-- 发布时间：11/20/2007 5:42:00 PM
-- 奉献刚刚结束的ISWC会议的两篇本体匹配方向的好文
Discovering simple mappings between relational database schemas and ontologies
Wei Hu and Yuzhong Qu (Southeast University, China)
获ISWC Best Paper Award提名, 但是最终失败了, 
Ontologies proliferate with the growth of the Semantic Web. However, most of data on theWeb are still stored in relational databases. Therefore, it is important to establish interoperability between relational databases and ontologies for creating a Web of data. An effective way to achieve interoperability is finding mappings between relational database schemas and ontologies. In this paper, we propose a new approach to discovering simple mappings between a relational database schema and an ontology. It exploits simple mappings based on virtual documents, and eliminates incorrect mappings via validating mapping consistency. Additionally, it also constructs a special type of semantic mappings, called contextual mappings, which is useful for practical applications. Experimental results demonstrate that our approach performs well on several data sets from real world domains.
A Cognitive Support Framework for Ontology Mapping
Sean M. Falconer and Margaret-Anne Storey (University of Victoria, Canada)
ISWC Best Student Paper Award
Ontology mapping is the key to data interoperability in the semantic web. This problem has received a lot of research attention, however, the research emphasis has been mostly devoted to automating the mapping process, even though the creation of mappings often involve the user. As industry interest in semantic web technologies grows and the number of widely adopted semantic web applications increases, we must begin to support the user. In this paper, we combine data gathered from background literature, theories of cognitive support and decision making, and an observational case study to propose a theoretical framework for cognitive support in ontology mapping tools. We also describe a tool called COGZ that is based on this framework.
THX~~