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Information Retrieval with Conceptual Graph Matching

by: Manuel Montes-y-Gómez, Aurelio López-López, and Alexander Gelbukh

In: Proc. DEXA-2000, Nr. 1873Springer-Verlag (2000) , p. 312-321.

Abstract

The use of conceptual graphs for the representation of text contents in information retrieval is discussed. A method for measuring the similarity between two texts represented as conceptual graphs is presented. The method is based on well-known strategies of text comparison, such as Dice coefficient, with new elements indroduced due to the bipartite nature of the conceptual graphs. Examples of the representation and comparison of the phrases are given. The structure of an information retrieval system using two-level document representation, traditional keywords conceptual graphs, is presented.

BibTeX record

@inproceedings{Montes:2000,
  abstract = {The use of conceptual graphs for the representation of text contents in information retrieval is discussed. A method for measuring the similarity between two texts represented as conceptual graphs is presented. The method is based on well-known strategies of text comparison, such as Dice coefficient, with new elements indroduced due to the bipartite nature of the conceptual graphs. Examples of the representation and comparison of the phrases are given. The structure of an information retrieval system using two-level document representation, traditional keywords conceptual graphs, is presented.},
  added-at = {2007-12-14T02:44:10.000+0100},
  author = {{Montes-y-G{\'o}mez}, Manuel and L{\'o}pez-L{\'o}pez, Aurelio and Gelbukh, Alexander},
  biburl = {http://www.bibsonomy.org/bibtex/246ca669c1a9508c05bb687945dbc5407/diego_ma},
  booktitle = {Proc. DEXA-2000},
  interhash = {ad82a928180ef0ca8f7bcdb285c5f042},
  intrahash = {46ca669c1a9508c05bb687945dbc5407},
  keywords = {inf_retrieval semantic_closeness},
  number = 1873,
  pages = {312-321},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Computer Science},
  timestamp = {2007-12-14T02:44:10.000+0100},
  title = {Information Retrieval with Conceptual Graph Matching},
  year = 2000
}

Endnote record