skip to main content
10.1145/1321440.1321511acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
research-article

Domain knowledge conceptual inter-media indexing: application to multilingual multimedia medical reports

Published: 06 November 2007 Publication History

Abstract

Conceptual Indexing is a way to produce only one index for many multilingual documents. Inter-Media conceptual indexing promotes the use of common concepts between two media in order to use a single index for several media. In this paper we explore such an advance indexing point of view. We show the benefit of an automatic conceptual indexing for texts and its extension for text and image documents. Tests are conducted on the multilingual image and text medical document corpus of the CLEF initiative, where we obtain best results on text in 2005 and 2006, and show promising results on images, and best results for the combination of image and text.

References

[1]
G. Amati, C. Carpineto, and G. Romano. Comparing weighting models for monolingual information retrieval. In Proceedings of CLEF 2003, Trondheim, Norway, 2003.
[2]
G. Amati and C. J. Van Rijsbergen. Probabilistic models of information retrieval based on measuring divergence from randomness. ACM Transactions on Information Systems, 20(4):357--389, 2002.
[3]
G. Amati and C. J. van Rijsbergen. Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Transaction on Information Systems, 20(4):357--389, October 2002.
[4]
A. Aronson. Effective mapping of biomedical text to the UMLS metathesaurus: The MetaMap program. In AMIA, pages 17--21, 2001.
[5]
A. R. Aronson. Metamap: Mapping text to the umls metathesaurus. http://mmtx.nlm.nih.gov/docs.shtml, July 2006.
[6]
A. R. Aronson, T. C. Rindflesch, and A. C. Browne. Exploiting a large thesaurus for information retrieval. In Proceedings of the RIAO 94: Intelligent Multimedia Information Retrieval Systems and Management, pages 197--216, 1994.
[7]
M. Baziz, M. Boughanem, and N. Aussenac-Gilles. Conceptual indexing based on document content representation. In F. Crestani and I. Ruthven, editors, CoLIS, LNCS 3507, volume 3507 of Lecture Notes in Computer Science, pages 171--186. Springer-Verlag, 2005.
[8]
O. Bodenreider and A. T. Mccray. Exploring semantic groups through visual approaches. J. of Biomedical Informatics, 36(6):414--432, 2003.
[9]
J.-P. Chevallet. X-iota: An open xml framework for ir experimentation. application on multiple weighting scheme tests in a bilingual corpus. Lecture Notes in Computer Science (LNCS), AIRS'04 Conference Beijing, 3211:263--280, 2004.
[10]
B. Daille, B. Habert, C. Jacquemin, and J. Royauté. Empirical observation of term variations and principles for their description. Terminology, 3(2):197--257, 1996.
[11]
M. Ferecatu, N. Boujemaa, and M. Crucianu. Hybrid visual and conceptual image representation within active relevance feedback context. In MIR '05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, pages 209--216, New York, NY, USA, 2005. ACM Press.
[12]
Y. Gao and J. Fan. Incorporating concept ontology to enable probabilistic concept reasoning for multi-level image annotation. In MIR '06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval, pages 79--88, New York, NY, USA, 2006.ACM Press.
[13]
J. Goguen. What is a concept ? Lecture Notes in Computer Science: Conceptual Structures: Common Semantics for Sharing Knowledge, pages 52--77, 2005.
[14]
T. Huibers, I. Ounis, and J.-P. Chevallet. Conceptual graph aboutness. In The 4th International Conference on Conceptual Structures (ICCS'96). Lecture Notes in Artificial Intelligence LNAI #1115, Springer-Verlag, ISBN 3-540-61534-2, Sydney, Australia, pages 130--144, August 1996.
[15]
N. Ide and J. Veronis. Introduction to the special issue on word sense disambiguation: the state of the art. Comput. Linguist., 24(1):2--40, 1998.
[16]
C. Jacquemin, J. L. Klavans, and E. Tzoukermann. Expansion of multi-word terms for indexing and retrieval using morphology and syntax. In Proceedings of the 35th annual meeting on Association for Computational Linguistics, pages 24--31, Morristown, NJ, USA, 1997. Association for Computational Linguistics.
[17]
T. Joachims. Learning to Classify Text using Support Vector Machines. Kluwer, 2002.
[18]
D. B. Lenat. Cyc: a large-scale investment in knowledge infrastructure. Commun. ACM, 38(11):33--38, 1995.
[19]
J. Lim and J. Jin. Discovering recurrent image semantics from class discrimination. EURASIP Journal of Applied Signal Processing, 21:1--11, 2006.
[20]
J.-H. Lim and J.-P. Chevallet. Vismed: A visual vocabulary approach for medical image indexing and retrieval. In G. G. Lee, A. Yamada, H. Meng, and S.-H. Myaeng, editors, AIRS, volume 3689 of Lecture Notes in Computer Science, pages 84--96. Springer, 2005.
[21]
J. Lin and D. Demner-Fushman. The role of knowledge in conceptual retrieval: a study in the domain of clinical medicine. In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pages 99--106, New York, NY, USA, 2006. ACM Press.
[22]
D. Lindberg, B. Humphreys, and A. Mccray. The unified medical language system. Methods of Information in Medicine, 32:281--291, 1993.
[23]
H. Liu and P. Singh. Conceptnet a practical commonsense reasoning tool-kit. BT Technology Journal, 22(4):211--226, 2004.
[24]
C. Meghini, F. Sebastiani, U. Straccia, and C. Thanos. A model of information retrieval based on a terminological logic. In SIGIR '93: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, pages 298--307, New York, NY, USA, 1993. ACM Press.
[25]
Y. Qiu and H.-P. Frei. Concept based query expansion. In SIGIR '93: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, pages 160--169, New York, NY, USA, 1993. ACM Press.
[26]
S. E. Robertson and S Walker. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In SIGIR '94: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, pages 232--241, New York, NY, USA, 1994. Springer-Verlag New York, Inc.
[27]
M. Sanderson. Word sense disambiguation and information retrieval. In Proceedings of SIGIR-94, 17th ACM International Conference on Research and Development in Information Retrieval, pages 49--57, Dublin, IE, 1994.
[28]
R. C. Schank, J. L. Kolodner, and G. DeJong. Conceptual information retrieval. In SIGIR, pages 94--116, 1980.
[29]
H. Schmid. Probabilistic part-of-speech tagging using decision trees. In Proceedings of International Conference on New Methods in Language Processing, Sept 1994.
[30]
F. Sebastiani. A probabilistic terminological logic for modelling information retrieval. In WB. Croft and CJ. van Rijsbergen, editors, Proceedings of the 17th ACM International Conference on Research and Development in Information Retrieval (SIGIR'94), pages 122--130, Dublin, IE, 1994. Published by Springer Verlag, Heidelberg, DE.
[31]
C. Stokoe, M. P. Oakes, and J. Tait. Word sense disambiguation in information retrieval revisited. In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, pages 159--166, New York, NY, USA, 2003. ACM Press.
[32]
E. Tzoukermann, J. L. Klavans, and C. Jacquemin. Effective use of natural language processing techniques for automatic conflation of multi-word terms: the role of derivational morphology, part of speech tagging, and shallow parsing. In SIGIR '97: Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval, pages 148--155, New York, NY, USA, 1997. ACM Press.
[33]
C. J. van Rijsbergen. A non-classical logic for information retrieval. The Computer Journal, 29(6):481--485, 1986.
[34]
E. M. Voorhees. Natural language processing and information retrieval. In Information Extraction: Towards Scalable, Adaptable Systems, pages 32--48, London, UK, 1999. Springer-Verlag.

