Ontologies are considered a key technology enabling semantic interoperability and integration of data and processes. We are now entering a phase of knowledge system development, in which ontologies are produced in larger numbers and exhibit greater complexity than before. Ontology management infrastructures are needed for the increasing development of semantic applications especially in the corporate semantic web, which comprises the application of semantic technologies in an enterprise environment. This chapter presents a generic system architecture for an ontology management infrastructure that supports the construction of semantic applications. Such an ontology management infrastructure needs to be generic and flexible in its design, comprehensive in its functionality in order to meet the requirements of a wide spectrum of semantic applications. Key component functionalities of an ontology management system are discussed, including ontology mapping, ontology learning, debugging reasoning with inconsistent ontologies, and (structured and unstructured) query answering. An ontology management system architecture which can flexibly build upon existing datas sources and connect to other applications and which — as such — also forms the basis for a wide range of semantically enabled applications is described.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bloehdorn S, Basili R, Cammisa M and Moschitti A (2006). Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity. Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06) (Hong Kong, December 18–22, 2006)
Cilibrasi R and Vitanyi P (2007). The Google similarity distance. IEEE/ACM Transactions on Knowledge and Data Engineering, 2007
Cimiano P and Völker J (2005). Text2Onto — A Framework for Ontology Learning and Data-Driven Change Discovery. Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB), 2005
Cimiano P, Haase P and Heizmann J (2007). Porting Natural Language Interfaces Between Domains: An Experimental User Study with the ORAKEL System. Proceedings of the 12th International Conference on Intelligent User Interfaces (Honolulu, Hawaii, USA, January 28 – 31, 2007). IUI'07. ACM Press, New York, NY, 180–189
Ehrig M and Sure Y (2004). Ontology Mapping — An Integrated Approach. Proceedings of the First European Semantic Web Symposium, Heraklion, Greece, 76–91
Fortuna B, Grobelnik M and Mladenić D (2006a). System for Semi-automatic Ontology Construction, Demo at ESWC 2006, June 11–14, 2006, Budva, Montenegro
Fortuna B, Grobelnik M and Mladenić D (2006b). Background Knowledge for Ontology Construction, Poster at WWW 2006, May 23–26, 2006, Edinburgh, Scotland
Haase P and Motik B (2005). A Mapping System for the Integration of OWL-DL Ontologies. Proceedings of the First International Workshop on Interoperability of Heterogeneous Information Systems (Bremen, Germany, November 4, 2005). IHIS'05. ACM Press, New York, NY, 9–16
Haase P and Völker J (2005). Ontology Learning and Reasoning — Dealing with Uncertainty and Inconsistency. Proceedings of the Workshop on Uncertainty Reasoning for the Semantic Web (URSW), 2005
Huang Z and van Harmelen F (2006). Reasoning with Inconsistent Ontologies: Evaluation, SEKT Deliverable D3.4.2
Huang Z, van Harmelen F and ten Teije A. (2005). Reasoning with Inconsistent Ontologies. Proceedings of IJCAI'05
Reiter R (1987). A theory of diagnosis from first principles. Artificial Intelligence, 32(1):57–95
Schlobach S and Cornet R (2003). Non-Standard Reasoning Services for the Debugging of Description Logic Terminologies. Proceedings of IJCAI'03, Morgan Kaufmann
Schlobach S and Huang Z (2007). Inconsistent Ontology Diagnosis and Repair, SEKT Deliverable D3.6.3
Shvaiko P and Euzenat J (2005). A survey of schema-based matching approaches. Journal on Data Semantics IV, 4(LNCS 3730):146–171
Völker J, Hitzler P and Cimiano P (2007a). Acquisition of OWL DL Axioms from Lexical Resources. Proceedings of the 4th European Semantic Web Conference (ESWC'07). Springer
Völker J, Vrandecic D, Sure Y and Hotho A (2007b). Learning Disjointness. Proceedings of the 4th European Semantic Web Conference (ESWC), 2007
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Bloehdorn, S. et al. (2009). Ontology Management. In: Davies, J., Grobelnik, M., Mladenić, D. (eds) Semantic Knowledge Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88845-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-88845-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88844-4
Online ISBN: 978-3-540-88845-1
eBook Packages: Computer ScienceComputer Science (R0)