Automatic Crawling of Information to Address the Disaster Information Management

Abstract

In recent years, the efficiency of sharing and managing
information plays an important role in business recovery
efforts after disaster event. The first issue is that reconstructing
or creating information flow becomes intractable in domains.
The improvement of Crisis Management and Disaster
Recovery techniques are national priorities in the wake of
man-made and nature inflicted. Users are eager to find
valuable information to help them understand the current
disaster situation and recovery status.Data mining and
information retrieval techniques help impacted communities
better understand the current disaster situation and how the
community is recovering. Report characterization techniques
generate brief reviews from a large collection of reports at
different granularity. Probabilistic models with Location
specific resource identification algorithm support dynamically
generating query forms and information dashboard based on
user feedback; and community generation and user
recommendation techniques are adapted to help users identify
potential contacts for report sharing and community
organization.