Abstract
This chapter exemplarily illustrates the role that semantic technologies can play in knowledge management. Starting from a conceptual overview of knowledge management, the role of semantic technologies is explored along two dimensions: (1) on the one hand, the degree of formality of explicit knowledge (from tags in folksonomies to F-Logic rules); and (2) on the other hand, the degree of externalization of knowledge (from implicit knowledge in human’s heads to actionable knowledge in expert systems). Several examples from industry and research are used to illustrate operating points along these dimensions.
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Notes
- 1.
For a more detailed discussion of structuredness, formality, and explicitness, please refer to [28]. In KM, one typically considers natural-language texts or other multimedia representations as “unstructured”, compared to structured or semi-structured representations in relational or in XML or RDF databases. Völkel [28] also elaborates on cost models and cost-benefit considerations in personal KM, whereas [30] address such issues in more collaborative environments.
References
Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. 7(i), 39–59 (1994)
Abecker, A.: Business-process oriented knowledge management: concepts, methods, and tools. PhD thesis, Universität Karlsruhe (TH) (2004). Supervisors: Prof. Dr. Rudi Studer, Prof. Dr. Peter Knauth, Prof. Dr. Grigoris Mentzas
Abecker, A., van Elst, L.: Ontologies for knowledge management. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, 2nd edn. Springer, Berlin (2008)
Abecker, A., Bernardi, A., Hinkelmann, K., Kühn, O., Sintek, M.: Towards a technology for organizational memories. IEEE Intelligent Systems & Their Applications 13(3) (1998)
Angele, J., Kifer, M., Lausen, G.: Ontologies in F-logic. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies, 2nd edn. Springer, Berlin (2008)
Biesalski, E.: Unterstützung der Personalentwicklung mit ontologiebasiertem Kompetenzmanagement. PhD thesis, Universität Karlsruhe (TH) (2006). Supervisors: Prof. Dr. Rudi Studer, Prof. Dr. Peter Knauth (in German)
Biesalski, E., Abecker, A.: Similarity measures for skill-profile matching in enterprise knowledge management. In: 8th Int. Conf. on Enterprise Information Systems (ICEIS-06) (2006)
Chaudhri, V.K., John, B.E., Mishra, S., Pacheco, J., Porter, B., Spaulding, A.: Enabling experts to build knowledge bases from science textbooks. In: K-CAP ’07: Proc. of the 4th Int. Conf. on Knowledge Capture, pp. 159–166. ACM, New York (2007)
Colucci, S., Di Noia, T., Di Sciascio, E., Donini, F.M., Mongiello, M., Mottola, M.: A formal approach to ontology-based semantic match of skills descriptions. J. Univers. Comput. Sci. 9(12), 1437–1454 (2003)
Ehrig, M., Haase, P., Hefke, M., Stojanovic, N.: Similarity for ontologies—a comprehensive framework. In: 13th European Conference on Information Systems (ECIS-2005) (2005)
Friedland, N.S., Allen, P.G., Matthews, G., et al.: Project HALO: towards a digital Aristotle. AI Mag. 25(4), 29–48 (2004)
Gómez-Pérez, J.M., Erdmann, M., Greaves, M.: Applying problem solving methods for process knowledge acquisition, representation, and reasoning. In: K-CAP ’07: Proc. of the 4th Int. Conf. on Knowledge Capture, pp. 15–22. ACM, New York (2007)
Gronau, N., Uslar, M.: Requirements and recommenders for skill management. In: Dieng-Kuntz, R., Matta, N. (eds.) ECAI-04 Workshop on Knowledge Management and Organizational Memory (2004)
Handschuh, S., Maedche, A.: Cream—creating relational metadata with a component-based, ontology-driven annotation framework. In: Proc. 1st Int. Conf. on Knowledge Capture (K-CAP) (2001)
