Indian Journal of Science and Technology

Abstract

Objective: This paper focuses on integration of Semantic Web with E-Governance by developing a blog based portal for feedback to implement machine readable G2C in an automated way which is one of the targets of Government 3.0. Methods: We propose to change the representation system of blog based portals for linking data in accordance with a general schema to make it semantically meaningful for machines to perform queries. Citizen Feedback system is employed as a test case to extract raw data and associated metadata in an automated way without parsing any structure. Ontology is developed to help in identification of entities and interpret user comments. Findings: The proposed architecture will make it possible for machines to automatically extract and report the general feedback from comments given by a large community of users. Current Web 2.0 based portals show that for estimation of feedbacks, each blog needs to be evaluated either manually or by employing parsing techniques using Bag of Words approach. To implement our proposed approach, we have developed a social semantic-based networking system through which citizens give comments on the policies/decisions implemented or decided to be implemented by the Government. The system interprets machine-readable comments and generates a summary to report the overall public opinion on a certain government policy, hence reducing the gap between citizens and government - one of the primary objectives of eGovernment as Government 3.0. The use of W3C compliant framework in our implementation will lead to universal adaptability of system. It has been found that the proposed approach resulted in a more accurate and efficient analysis of user comments as compared to manual and NLP/Text Mining techniques within a restricted domain. Application: The current implementation can also be extended to cover other domains with a little modification in the ontology schema, such as education, finance, and healthcare.

Keywords: Auto Summarization, E-Government, Government 3.0, Ontology, Social Semantic Web