of
active technological platforms.

9

The AIM of KIWI

-
The assumption at the base of the Semantic
Web research is if a clear, standardized and
scum talc
-
based description of resources
and users is available , it needs to develop a
complex system of components.

-
KIWI PROJECT
also amid to is to sketch a
methodology for developing ontology and
describing knowledge resources and to
develop an integrated set of tools for
enabling users without deep technological
skills to use them for building their semantic
knowledge base.


10

KIWI Project focused on …


issues of defining
ontologies
.


developing a semantic search engine able to
access the ontology itself and to extract
resources described with semantic metadata.


Semantic Web needs two types of skills
:


technical expertise for using languages, took and
systems


knowledge expertise in order to develop
effective
ontologies
.

11

THE APPLICATIVE CONTEXTS


Two major applicative contexts are


local business
districts and public administration a decision makers.

o

business districts

: build by several actors , working in
the same industry or in a supply chain it is extremely
important to have a knowledge .

o
public administration a decision makers:
they should be
involved as users of the platform in order to be aware
about needs, trends, and opportunities on going.


12

THE APPLICATIVE CONTEXTS

The most important platform aspects are…


the quality of the ontology.


the capability to browse it.


13


The concept of ontology came from the
artificial intelligence.


In order to he useful, ontology has to be
shared.



Ontology can help the community to
define and explicit a common language
and to strengthen the efficacy of direct
interactions.


14

THE APPLICATIVE CONTEXTS

15

Structure of the tools developed for the
KIWI project and the inputs and outputs

Knowledge

Base

Onto
Maker

Ontology

database

Assertion

Maker

Semantic

Navigator

Assertion

database

The process of developing an
ontology might


Limited group of experts (belonging or
not to the user community)


imposed to the communities members, or
it can be developed collectively in order
to improve immediately the collaborative
definition of the world.



16

Some general properties of these
projects follow…

1.
knowledge domains are well
-
focused
and well known by users.

2.
user communities are composed of
people with a high level of technological
skills.


APPLICATIONS OF THE KIWI FRAMEWORK

BT
-
Exact Case..

BT
-
Exact runs a research centre investing high
efforts in knowledge management applications.

There are a number of obstacles to introducing
open e
-
commerce on the Internet. One major
problem is the semantic interoperability.

A solution to semantic heterogeneity problems
should provide heterogeneous software systems
with the ability to share and exchange in
formation in a semantically consistent way


18

APPLICATIONS OF THE KIWI FRAMEWORK

The Engineering Institute Case


the local association of engineering is going implement
new technology platform for improving, knowledge
diffusion and sharing, supporting collaborative behavior,
and access to official documentation as laws.
announcements, work opportunities

and so on.


The KI WI framework appears very useful in this case
because:

1.
the knowledge base, laws, is wide but finite

2.
manual indexing process is feasible as high level
knowledge experts are available

3.
changes in the rule base are numerable (they change one
by one

4.
users know quite well their specific case (their project),
so the search can be quite exact in an on environment.

19

APPLICATIONS OF THE KIWI FRAMEWORK


Virtual
eBMS

case …


is a platform for knowledge management,
e
-
learn and e
-
business.

20

The SIMS architecture

SMIS Presentation layer



SIMS abstraction layer



SIMS Application layer






Infrastructure layer



Persistence layer

21

Semantic content Navigator

Ontology
engine

Virtual

Repository

Annotation

Repository

Ontology
Manager

V.R.Manager


Annotator

Wrapper

Wrapper

Wrapper

Wiki

DMS

CMS

Wiki

Respos
.

DMS

Respos
.

CMS

Respos
.

Semantic Information Management System