Computational Knowledge & Information Management in Veterinary Epidemiology

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Computational Knowledge & Information Management in Veterinary Epidemiology

allows automated recognizing of the metadata and structured facts related to the disease outbreaks  collects an average 50000 news articles per day from about 1400 news portals and about 150 specialized Public Health sites  43 languages  current ontology contains 2400 disease names, 400 organisms, 1500 political entities and over 70000 location names including towns, cities, provinces  real-time news clustering and filtering by matching 3000 patterns  does not classify events and does not report past outbreaks.

Statement of Responsibility

Author(s)

K-State National Agricultural Biosecurity Center - Organizational Body

Edition

Call Number

ISBN/ISSN

Subject(s)

Computational Knowledge & Information Management i

Classification

NONE

Series Title

GMD

Management

Language

English

Publisher

Publishing Year

2010

Publishing Place

Collation

1-50

Specific Detail Info

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