Paper Info
Title
A Dynamic Ontology Mapping Architecture for a Grid Database System.
Abstract
Most large-scale heterogeneous distributed computing systems, such as Grids, rely on Service Oriented Architectures (SOA) to interact with others in different platforms and computing languages. However, we still need to solve the semantic heterogeneity problem of data; we must interpret the data from different systems in some semantically related ways. Ontologies are the most common and well-accepted methodology to handle this problem at multiple levels of granularities across different systems. Nevertheless, using ontologies in a dynamic environment, such as a Grid, to share some common concepts is still a challenge. It is difficult to keep a static mapping between ontologies; the corresponding semantic mapping changes must occur consistently. Therefore, we adopt the concept of Tuple Space and propose a flexible approach for managing ontologies in a Grid. It enables systems and users to interoperate semantically and dynamically by sharing and managing the concepts and semantic ontology mappings in a flexible approach.
Year
DOI
Venue
2008
10.1109/SKG.2008.49
SKG
Keywords
Field
DocType
Web services,distributed databases,grid computing,ontologies (artificial intelligence),software architecture,computing languages,dynamic ontology mapping architecture,grid database system,large-scale heterogeneous distributed computing systems,semantic ontology mappings,service oriented architectures,static mapping,Grid,Ontology mapping
Tuple space,Ontology (information science),Semantic integration,Data mining,Grid computing,Semantic mapping,Computer science,Semantic grid,Semantic heterogeneity,Database,Grid,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.35
6
Authors
4
Name
Order
Citations
PageRank
Nelson C. N. Chu151.33
Quang M. Trinh2211.80
Ken E. Barker310.69
Reda Alhajj41919205.67