Semantic Modeling for Cloud Computing, Part 2

This article discusses the areas in which semantic models can support cloud computing. Semantic models are helpful in three aspects of cloud computing. The first is functional and nonfunctional definitions. The ability to define application functionality and quality-of-service details in a platform-agnostic manner can immensely benefit the cloud community. The second aspect is data modeling. Semantic modeling of data to provide a platform-independent data representation would be a major advantage in the cloud space. The third aspect is service description enhancement.

[1]  Amit P. Sheth,et al.  Semantic Interoperability of Web Services - Challenges and Experiences , 2006, 2006 IEEE International Conference on Web Services (ICWS'06).

[2]  Amit P. Sheth,et al.  Adding Semantics to Web Services Standards , 2003, ICWS.

[3]  Wilson C. Hsieh,et al.  Bigtable: A Distributed Storage System for Structured Data , 2006, TOCS.

[4]  Amit P. Sheth,et al.  Growing Fields of Interest - Using an Expand and Reduce Strategy for Domain Model Extraction , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[5]  Amit P. Sheth,et al.  SA-REST: Semantically Interoperable and Easier-to-Use Services and Mashups , 2007, IEEE Internet Computing.