Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired Design

@inproceedings{Rugaber2016KnowledgeEA,
  title={Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired Design},
  author={Spencer Rugaber and Shruti Bhati and Vedanuj Goswami and Evangelia Spiliopoulou and Sasha Azad and Sridevi Koushik and Rishikesh Kulkarni and Mithun Kumble and Sriya Sarathy and Ashok K. Goel},
  booktitle={ICCBR},
  year={2016}
}
  • Spencer Rugaber, Shruti Bhati, +7 authors Ashok K. Goel
  • Published in ICCBR 2016
  • Computer Science
  • Biologically inspired design (BID) is a methodology for designing technological systems by analogy to designs of biological systems. Given that knowledge of many biological systems is available mostly in the form of textual documents, the question becomes how can we extract design knowledge about biological systems from textual documents for potential use in designing engineering systems? In earlier work, we described how annotating biology articles with partial Structure-Behavior-Function… CONTINUE READING

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