Abstract
We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieval with simplified Conceptual Graph-like structures and compare the results with those of the vector space model. Our semantic representation, combined with a small simplification of the vector space model, gives better results. In order to build Conceptual Graph-like representation, we have developed a grammar based on the dependency formalism and the standard defined for Conceptual Graphs (CG). We used noun pre-modifiers and noun post-modifiers, as well as verb frames, extracted from VerbNet, as a source of definition of semantic roles. VerbNet was chosen since its definitions of semantic roles have much in common with the CG standard. We experimented on a subset of the ImageClef 2008 collection of titles and annotations of medical images.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Amghar, T., Battistelli, D., Charnois, T.: Reasoning on aspectual-temporal information in French within conceptual graphs. In: 14th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2002, pp. 315–322 (2002)
Badia, A., Kantardzic, M.: Graph building as a mining activity: finding links in the small. In: Proceedings of the 3rd International Workshop on Link Discovery LinkKDD 2005, pp. 17–24. ACM, New York (2005)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, Pearson Addison Wesley (1999)
Barbu, E., Heroux, P., Adam, S., Trupin, E.: Clustering document images using a bag of symbols representation. In: Proceedings, Eighth International Conference on Document Analysis and Recognition, vol. 2, pp. 1216–1220 (2005)
Barceló, G., Cendejas, E., Bolshakov, I., Sidorov, G.: Ambigüedad en nombres hispanos. Revista Signos. Estudios de Lingüística 42(70), 153–169 (2009)
Barrière, C., Barrière, N.C.: From a Children’s First Dictionary to a Lexical Knowledge Base of Conceptual Graphs. St. Leonards (NSW): Macquarie Library (1997)
Barski, C.: The enigmatic art of knowledge representation, http://www.lisperati.com/tellstuff/ind-ex.html (accessed March 2010)
Castro-Sánchez, N.A., Sidorov, G.: Analysis of Definitions of Verbs in an Explanatory Dictionary for Automatic Extraction of Actants based on Detection of Patterns. LNCS, vol. 6177, pp. 233–239. Springer, Heidelberg (2010)
Delugach, H.S.: Towards. Conceptual Structures Interoperability Using Common Logic Computer. In: Third Conceptual Structures Tool Interoperability Workshop. Science Department Univ. of Alabama in Huntsville (2008)
Figuerola, G.C., Zazo, F.A., Berrocal, J.L.A.: Categorización automática de documentos en español: algunos resultados experimentales. Universidad de Salamanca, Facultad de Documentación, Salamanca España, 6–16 (2000)
Gelbukh, A., Sidorov, G., Galicia, S., Bolshakov, I.: Environment for Development of a Natural Language Syntactic Analyzer. In: Acta Academia, Moldova, pp. 206–213 (2002)
Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of the National Academy of Sciences 101(suppl. 1), 5228–5235 (2004)
Helbig, H.: Knowledge Representation and the Semantics of Natural Language. Springer, Heidelberg (2006)
Hensman, S.: Construction of Conceptual Graph representation of texts. In: Proceedings of Student Research Workshop at HLT-NAACL, Department of Computer Science, University College Dublin, Belfield, Dublin 4 (2004)
Hensman, S., Dunnion, J.: Automatically building conceptual graphs using VerbNet and WordNet. In: 2004 International Symposium on Information and Communication Technologies, Las Vegas, Nevada, June 16-18. ACM International Conference Proceeding Series, vol. 90, pp. 115–120. Trinity College, Dublin (2004)
Hensman, S., Dunnion, J.: Constructing conceptual graphs using linguistic resources. In: Husak, M., Mastorakis, N. (eds.) Proceedings of the 4th WSEAS International Conference on Telecommunications and Informatics, World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, Prague, Czech Republic, March 13-15, pp. 1–6 (2005)
Hensman, S.: Construction of conceptual graph representation of texts. In: Proceedings of the Student Research Workshop at HLT-NAACL 2004, Boston, Massachusetts, May 02–07. Human Language Technology Conference, pp. 49–54. Association for Computational Linguistics, Morristown (2004)
Hernández Cruz, M.: Generador de los grafos conceptuales a partir del texto en español. MSc thesis. Instituto Politécnico Nacional, Mexico (2007)
