Knowledge representations for sensemaking
Author(s)Nguyen, Hong-Linh Q
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
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I discuss the lessons learned during the design and implementation of three knowledge representations systems for sensemaking. The focus is on the tension that exists between a knowledge representation's role as a surrogate for the world and its role as a facilitator of computational reasoning. Each system accepts natural language inputs and implements a bidirectional model of sensemaking. One system emphasizes inference while the other two systems emphasize their role as a representation for the world. I discuss the differences between these systems and what gives rise to these differences.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (page 54).
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology
Electrical Engineering and Computer Science.