Cited By

View all
  • (2019)Document/Query Expansion based on Selecting Significant Concepts for Context Based Retrieval of Medical ImagesJournal of Biomedical Informatics10.1016/j.jbi.2019.103210(103210)Online publication date: May-2019
  • (2014)A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image RetrievalInformation Retrieval Technology10.1007/978-3-319-12844-3_25(289-301)Online publication date: 2014
  • (2013)Merging words and concepts for medical articles retrievalProceedings of the 10th Conference on Open Research Areas in Information Retrieval10.5555/2491748.2491755(25-28)Online publication date: 15-May-2013
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
November 2007
1048 pages
ISBN:9781595938039
DOI:10.1145/1321440
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2007

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. conceptual indexing
  2. image indexing
  3. inter-media indexing
  4. multilingual text indexing

Qualifiers

  • Research-article

Conference

CIKM07

Acceptance Rates

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

CIKM '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2019)Document/Query Expansion based on Selecting Significant Concepts for Context Based Retrieval of Medical ImagesJournal of Biomedical Informatics10.1016/j.jbi.2019.103210(103210)Online publication date: May-2019
  • (2014)A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image RetrievalInformation Retrieval Technology10.1007/978-3-319-12844-3_25(289-301)Online publication date: 2014
  • (2013)Merging words and concepts for medical articles retrievalProceedings of the 10th Conference on Open Research Areas in Information Retrieval10.5555/2491748.2491755(25-28)Online publication date: 15-May-2013
  • (2013)Revisiting Exhaustivity and Specificity Using Propositional Logic and Lattice TheoryProceedings of the 2013 Conference on the Theory of Information Retrieval10.1145/2499178.2499187(93-100)Online publication date: 29-Sep-2013
  • (2013)A Conceptual Model for Word Sense Disambiguation in Medical Image RetrievalInformation Retrieval Technology10.1007/978-3-642-45068-6_26(296-307)Online publication date: 2013
  • (2013)Revisiting the Term Frequency in Concept-Based IR ModelsProceedings of the 24th International Conference on Database and Expert Systems Applications - Volume 805510.1007/978-3-642-40285-2_8(63-77)Online publication date: 26-Aug-2013
  • (2010)Conceptual Indexing Contribution to ImageCLEF Medical Retrieval TasksImageCLEF10.1007/978-3-642-15181-1_20(381-396)Online publication date: 2010
  • (2010)Use of Language Model, Phrases and Wikipedia Forward Links for INEX 2009Focused Retrieval and Evaluation10.1007/978-3-642-14556-8_12(103-111)Online publication date: 2010
  • (2009)Use of language model, phrases and Wikipedia forward links for INEX 2009Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval10.5555/1881065.1881079(103-111)Online publication date: 7-Dec-2009
  • (2009)Model Fusion in Conceptual Language ModelingProceedings of the 31th European Conference on IR Research on Advances in Information Retrieval10.1007/978-3-642-00958-7_23(240-251)Online publication date: 18-Apr-2009
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media