Adaptive Ontology based on Cross Phrase Identification in e-Government

Authors

  • I Wayan Ordiyasa Department of Electrical Engineering and Information Technology, Gadjah Mada University, Grafika Street 2 Yogyakarta – 55281, Bulak Sumur, Sleman, Yogyakarta, Indonesia.
  • Lukito Edi Nugroho Department of Electrical Engineering and Information Technology, Gadjah Mada University, Grafika Street 2 Yogyakarta – 55281, Bulak Sumur, Sleman, Yogyakarta, Indonesia.
  • Paulus Insap Santosa Department of Electrical Engineering and Information Technology, Gadjah Mada University, Grafika Street 2 Yogyakarta – 55281, Bulak Sumur, Sleman, Yogyakarta, Indonesia.
  • Wahyudi Kumorotomo Department of Management and Public Policy Gadjah Mada University, UGM Campus, Bulak Sumur, Sleman, Yogyakarta, Indonesia

Keywords:

Adaptive Ontology, Cross Phrase, EGovernment, Interoperability,

Abstract

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.

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Published

2018-02-19

How to Cite

Ordiyasa, I. W., Nugroho, L. E., Santosa, P. I., & Kumorotomo, W. (2018). Adaptive Ontology based on Cross Phrase Identification in e-Government. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-9), 93–97. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3882

Issue

Vol. 10 No. 1-9: Breakthrough To Excellence in Communication and Computer Engineering V

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)