I-Dialogue: information extraction from informal discourse

  • Authors:
  • Zhen Yin;Renate Fruchter

  • Affiliations:
  • Stanford University, Department of Civil and Environmental Engineering, 94305-4020, Stanford, CA, USA;Stanford University, Department of Civil and Environmental Engineering, 94305-4020, Stanford, CA, USA

  • Venue:
  • AI & Society
  • Year:
  • 2007

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Abstract

Speech is a fundamental means of human communication. Design and construction are social activities. We argue that designers and builders generate and develop concepts through dialogue. These communicative events are typically not captured. Consequently, knowledge transfer and reuse opportunities are missed. Our objective is to capture and mine rich, contextual, social communicative events for further knowledge reuse. We present a methodology and prototype called I-Dialogue that: (1) captures the knowledge generated during informal communicative events through dialogue, sketching and gestures in the form of unstructured digital design knowledge corpus; (2) adds structure to the unstructured digital knowledge corpus; and (3) processes the corpus using an innovative notion disambiguation algorithm in support of knowledge retrieval. The paper concludes with results of evaluation experiments with I-Dialogue using a testbed of design–construction projects.