August 22, 2012
Journal Article

Knowledge Encapsulation Framework for Technosocial Predictive Modeling

Abstract

This paper describes the Knowledge Encapsulation Framework, a suite of tools enabling knowledge inputs (relevant, domain-specific facts) to modeling and simulation projects, as well as other domains that require effective collaborative workspaces for knowledge-based tasks. This framework can capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics, and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss, and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, increasing user trust in and leading to ease of adoption for the collaborative environment.

Revised: September 5, 2012 | Published: August 22, 2012

Citation

Madison M.C., A.J. Cowell, R.S. Butner, A.K. Fligg, A.W. Piatt, L.R. McGrath, and P.C. Ellis. 2012. Knowledge Encapsulation Framework for Technosocial Predictive Modeling. Security Informatics 1. PNWD-SA-9613. doi:10.1186/2190-8532-1-10