Recognizing the Structure of Biological Designs in Text Documents

被引:0
|
作者
Lu, Hong [1 ]
Hornback, Andrew [1 ]
Rugaber, Spencer [1 ]
Goel, Ashok K. [1 ]
机构
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
关键词
SYSTEMS;
D O I
10.1007/978-3-031-20418-0_2
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Biologically inspired design entails analogical transfer of design knowledge from natural systems to technological systems. The goal of the Intelligent Biologically Inspired Design (IBID) project is to help engineers build a precise understanding of a biological system described in a text document and thereby acquire biological cases needed for biologically inspired design. In this paper, we describe a novel technique for recognizing the structural elements of a biological system in a text document. IBID's structure recognition technique allows the structural elements in a biological process to be mapped to domain-independent equivalent concepts useful for cross-domain analogical transfer. In a pilot study, we compare the performance of IBID's structure recognition technique with that of human subjects. Our findings suggest that IBID may be able to help non-experts in biology in recognizing structure.
引用
收藏
页码:21 / 37
页数:17
相关论文
共 50 条
  • [41] Text Documents as Social Networks
    Balinsky, Helen
    Balinsky, Alexander
    Simske, Steven J.
    IMAGING AND PRINTING IN A WEB 2.0 WORLD III, 2012, 8302
  • [43] Text localization in color documents
    Nikolaou, N.
    Badekas, E.
    Papamarkos, N.
    Strouthopoulos, C.
    VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1, 2006, : 181 - +
  • [44] Ants in text documents clustering
    Machnik, Lukasz
    Advances in Systems, Computing Sciences and Software Engineering, 2006, : 209 - 212
  • [45] Text location in color documents
    Jain, AK
    Namboodiri, AM
    Jung, K
    DOCUMENT RECOGNITION AND RETRIEVAL X, 2003, 5010 : 249 - 256
  • [46] Text Documents Classification by Associating Terms with Text Categories
    Srividhya, V.
    Anitha, R.
    APPLICATIONS OF SOFT COMPUTING: FROM THEORY TO PRAXIS, 2009, 58 : 223 - +
  • [47] Recognizing biological motion sequences
    Buelthoff, I.
    Sinha, P.
    PERCEPTION, 1995, 24 : 112 - 112
  • [48] IndicOCR: A Pipeline for Recognizing Printed Documents for Indian Languages
    Tulsyan, Krishna
    Flemin, Tessy
    Mondal, Ajoy
    Jawahar, C. V.
    PROCEEDINGS OF 7TH JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MANAGEMENT OF DATA, CODS-COMAD 2024, 2024, : 519 - 522
  • [49] STAPI: An Automatic Scraper for Extracting Iterative Title-Text Structure fromWeb Documents
    Zhang, Nan
    Wilson, Shomir
    Mitra, Prasenjit
    LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2022, : 3461 - 3470
  • [50] Application of Text Mining in Detecting Evidence of Fraud in Text Documents
    Silva, Elcelina
    2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2017,