Lexical Link Analysis for the Haiti Earthquake Relief Operation Using Open Data Sources
Abstract
In the wake of the Haiti earthquake disaster, civil and military organizations engaged in vigorous relief operations to achieve rapid deployment of logistics, transport, security and medical supplies. Organizations involved in the operation collaborated with the expectation of effectiveness. To know that operations were effective - or understanding how to improve their effectiveness - would require sifting through large volumes of communications to understand how various organizations collaborated and to improve future operations. Abstract In this paper, we will report how to leverage "Lexical Link Analysis" (LLA), as one means to achieve "System Self-awareness" (SSA), and develop this as a durable methodology. We consider that the cognitive interface between decision makers and a complex system, (e.g. the organizational behaviors in an interagency operation) may be expressed through lexical link features embedded in documents and communications. The LLA method is composed of lexical analysis and link analysis. Lexical analysis is a form of text mining in which word pairs are extracted from document sets. Link analysis is a network analysis that explores key relationships among objects. We will report how to combine both the LLA and SSA methods to sift through real-life, open source data, applied in this example to Haiti relief operations.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2011
- Accession Number
- ADA547096
Entities
People
- Douglas J. MacKinnon
- Shelley P. Gallup
- Ying Zhao
Organizations
- Naval Postgraduate School