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Formalizing ontology reconciliation techniques as a basis for meaningful mediation in service-related tasks

Published: 09 November 2007 Publication History

Abstract

With the advent of Semantic Web, the fast dissemination of ontologies to represent and share information causes a deep impact on knowledge retrieval, as a whole. In this context, the use of different ontologies to express meaning on the same application domain leads to a kind of "Tower of Babel Effect" on the Web, bringing new problems to the communication among different applications. This problem still remains in service-oriented architectures, considering that a same service can be described by the use of different ontologies and standards. Therefore, the urge of an ontology reconciliation approach arises in order to enable communication despite the differences. This paper focuses on providing a formal description of ontology reconciliation techniques, such as merging, alignment and integration, to provide better understanding of how these techniques can be used on the scope of Semantic Web Services Architecture.

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  • (2021)Methodology for Multi-aspect Ontology DevelopmentDecision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management10.1007/978-3-030-73976-8_8(97-109)Online publication date: 17-May-2021
  • (2010)Visual Knowledge Structure Reasoning with Intelligent Topic MapIEICE Transactions on Information and Systems10.1587/transinf.E93.D.2805E93-D:10(2805-2812)Online publication date: 2010
  • (2010)Extended topic map: Knowledge collaborative building for distributed knowledge resource2010 IEEE Network Operations and Management Symposium - NOMS 201010.1109/NOMS.2010.5488449(128-135)Online publication date: Apr-2010

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cover image ACM Conferences
PIKM '07: Proceedings of the ACM first Ph.D. workshop in CIKM
November 2007
184 pages
ISBN:9781595938329
DOI:10.1145/1316874
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 09 November 2007

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Author Tags

  1. Z notation
  2. formal methods
  3. ontology reconciliation
  4. semantic web
  5. service discovery
  6. service selection

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View all
  • (2021)Methodology for Multi-aspect Ontology DevelopmentDecision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management10.1007/978-3-030-73976-8_8(97-109)Online publication date: 17-May-2021
  • (2010)Visual Knowledge Structure Reasoning with Intelligent Topic MapIEICE Transactions on Information and Systems10.1587/transinf.E93.D.2805E93-D:10(2805-2812)Online publication date: 2010
  • (2010)Extended topic map: Knowledge collaborative building for distributed knowledge resource2010 IEEE Network Operations and Management Symposium - NOMS 201010.1109/NOMS.2010.5488449(128-135)Online publication date: Apr-2010

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