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ASME Press Select Proceedings
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Editor
C. H. Dagli
C. H. Dagli
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ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

The push for rapid innovation and creativity in this Internet age places a premium on effective integration of both human and computer-generated knowledge. This paper takes the first step towards designing a competent HBGA, which can enable humans to innovate quickly, reliably, and accurately. Specifically, this paper proposes a methodology for discovering building blocks from text documents including reports, chat, transcripts and e-mail. The proposed method has been applied to simple test problems and to a news article set. The results show that the proposed BB-identification methodology is effective and enables humans to effectively exchange the BBs for rapid innovation.

Abstract
1. Introduction
2. Related Research
3. Approach Overview
4. Semantic Group Identification
5. Context-Aware Semantic Building Block Identification
6. Experiments
7 Conclusions
References
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