Fuzzy Semantic Web Ontology Mapping

Author(s):  
Zongmin Ma ◽  
Fu Zhang ◽  
Li Yan ◽  
Jingwei Cheng
Author(s):  
David Mendes ◽  
Irene Pimenta Rodrigues

The ISO/HL7 27931:2009 standard intends to establish a global interoperability framework for healthcare applications. However, being a messaging related protocol, it lacks a semantic foundation for interoperability at a machine treatable level intended through the Semantic Web. There is no alignment between the HL7 V2.xml message payloads and a meaning service like a suitable ontology. Careful application of Semantic Web tools and concepts can ease the path to the fundamental concept of Shared Semantics. In this chapter, the Semantic Web and Artificial Intelligence tools and techniques that allow aligned ontology population are presented and their applicability discussed. The authors present the coverage of HL7 RIM inadequacy for ontology mapping and how to circumvent it, NLP techniques for semi-automated ontology population, and the current trends about knowledge representation and reasoning that concur to the proposed achievement.


2003 ◽  
Vol 18 (1) ◽  
pp. 1-31 ◽  
Author(s):  
YANNIS KALFOGLOU ◽  
MARCO SCHORLEMMER

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mappings has been the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping.


Author(s):  
H. K. Lin ◽  
J. A. Harding ◽  
P. C. Teoh

This paper discusses a semantic web architecture for formation of an extended project team manufacturing system engineering moderator (EEMSEM) which includes four major modules: ontology acquisition, ontology mapping, knowledge acquisition, and design moderation. This collaborative system architecture focuses on how to support information autonomy that allows individual enterprises to keep their own preferred terminology or languages rather than requiring them to adopt a single standardized vocabulary. Different engineering information terminologies are interpreted and automatically connected to the corresponding terminologies through mapping into the mediated ontology model. A case study is provided to demonstrate how the EEMSEM applies its ontology during the moderation of an extended enterprise, supply chain focused project.


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