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2014 | OriginalPaper | Buchkapitel

9. The Role of Ontologies in Developing Knowledge Technologies

verfasst von : Gunjan Mansingh, Lila Rao

Erschienen in: Knowledge Management for Development

Verlag: Springer US

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Abstract

Knowledge management has been dependent largely on technologies that are used to manage data and information. However, it is widely accepted that there is an important distinction between knowledge and data and information and until there is a focus on building strategies and technologies specific to knowledge management, the full potential of knowledge cannot be realized. Within an organization knowledge resides in numerous sources of different types such as human experts, processes, and data stores. Therefore the development of the specific technologies should focus on the management of this knowledge within these different sources. Many of these technologies need access to the knowledge of the domain which can be formally represented using an ontology. In this chapter we describe three ontology-driven knowledge technologies and discuss how they can be beneficial in harnessing knowledge in these varied sources.

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Vorheriges Kapitel A Methodology for Developing High Quality Ontologies for Knowledge Management

Nächstes Kapitel Knowledge Sharing in Repository-Based KM Systems: A Study in the IT Services Enterprises in India

Cannataro, M., & Comito, C. (2003). A data mining ontology for grid programming. Paper presented at the 1st International Workshop on Semantics in Peer-to-Peer and Grid Computing (SemPGrid2003), Budapest, Hungary, 113–134.CrossRef

Chua, A. (2004). Knowledge management system architecture: A bridge between KM consultants and technologists. International Journal of Information Management, 24, 87–98.CrossRef

Cios, K., Teresinska, A., Konieczna, S., Potocka, J., & Sharma, S. (2000). Diagnosing myocardial perfusion from PECT bull’s-eye maps—A knowledge discovery approach. IEEE Engineering in Medicine and Biology Magazine, 19(4), 17–25.CrossRef

Fensel, D. (2004). Ontologies: A silver bullet for knowledge management and electronic commerce (2nd ed.). Berlin, Germany: Springer.CrossRef

Fox, M. S., & Gruninger, M. (1998). Enterprise modelling. AI Magazine, 19(3), 109–121.CrossRef

Garavelli, A. C., Gorgolione, M., & Scozzi, B. (2002). Managing knowledge transfer by knowledge technologies. Technovation, 22, 269–279.CrossRef

Guarino, N. (1998, 6–8th June). Formal ontology and information systems. Paper presented at the first international conference on formal ontologies in information systems, Trento, Italy.

Jurisica, I., Mylopoulos, J., & Yu, E. (2004). Ontology for knowledge management: An information systems perspective. Knowledge and Information Systems, 6, 380–401.CrossRef

Koenderink, J. J. P., Top, J. L., & van Vliet, L. J. (2006). Supporting knowledge-intensive inspection tasks with application ontologies. International Journal of Human Computer Studies, 64, 974–983.CrossRef

Kurgan, L. A., & Musilek, P. (2006). The survey of knowledge discovery and data mining process models. Knowledge Engineering Review, 21(1), 1–24.CrossRef

Maier, R., & Hadrich, T. (2006). Knowledge management systems. In D. G. Schwartz (Ed.), Encyclopedia of knowledge management (pp. 442–450). London: Idea Group.

Malhotra, Y. (2000). From information management to knowledge management: Beyond the ‘Hi-Tech Hidebound’ systems. In K. Srikantaiah & M. E. D. Koenig (Eds.), Knowledge management for the information professional (pp. 37–61). Medford, NJ: Information Today.

Mansingh, G., Osei-Bryson, K.-M., & Reichgelt, H. (2009). Building ontology-based knowledge maps to assist knowledge process outsourcing decisions. Knowledge Management Research and Practice, 7, 37–51.CrossRef

Mansingh, G., Osei-Bryson, K.-M., & Reichgelt, H. (2010). Using ontologies to facilitate post-processing of association rules by domain experts. Information Sciences, 181(3), 419–434.CrossRef

McDermott, R. (1999). Why information technology inspired but cannot deliver knowledge management. California Management Review, 41(4), 103–117.CrossRef

Noy, N., & McGuiness, D. L. (2001). Ontology development 101: A guide to creating your first ontology. Stanford: Stanford Medical Informatics, Stanford University.

Pinto, H. S., & Martin, J. P. (2004). Ontologies: How can they be built? Knowledge and Information Systems, 6, 441–464.CrossRef

Rao, L., & Osei-Bryson, K. M. (2007). Towards defining dimensions of knowledge systems quality. Expert Systems with Applications, 33(2), 368–378.CrossRef

Sharma, S., & Osei-Bryson, K. M. (2008). Organization-ontology based framework for implementing the business understanding phase of data mining projects. Paper presented at the 41st Hawaii international conference on systems sciences, Big Island, HI.

Sharma, S., Osei-Bryson, K.-M., & Kasper, G. M. (2012). Evaluation of an integrated knowledge discovery and data mining process model. Expert Systems with Applications, 39(13), 11335–11348.CrossRef

Shearer, C. (2000). The CRISP-DM model: The new blueprint for data mining. Journal of Data Warehousing, 5(4), 13–22.

Shue, L.-Y., Chen, C.-W., & Shiue, W. (2009). The development of an ontology-based expert system for corporate financial rating. Expert Systems with Applications, 36(2), 2130–2142.CrossRef

Studer, R., Benjamins, V. R., & Fensel, D. (1998). Knowledge engineering: Principles and methods. Data & Knowledge Engineering, 25, 161–197.CrossRef

Zhang, H., Kishore, R., Sharman, R., & Ramesh, R. (2007). Agile Integration Modeling Language (AIML): A conceptual modeling grammar for agile integrative business information systems. Decision Support Systems, 44(1), 266–284.CrossRef

Zhang, J., & Silvescu, A., & Honavar, V. (2002). Ontology-driven induction of decision trees at multiple levels of abstraction. In: S. Koenig & R. C. Holte (Eds.), Paper presented at the symposium on abstraction, reformulation, and approximation: Vol. 2371. Lecture notes in artificial intelligence. Berlin, Germany: Springer

Titel: The Role of Ontologies in Developing Knowledge Technologies
verfasst von: Gunjan Mansingh
Lila Rao
Verlag: Springer US
Buch: Knowledge Management for Development
Print ISBN: 978-1-4899-7391-7

Electronic ISBN: 978-1-4899-7392-4

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-1-4899-7392-4_9

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