Knowledge representations for sensemaking
Name
870304731-MIT.pdf
Description
Full printable version
Size
2.47 MB
Format
Adobe PDF
Checksum (MD5)
f6c9e5c5111856d4473a3850297ee7d3
Author(s)
Nguyen, Hong-Linh Q
Advisor(s)
Boris Katz.
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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