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Next Challenges for Semantic Technologies in Corporate Knowledge Management

This presentation by José Manuel Gómez-Pérez focuses on the next challenges facing semantic technologies in corporate knowledge management. It discusses the importance of explicitly representing knowledge to enhance machine exploitation, highlights the role of ontologies in formalizing shared conceptualizations, and addresses the need for effective knowledge preservation and optimization of enterprise processes. The increasing complexity of relationships among concepts, individuals, and ideas over time emphasizes the necessity for organizations to leverage semantic web applications for better integration and interoperation.

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Next Challenges for Semantic Technologies in Corporate Knowledge Management

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  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 cooperation. [Tim Berners-Lee, James Hendler, OraLassila, Scientific American, May 2001]. sector service Public Adm Application Integration & interoperation Cultural Reasoning & Problem Solving Computer Tourism Semantic index & search Legal Navigation & Visualisation Pharma Organization Structuring Finance area B2B KM B2C B2E Etc.

  3. Emerging Technology Hype(s) 2005 2006 2007 2008 ?

  4. So, what’s the focus? KNOWLEDGE • 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 ONTOLOGIES “An ontology is a formal, explicit specification of a shared conceptualization” Concepts, properties relations, functions, constraints, axioms, are explicitly defined Machine-readable Consensual Knowledge Abstract model of some phenomenon in the world Studer, Benjamins, Fensel. Knowledge Engineering: Principles and Methods. Data and Knowledge Engineering. 25 (1998) 161-197

  5. Next challenges for semantic technologies

  6. Open innovation providers employees clients

  7. Information that we own… and lose experts relations between concepts (vs tags) relations between persons relations between ideas concepts in time

  8. Supporting knowledge workers

  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

  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 +34 93 5677200 Edifici Testa A C/ Alcalde Barnils 64-68 St. Cugat del Vallès 08190 Barcelona iSOCO Madrid +34 91 3349797 C/Pedro de Valdivia, 10 28006 Madrid iSOCO Valencia +34 96 3467143 Oficina 107 C/ Prof. Beltrán Báguena 4, 46009 Valencia

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