Identifying First Responder Communities Using Social Network Analysis (POSTER)

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Abstract:

First responder communities must identify technologies that are effective in performing duties ranging from law enforcement to emergency medical to fire fighting. We aimed to create tools that gather and assist in quickly understanding responders' requirements using semantic technologies and social network analysis. We describe the design and prototyping of a set of semantically-enabled interactive tools that provide a "dashboard" for visualizing and interacting with aggregated data to perform focused social network analysis and community identification.

History

DateCreated ByLink
December 30, 2014
07:57:42
John S. EricksonDownload

Related Projects:

First Responders logoFirst Responders Requirements Metholodology (FirstResponders)
Principal Investigator: Deborah L. McGuinness
Co Investigator: John S. Erickson
Description: The purpose of this project is to design and prototype a requirements-gathering methodology driven by the first responders community. The methodology will include examining the current state of collecting and synthesizing responder requirements, assessing the effectiveness of that process, evaluating existing candidate platforms for use within this community, and producing a roadmap that can be used by NIST and others to achieve a solution enabling the responder community to more effectively dialogue with key stakeholders. A prototype implementation of the methodology will be developed using the roadmap and will be available for testing and evaluation and requirements gathering.

Related Research Areas:

Web Science
Lead Professor: Jim Hendler, Deborah L. McGuinness
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.
Concepts: Semantic Web