Kamaruddin, S., Bakar, A., Hamdan, A., Nor, F.: Conceptual graph formalism for financial text representation. In: International Symposium on Information Technology (2008)
Kipper, K., Korhonen, A., Ryant, N., Palmer, M.: Extending VerbNet with Novel Verb Classes. In: 5th International Conf. on Language Resources and Evaluation, LREC 2006, Genoa, Italy (June 2006), http://verbs.colorado.edu/~mpalmer/projects/verbnet.html
Kovacs, L., Baksa-Varga, E.: Dependency-based mapping between symbolic language and Extended Conceptual Graph. In: 6th International Symposium on Intelligent Systems and Informatics (2008)
Medical Image Retrieval Challenge Evaluation P., http://ir.ohsu.edu/image
Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008), http://www-nlp.stanford.edu/IR-book
National Library of Medicine, National of Institute of Health. United States Unified Medical Language System (UMLS), http://www.nlm.nih.gov/research/umls/about_umls.html (accessed April 2010)
Peltonen, J., Sinkkonen, J., Kaski, S.: Discriminative clustering of text documents. In: 9th International Conference on Neural Information Processing, ICONIP 2002, pp. 1956–1960 (2002)
Pérez-Coutiño, M., Montes-y-Gómez, M., López-López, A.: Applying dependency trees and term density for answer selection reinforcement. In: Peters, C., Clough, P., Gey, F.C., Karlgren, J., Magnini, B., Oard, D.W., de Rijke, M., Stempfhuber, M. (eds.) CLEF 2006. LNCS, vol. 4730, pp. 424–431. Springer, Heidelberg (2007)
Porter, M.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980), http://tartaus.org/~martin/PorterStemmer/
Rassinoux, A.M., Baud, R.H., Scherrer, J.R.: A Multilingual Analyser of Medical Texts Conceptual Structures. In: Proceedings of 2nd International Conference on Conceptual Structures, ICCS 1994, College Park, Maryland, USA, August 16-20 (1994)
Rassinoux, A.M., Baud, R.H., Lovis, C., Wagner, J.C., Scherrer, J.R.: Tuning Up Conceptual Graph Representation for Multilingual Natural Language Processing in Medicine Conceptual Structures: Theory, Tools, and Applications. In: Proceedings of 6th International Conference on Conceptual Structures, ICCS 1998, Montpellier, France (August 1998)
Reddy, K.C., Reddy, C.S.K., Reddy, P.G.: Implementation of conceptual graphs using frames in lead. In: Ramani, S., Anjaneyulu, K.S.R., Chandrasekar, R. (eds.) KBCS 1989. LNCS, vol. 444, pp. 213–229. Springer, Heidelberg (1990)
Rege, M., Dong, M., Fotouhi, F.: Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning. In: Proceedings Sixth International Conference Data Mining ICDM 2006, pp. 532–541 (2006)
Salton, G.: Relevance assessments and Retrieval system evaluation. Information Storage and Retrieval (1969)
Schenker, A., Bunke, H., Last, M., Kandel, A.: A Graph-Based Framework for Web Document Mining. In: Marinai, S., Dengel, A.R. (eds.) DAS 2004. LNCS, vol. 3163, pp. 401–412. Springer, Heidelberg (2004)
Schenker, A., Bunke, H., Last, M., Kandel, A.: Graph-Theoretic Techniques for Web Content Mining. World Scientific Publishing, Singapore (2005)
Shafiei, M., Milios, E.: Latent Dirichlet Co-Clustering. In: Sixth International Conference on, Data Mining (CDM 2006), pp. 542–551 (2006)
Sleator, D., Temperley, D.: Parsing English with a link grammar. In: Third International Workshop on Parsing Technologies (1993)
Sowa, J.F.: Conceptual Graphs. Handbook of Knowledge Representation (2008)
Sowa, J.F., Way, E.C.: Implementing a semantic interpreter using conceptual graphs. IBM Journal of Research and Development 30(1), 57–69 (1986)
Tesnière, L.: Éléments de syntaxe structurale, Klincksieck, Paris (1959)
Williams, R.A.: Computational Effective Document Semantic Representation. In: Digital EcoSystems and Technologies Conference, DEST 2007. IEEE-IES (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ordoñez-Salinas, S., Gelbukh, A. (2010). Information Retrieval with a Simplified Conceptual Graph-Like Representation. In: Sidorov, G., Hernández Aguirre, A., Reyes García, C.A. (eds) Advances in Artificial Intelligence. MICAI 2010. Lecture Notes in Computer Science(), vol 6437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16761-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-16761-4_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16760-7
Online ISBN: 978-3-642-16761-4
eBook Packages: Computer ScienceComputer Science (R0)