—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
—E-government, semantic interoperability,
fuzzy, ontology, big data.
Andreiwid Sheffer Correa is with the Computer Engineering Department,
University of Sao Paulo, Brazil (e-mail: email@example.com).
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.