Saravanan Muthaiyah

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Achieving interoperability in e-government services with two modes of semantic bridging: SRS and SWRL Abstract Data heterogeneity in the public sector is a serious problem and remains to be a key issue as different naming conventions are used to represent similar data labels. The e-government effort in many countries has provided a platform for government(More)
This paper addresses the specification of a security policy ontology framework to mediate security policies between virtual organizations (VO) and real organizations (RO). The goal is to develop a common domain model for security policy via semantic mapping. This mitigates interoperability problems that exist due to heterogeneity in security policy data(More)
While there has been a great deal of excitement in view of m-commerce, very little is actually known about conditions and critical success factors for successful introduction of the 3 rd generation mobile network services here in Malaysia. This study investigates the factors for successful diffusion of 3G network services and their role in advancing an(More)
Thispaperhighlightsanend-to-endframeworkand process methodology for developing a consistent knowledge model across enterprises. We demonstrate an improved matching algorithm i.e. the Semantic Relatedness Scores (SRS) and the Semantic Web Rule Language (SWRL) and how they can be coupled together to achieve better reliability and precision in(More)
Massiveness of data on the Web demands automated Knowledge Engineering techniques enabling machines to achieve integrated definition of all available data to make a unique understanding of all discrete data sources. This research deals with Measures of Semantic Similarity resolving foregoing issue. These measures are widely used in ontology alignment,(More)