Adaptive Ontology based on Cross Phrase Identification in e-Government

I Wayan Ordiyasa, Lukito Edi Nugroho, Paulus Insap Santosa, Wahyudi Kumorotomo


Currently, the implementation of interoperability in e-Government services becomes very crucial. It is the connection of different systems and different schema of applications managed by different administrations. The system is very important in supporting e-Government for achieving good services. Therefore, it has to ensure good quality of services. Discrepancies in data and system structure have caused problems to interlink between systems. In this paper, we propose a method for cross-phrase identification of semantic relation based on word similarity measurement and morposemantic relations for e-Government services. It will solve the interoperability of e-Government services using heterogeneity data to make adaptive ontology.


Adaptive Ontology; Cross Phrase; EGovernment; Interoperability;

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