Because no single ontology can meet

Posted by Ellie on May 26, 2008 in Ontologies | 0 comments

Modularization Key for the Dynamic Selection of Relevant Knowledge Components Chiara Ghidini and Luciano Serafini. Against this background, the proposed workshop aims to bring together researchers and practitioners to discuss the current state of the and open research problems in ontology modularization and the study of integration and segmentation problems on the other.

Modularization Key for the Dynamic Selection of Relevant Knowledge Components Chiara Ghidini and Luciano Serafini. Requirements for Logical Modules Klaus Luttich, Claudio Masolo and Stefano Borgo. Towards Structural Criteria for Ontology Modularization Heiner Stuckenschmidt.

Therefore, instead of single, centralized ontology, in domains, there are multiple distributed ontologies covering parts of the domain. Carsten Lutz, Dresden University of Technology, Germany Natasha Noy, Stanford University, USA Alan Rector, University of Manchester, UK Luciano Serafini, ITCirst, Italy Michael Sintek, DFKI Kaiserslautern, Germany Heiner Stuckenschmidt, University of Mannheim, Germany Holger Wache, Vrije Universiteit Amsterdam, Netherlands Krzysztof Wecel, Poznan University of Economics, Poland Frank Wolter, University of Liverpool, UK Michael Zakharyaschev, Birbeck College, UK Lei Zhang, IBM China Research Lab, China. Modularization Key for the Dynamic Selection of Relevant Knowledge Components Chiara Ghidini and Luciano Serafini.

Specifically, next generation ontology languages andor tools need to support collaborative construction, selective sharing and use of ontologybased approaches to sharing of information and resources. Therefore, instead of single, centralized ontology, in domains, there are multiple distributed ontologies covering parts of the domain. Constructing large ontologies typically requires collaboration among multiple individuals or groups with expertise in specific areas, with each participant contributing only part of the ontology. Development of Modular Ontologies in CASL Jeff Pan, Luciano Serafini and Yuting Zhao.

linking and importing approaches Collaboratively developing andsharing of ontologies and interontology mappings Identification and analysis of common scenarios for ontology integration or modularization Methodologies for providing semantic guarantees on merged ontologies Methodologies for extracting semantically meaningful modules from large ontologies Selective information sharing between ontology modules Features and limitations of DDLs, Econnections, and PDLs Requirements of modular ontology languages Reconciling inconsistent ontology modules Approaches to distributed reasoning and their soundness, completeness, efficiency Extensions to ontology languages to support modularity Modular ontology tools for collaborative ontology development Case studies, software tools, use cases, and application Open problemsJie Bao and Vasant
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