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)
Stock market prediction is an attractive research problem to be investigated. News contents are one of the most important factors that have influence on market. Considering the news impact in analyzing the stock market behavior, leads to more precise predictions and as a result more profitable trades. So far various prototypes have been developed which(More)
Recent disasters proved that despite past experiences and strong disaster management mechanism in disaster-prone countries, life and property losses are still inevitable. Our proposition that is disaster preparedness efforts need more prudent solution in order to reduce life and property losses. This paper investigates the perception of community on the(More)
Agent ontology systems interact with other agents via automated service discovery to share data and provide services on-the-fly. Resources need to be annotated with meta-data so that they can be correctly discovered and invoked. Ontologies provide shared conceptualization of a domain but it's not easy for everyone to agree on the same ontology for a domain.(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)
The semantic analysis and context awareness in data mining can intensively increase results precision. In this research different semantic relatedness functions called “Measure of Semantic Relatedness (MSR)” are discussed and compared. We found that the quality and accuracy of MSRs are different when applied in various contexts. Here we(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)