Next Challenges for Semantic Technologies in Corporate Knowledge Management

closebunkieAI and Robotics

Nov 15, 2013 (3 years and 4 months ago)

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iSOCO

EKAW 2008

Jose Manuel
Gómez
-
Pérez

(iSOCO, S.A.)

jmgomez@isoco.com

Next Challenges for Semantic Technologies in
Corporate Knowledge Management

2

©
Intelligent Software Components, S.A. 2003

Types of Semantic Web Applications

area

Semantic index

& search

Organization

Structuring

Reasoning &

Problem Solving

Application Integration

& interoperation

Finance

Pharma

Legal

Tourism

Computer

Cultural

Public Adm

B2B

KM

B2C

B2E

Etc.

Navigation &

Visualisation


The
Semantic Web

is an extension of the
current web in which information is given
well
-
defined
meaning
, better enabling
computers and people to work in
cooperation.


[Tim Berners
-
Lee, James
Hendler
,
Ora

Lassila
,
Scientific American, May 2001].

3

©
Intelligent Software Components, S.A. 2003

Emerging Technology Hype(s)

2005

2006

2007

?

2008

4

©
Intelligent Software Components, S.A. 2003

So, what’s the focus?


Knowledge is the most important asset to be managed by
semantic applications


However, knowledge needs to be explicitly represented in order to
be automatically exploited by machines



“An ontology is a formal, explicit specification of a shared conceptualization”

Studer, Benjamins, Fensel.
Knowledge Engineering: Principles and Methods.
Data and Knowledge Engineering
. 25 (1998) 161
-
197

Abstract model of some

phenomenon in the world

Machine
-
readable

Concepts, properties

relations, functions,

constraints, axioms,

are explicitly defined

Consensual

Knowledge

5

©
Intelligent Software Components, S.A. 2003

Next challenges for semantic technologies

Corporate

Knowledge

Management

Open
Innovation

Enterprise
processes

Knowledge

workers

6

©
Intelligent Software Components, S.A. 2003

employees

providers

clients

Open innovation

7

©
Intelligent Software Components, S.A. 2003

Information that we own… and lose





experts

relations between
persons

relations between concepts
(vs tags)

concepts in time

relations between ideas

8

©
Intelligent Software Components, S.A. 2003

Supporting knowledge workers

9

©
Intelligent Software Components, S.A. 2003

Enterprise process (discovery and optimization)


Large externalization of enterprise
processes


Knowledge distributed amongst
various providers


High risk of knowledge loss upon
change of providers


Enterprise processes need to be
made explicit in order to allow


Knowledge preservation


Increase understanding of process
execution


Process optimization


Several approaches


Process mining e.g. ProM


Knowledge provenance e.g. KOPE

10

©
Intelligent Software Components, S.A. 2003

Thanks for your attention!

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Jose Manuel Gómez
-
Pérez

jmgomez@isoco.com

#T +34 91 334 9778

#M +34 609 077 103