  Infectious disease outbreak has a significant impact on morbidity, mortality
and can cause economic instability of many countries. As global trade is
growing, goods and individuals are expected to travel across the border, an
infected epidemic area carrier can pose a great danger to his hostile. If a
disease outbreak is recognized promptly, then commercial products and travelers
(traders/visitors) will be effectively vaccinated, and therefore the disease
stopped. Early detection of outbreaks plays an important role here, and beware
of the rapid implementation of control measures by citizens, public health
organizations, and government. Many indicators have valuable information, such
as online news sources (RSS) and social media sources (Twitter, Facebook) that
can be used, but are unstructured and bulky, to extract information about
disease outbreaks. Few early warning outbreak systems exist with some
limitation of linguistic (Urdu) and covering areas (Pakistan). In Pakistan, few
channels are published the outbreak news in Urdu or English. The aim is to
procure information from Pakistan's English and Urdu news channels and then
investigate process, integrate, and visualize the disease epidemic. Urdu
ontology is not existed before to match extracted diseases, so we also build
that ontology of disease.
