![Types of Semantic Web Applications
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
Public Adm
cooperation. Application Integration
[Tim Berners-Lee, James Hendler, Ora Lassila, & interoperation
Cultural Scientific American, May 2001].
Computer Reasoning &
Problem Solving
Tourism
Semantic index
& search
Legal
Navigation &
Pharma Visualisation
Organization
Finance
Structuring
B2B KM B2C B2E Etc. area
© Intelligent Software Components, S.A. 2003 2](https://image.slidesharecdn.com/nextchallengesinckm-panelekaw2008-100630103552-phpapp01/85/Next-Challenges-in-Corporate-Knowledge-Management-2-320.jpg)
Next Challenges in Corporate Knowledge Management
- 1. iSOCO EKAW 2008 Next Challenges for Semantic Technologies in Corporate Knowledge Management Jose Manuel Gómez-Pérez (iSOCO, S.A.) jmgomez@isoco.com
- 2. Types of Semantic Web Applications 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 Public Adm cooperation. Application Integration [Tim Berners-Lee, James Hendler, Ora Lassila, & interoperation Cultural Scientific American, May 2001]. Computer Reasoning & Problem Solving Tourism Semantic index & search Legal Navigation & Pharma Visualisation Organization Finance Structuring B2B KM B2C B2E Etc. area © Intelligent Software Components, S.A. 2003 2
- 3. Emerging Technology Hype(s) 2005 2006 2007 2008 ? © Intelligent Software Components, S.A. 2003 3
- 4. 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” Machine-readable Concepts, properties relations, functions, Consensual constraints, axioms, Knowledge Abstract model of some phenomenon in the world are explicitly defined Studer, Benjamins, Fensel. Knowledge Engineering: Principles and Methods. Data and Knowledge Engineering. 25 (1998) 161-197 © Intelligent Software Components, S.A. 2003 4
- 5. Next challenges for semantic technologies Open Innovation Corporate Knowledge Management Knowledge Enterprise workers processes © Intelligent Software Components, S.A. 2003 5
- 6. Open innovation providers employees clients © Intelligent Software Components, S.A. 2003 6
- 7. Information that we own… and lose experts relations between concepts (vs tags) relations between persons relations between ideas concepts in time © Intelligent Software Components, S.A. 2003 7
- 8. Supporting knowledge workers © Intelligent Software Components, S.A. 2003 8
- 9. 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 © Intelligent Software Components, S.A. 2003 9
- 10. Thanks for your attention! Jose Manuel Gómez-Pérez jmgomez@isoco.com #T +34 91 334 9778 #M +34 609 077 103 iSOCO http://www.isoco.com iSOCO Barcelona iSOCO Madrid iSOCO Valencia +34 93 5677200 +34 91 3349797 +34 96 3467143 Edifici Testa A C/Pedro de Valdivia, 10 Oficina 107 C/ Alcalde Barnils 64-68 28006 Madrid C/ Prof. Beltrán Báguena 4, St. Cugat del Vallès 46009 Valencia 08190 Barcelona © Intelligent Software Components, S.A. 2003 10