IJSSH 2015 Vol.5(2): 178-181 ISSN: 2010-3646
DOI: 10.7763/IJSSH.2015.V5.448

A Fuzzy Ontology-Driven Approach to Semantic Interoperability in e-Government Big Data

Andreiwid Sh. Corrêa, Cleverton Borba, Daniel Lins da Silva, and Pedro Corrêa
Abstract—With the increasing production of information from e-government initiatives, there is also the need to transform a large volume of unstructured data into useful information for society. All this information should be easily accessible and made available in a meaningful and effective way in order to achieve semantic interoperability in electronic government services, which is a challenge to be pursued by governments round the world. Our aim is to discuss the context of e-Government Big Data and to present a framework to promote semantic interoperability through automatic generation of ontologies from unstructured information found in the Internet. We propose the use of fuzzy mechanisms to deal with natural language terms and present some related works found in this area. The results achieved in this study are based on the architectural definition and major components and requirements in order to compose the proposed framework. With this, it is possible to take advantage of the large volume of information generated from e-Government initiatives and use it to benefit society

Index Terms—E-government, semantic interoperability, fuzzy, ontology, big data.

Andreiwid Sheffer Correa is with the Computer Engineering Department, University of Sao Paulo, Brazil (e-mail: andreiwid@usp.br).

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Cite: Andreiwid Sh. Corrêa, Cleverton Borba, Daniel Lins da Silva, and Pedro Corrêa, " A Fuzzy Ontology-Driven Approach to Semantic Interoperability in e-Government Big Data," International Journal of Social Science and Humanity vol. 5, no. 2, pp. 178-181, 2015.

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