Skip to main content
SpringerLink
Log in

Using Natural Language Processing for Semantic Indexing of Scene-of-Crime Photographs

  • Conference paper
  • First Online:
Computational Linguistics and Intelligent Text Processing (CICLing 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2588))

  • 871 Accesses

Abstract

In this paper we present a new approach to the automatic semantic indexing of digital photographs based on the extraction of logic relations from their textual descriptions. The method is based on shallow parsing and propositional analysis of the descriptions using an ontology for the domain of application. We describe the semantic representation formalism, the ontology, and the algorithms involved in the automatic derivation of semantic indexes from texts linked to images. The method has been integrated into the Scene of the Crime Information System, a crime management system for storing, indexing and retrieval of crime information.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Alterman. A Dictionary Based on Concept Coherence. Artificial Intelligence, 25:153–186, 1985.

    Article  Google Scholar 

  2. H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan. GATE: A framework and graphical development environment for robust NLP tools and applications. In Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics, 2002.

    Google Scholar 

  3. R. Gaizauskas and K. Humphreys. XI: A Simple Prolog-based Language for Cross-Classification and Inhetotance. In Proceedings of the 7th International Conference in Artificial Intelligence: Methodology, Systems, Applications, pages 86–95, Sozopol, Bulgaria, 1996.

    Google Scholar 

  4. G. Gazdar and C. Mellish. Natural Language Processing in Prolog. Addison-Wesley, Reading, MA, 1989.

    Google Scholar 

  5. E. Guglielmo and N. Rowe. Natural language retrieval of images based on descriptive captions. ACM Transactions on Information Systems, 14(3):237–267, 1996.

    Article  Google Scholar 

  6. M. Hepple. Independence and commitment: Assumptions for rapid training and execution of rule-based POS taggers. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL-2000), Hong Kong, October 2000.

    Google Scholar 

  7. K. Humphreys, R. Gaizauskas, and H. Cunningham. LaSIE Technical Specifications. Technical report, Department of Computer Science, University of Shefield, 2000.

    Google Scholar 

  8. R. May. Criminal Evidence. Sweet and Maxwell Pbl., 1999.

    Google Scholar 

  9. K. Pastra, H. Saggion, and Y. Wilks. Socis: Scene of crime information system. Technical Report CS-01-19, University of Shefield, 2001.

    Google Scholar 

  10. S. Richardson, W. Dollan, and L. Vanderwende. Mindnet: acquiring and structuring semantic information from text. In Proceedings of COLING, 1998.

    Google Scholar 

  11. T. Rose, D. Elworthy, A. Kotche., and A. Clare. ANVIL: a System for Retrieval of Captioned Images using NLP Techniques. In Proceedings of Challenge of Image Retrieval, Brighton, UK, 2000.

    Google Scholar 

  12. C. Sable and V. Hatzivassiloglou. Text-based approaches for the categorization of images. In Proceedings of ECDL, 1999.

    Google Scholar 

  13. H. Saggion, H. Cunningham, K. Bontcheva, D. Maynard, C. Ursu, O. Hamza, and Y. Wilks. Access to Multimedia Information through Multisource and Multilanguage Information Extraction. In 7th Workshop on Applications of Natural Language to Information Systems (NLDB 2002), Stockholm, Sweden, 2002.

    Google Scholar 

  14. R. Schank and R. Abelson. Scripts, Plans, Goals and Understanding. Lawrence Erlbaum Associates, Publishers, 1977.

    Google Scholar 

  15. R.K. Srihari. Automatic Indexing and Content-Based Retrieval of Captioned Images. Computer, 28(9):49–56, September 1995.

    Article  Google Scholar 

  16. R. Veltkamp and M. Tanase. Content-based image retrieval systems: a survey. Technical Report UU-CS-2000-34, Utrecht University, 2000.

    Google Scholar 

  17. Y. Wilks. A Preferential, Pattern-Seeking, Semantics for Natural Language Inference. Artificial Intelligence, 6:53–74, 1975.

    Article  MATH  Google Scholar 

  18. Y. Wilks. Making Preferences More Active. Artificial Intelligence, 11:197–223, 1978.

    Article  Google Scholar 

  19. Y. Wilks, L. Guthrie, and B. Slator. Electric Words. The MIT Press, Cambridge, MA, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Shefield, England - UK

    Horacio Saggion, Katerina Pastra & Yorick Wilks

Authors
  1. Horacio Saggion
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Katerina Pastra
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yorick Wilks
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Col. Zacatenco, CP 07738, Mexico D.F., Mexico

    Alexander Gelbukh

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Saggion, H., Pastra, K., Wilks, Y. (2003). Using Natural Language Processing for Semantic Indexing of Scene-of-Crime Photographs. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2003. Lecture Notes in Computer Science, vol 2588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36456-0_56

Download citation

  • DOI: https://doi.org/10.1007/3-540-36456-0_56

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00532-2

  • Online ISBN: 978-3-540-36456-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation