摘要: Abstract This paper describes a structural document retrieval model which has been designed based on lexical-semantic relationships between index terms and an algorithm of measuring tree-to-tree distance. In this model, documents query statements are structurally coded in order to take into account any hierarchy or ordering among the conceptual coordinates matched by using that cannot be expressed form equation. The proposed compared vector small database results have analyzed precision-recall graph statistical test. Both testing result suggest tends improve effectiveness. However, needs refined more elaborate experiments required further confirm findings.
elsevier.com
sci-hub.se 参考文章(13)
Martin Kay, Karen Sparck Jones, Linguistics and information science ,(1973)
J. F. Sowa, Conceptual Structures: Information Processing in Mind and Machine ,(1983)
Scott E. Fahlman, NETL: A System for Representing and Using Real-World Knowledge ,(1979)
Gerard. Salton, Automatic information organization and retrieval ,(1968)
Gerard Salton, Michael J. McGill, Introduction to Modern Information Retrieval ,(1983)
Jean M. Tague, User-responsive subject control in bibliographic retrieval systems Information Processing and Management. ,vol. 17, pp. 149- 156 ,(1981) , 10.1016/S0306-4573(81)80006-4
Stanley M. Selkow, The tree-to-tree editing problem Information Processing Letters. ,vol. 6, pp. 184- 186 ,(1977) , 10.1016/0020-0190(77)90064-3
Yih-Chen Wang, James Vandendorpe, Martha Evens, Relational thesauri in information retrieval Journal of the American Society for Information Science. ,vol. 36, pp. 15- 27 ,(1985) , 10.1002/ASI.4630360102
C. J. van Rijsbergen, A new theoretical framework for information retrieval international acm sigir conference on research and development in information retrieval. ,vol. 21, pp. 23- 29 ,(1986) , 10.1145/3130348.3130354
Edward A. Fox, Lexical relations ACM SIGIR Forum. ,vol. 15, pp. 5- 36 ,(1980) , 10.1145/1095403.1095404