Hansch, D., Erdmann, M.: Deep authoring, answering and representation of knowledge by subject matter experts—final report implementation phase. Technical report, ontoprise GmbH (2006)
Hefke, M., Abecker, A., Jäger, K.: Portability of best practice cases for knowledge management introduction. J. Univers. Knowl. Manag. 1(3), 235–254 (2006)
Hefke, M.: Ontologiebasierte Werkzeuge zur Unterstützung von Organisationen bei der Einführung und Durchführung von Wissensmanagement. PhD thesis, Universität Karlsruhe (TH) (2008). Supervisors: Prof. Dr. Rudi Studer, Prof. Dr. Peter Knauth (in German)
Lau, T., Sure, Y.: Introducing ontology-based skills management at a large insurance company. In: Workshop Modellierung 2002, pp. 123–134. (2002)
Liao, M., Hinkelmann, K., Abecker, A., Sintek, M.: A competence knowledge base system for the organizational memory. In: Puppe, F. (ed.) XPS-99/5. Deutsche Tagung Wissensbasierte Systeme. Lecture Notes in Artificial Intelligence, vol. 1570. Springer, Berlin (1999)
Mentzas, G., Apostolou, D., Young, R., Abecker, A.: Knowledge Asset Management. Springer, London (2002)
Probst, G., Raub, S., Romhardt, K.: Managing Knowledge: Building Blocks for Success. Wiley, London (1999)
Scholz, C.: Personalmanagement. Informationsorientierte und verhaltenstheoretische Grundlagen, 3rd edn. Vahlen, München (1993) (in German)
Scholz, C., Djarrazadeh, M.: Strategisches Personalmanagement—Konzeptionen und Realisationen. USW-Schriften für Führungskräfte, vol. 28. Schäffer Poeschel, Stuttgart (1995) (in German)
Schuler, R.S.: Strategic human resource management: linking people with the strategic needs of the business. Organizational Dynamics (1992)
Stader, J., Macintosh, A.: Capability modelling and knowledge management. In: Applications and Innovations in Expert Systems VII. Proc. ES’99—19th Int. Conf. of the BCS Specialist Group on KBS and Applied AI, pp. 33–50. Springer, Berlin (1999)
Sure, Y., Maedche, A., Staab, S.: Leveraging corporate skill knowledge—from ProPer to OntoProPer. In: Mahling, D., Reimer, U. (eds.) 3rd Int. Conf. on Practical Aspects of Knowledge Management (2000)
Sure, Y., Angele, J., Staab, S.: Ontoedit: multifaceted inferencing for ontology engineering. In: Journal on Data Semantics. Lecture Notes in Computer Science, vol. 2800, pp. 128–152. Springer, Berlin (2003)
Völkel, M.: Personal knowledge models with semantic technologies. PhD thesis, KIT—Karlsruhe Institute of Technology (2010). Supervisors: Prof. Dr. Rudi Studer, Prof. Dr. Klaus Tochtermann
Völkel, M., Haller, H.: Conceptual data structures for personal knowledge management. Online Inf. Rev. 33(2), 298–315 (2009)
Zacharias, V.: Tool support for finding and preventing faults in rule bases. PhD thesis, Universität Karlsruhe (TH) (2008). Supervisors: Prof. Dr. Rudi Studer, Prof. Dr. Karl-Heinz Waldmann
Acknowledgements
The work presented in this chapter has been funded over several years by a number of private and public institutions—just to mention the most important ones: the German Federal State of Baden-Württemberg, the German Federal Ministry for Economics and Technology (BMWi) within the research programme THESEUS, the German Federal Ministry of Education and Research (BMBF) with the research project “Im Wissensnetz”, the European Commission with IST projects “MATURE” and “NEPOMUK”, as well as DaimlerChrysler AG and VULCAN Inc.
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Abecker, A., Biesalski, E., Braun, S., Hefke, M., Zacharias, V. (2011). Semantics in Knowledge Management. In: Fensel, D. (eds) Foundations for the Web of Information and Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19797-0_15
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