Skip to main content

Using an Ontology for Multimedia Content Semantics

  • Chapter
  • First Online:
Distributed Systems and Applications of Information Filtering and Retrieval

Part of the book series: Studies in Computational Intelligence ((SCI,volume 515))

  • 484 Accesses

Abstract

In recent years, we witnessed the diffusion and rise in popularity of software platforms for the User Generated Content (UGC) management, especially multimedia objects. These platforms handle a large amount of unclassified information. UGC websites (e.g. YouTube and Flickr) do not force the users to perform classification operations and metadata definitions, leaving space to a logic of free-tags (Folksonomies). We analyzed the standards used in UGC websites for the management of the multimedia contents and their metadata. We defined an ontology to represent the semantics of these multimedia contents, so that in turn the metadata classification can give an unambiguous meaning. In order to unify metadata coming from different sources we defined all rules of mapping toward a structure defined by sources such as YouTube and Flickr. The innovation is in the approach for the formalization of web semantics for multimedia content: we used standards such as Dublin Core, Exif, IPTC and in particular the Adobe XMP standard as a starting point of this domain. With the proposed approach, once can categorize and catalog all non-standard and unclassifiable information inside the ontology, using pre-made schemas.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    http://www.youtube.com

  2. 2.

    http://www.flickr.com

  3. 3.

    http://delicious.com

  4. 4.

    http://www.zooomr.com

  5. 5.

    http://picasa.google.com

  6. 6.

    http://www.w3.org/TR/webont-req

  7. 7.

    http://www.adobe.com/products/xmp

  8. 8.

    http://dublincore.org

  9. 9.

    http://www.ietf.org/rfc/rfc4287.txt

References

  1. Gruber, T.: A translation approach to portable ontology specification. In. Knowledge Acquisition 5, 199–220 (1993)

    Article  Google Scholar 

  2. Swartout, B., Patil, R., Knight, K., Russ, T.: Toward distributed use of large-scale ontologies ontological engineering. In: AAAI-97 Spring Symposium Series, pp. 138–148 (1997)

    Google Scholar 

  3. Gruber, T.: Ontology. In: Liu L., Özsu, M.T. (eds.) Encyclopedia of Database Systems. Springer-Verlag (2008)

    Google Scholar 

  4. Schreiber, ATh, Dubbeldam, B.: Wielemaker, J., Wielinga, B.: Ontology-based Photo Annotation. In. IEEE Intelligent Systems. 16, 66–74 (2001)

    Google Scholar 

  5. Jaimes, A., Smith, J.: Semi-automatic, data- driven construction of multimedia ontologies. In: Proceedings of IEEE International Conference on Multimedia and Expo (ICME), vol. 2 (2003)

    Google Scholar 

  6. Benitez, A., Chang, S.: Automatic multimedia knowledge discovery, summarization and evaluation. IEEE Trans Multimedia 5, 390–402 (2003)

    Article  Google Scholar 

  7. Strintzis, J., Bloehdom, S., Handschuh, S., Staab, S., Simou, N., Tzouvatras, V., Petridis, K., Kompatsiaris, I., Avrithis, Y.: Knowledge representation for semantic multimedia content analysis and reasoning. Proceedings of the European Workshop on the Integration of Knowledge Semantics and Digital Media Technology (2004)

    Google Scholar 

  8. Bertini, M., Cucchiara, R., Del Bimbo, A., Torniai, C.: Video annotation with pictiorally enriched ontologies. Proceedings of IEEE Int’l Conference on Multimedia and Expo. In, In (2005)

    Google Scholar 

  9. Bertini, M., Del Bimbo, A., Torniai, C., Cucchiara, R., Grana, C.: MOM: Multimedia Ontology Manager. A Framework for Automatic Annotation and Semantic Retrieval of Video Sequences. ACM, Santa Barbara California, USA (2006)

    Google Scholar 

  10. Jewell, M.O., Lawrence, K.F., Tuffield, M.M., Prugel-Bennett, A., Millard, D.E., Nixon, M.S., Schraefel, M.C., Shadbolt, N.R.: OntoMedia: An ontology for the representation of heterogeneous Media. Multimedia Information Retrieval Workshop, ACM SIGIR, In (2005)

    Google Scholar 

  11. Dasiopoulou, S., Tzouvaras, V., Kompatsiaris, I., Strintzis, M.G.: Enquiring MPEG-7 based Ontologies. In. Multimedia Tools Applications. 46(2), 331–370 (2010)

    Article  Google Scholar 

  12. Paliouras, G., Spyropoulos, C. D., Tsatsaronis, G. (Eds.). In: Knowledge-Driven Multimedia Information Extraction and Ontology Evolution, Bridging the Semantic Gap. Lecture Notes in Computer Science, vol. 6050, 1st edn, IX, 245 p., ISBN 978-3-642-20794-5 (2011)

    Google Scholar 

  13. Martnez, J.M., Koenen, R., Pereira, F.: MPEG-7: the generic multimedia content description standard, part 1. In. IEEE Multimedia 9, 78–87 (2002)

    Article  Google Scholar 

  14. Adobe Systems Incorporated, Adobe XMP Specifications, additional properties, 2010. http://www.adobe.com/content/dam/Adobe/en/devnet/xmp/pdfs/XMPSpecificationPart2.pdf

  15. Becker, H., Chapman, A., Daviel, A., Kaye, K., Larsgaard, M., Miller, D., Nebert, D., Prout, A., Wolf, M.P.: Dublin Core element: Coverage (1997). http://www.alexandria.ucsb.edu/public-documents/metadata/dc_coverage.html

  16. Hillmann, D.: Using Dublin Core (2004). http://dublincore.org/documents/usageguide

  17. Technical Standardization Committee on AV & IT Storage Systems and Equipment. Exchangeable image file format for digital still cameras: Exif version 2.2. Published by: Standard of Japan Electronics and Information Technology Industries Association (2002). http://www.exif.org/Exif2-2.pdf

  18. IPTC, Information Technology for news Standard Photo Metadata 2008 IPTC Core Specification 1.1 and IPTC Extension Specification 1.0. (2008). http://www.iptc.org/std/photo-metadata/2008/specification/IPTC-Photo-Metadata-2008.pdf

  19. Bray, T., Paoli, J., Sperberg-McQueen, C. M.: Extensible Markup Language (XML) 1.0, W3C Recommendation (1998). http://www.w3.org/TR/1998/REC-xml-19980210

  20. Vander Wal, T.: Folksonomy Coinage and Definition (2007). http://www.vanderwal.net/folksonomy.html

  21. Lassila, O. Swick, R.: Resource Description Framework (RDF): Model and Syntax Specification. Recommendation W3C (1999). http://www.w3.org/TR/REC-rdf-syntax

  22. Brickley, D., Guha, R.V.: Resource Description Framework (RDF) Schema Specification 1.0.W3C Proposed Recommendation (2000). http://www.w3.org/TR/PR-rdf-schema

  23. Noy, N.F., McGuiness, D., L.: Ontology Development 101: A Guide to Creating Your First Ontology. : In: Knowledge Systems. Stanford University, AI Laboratory (2001)

    Google Scholar 

  24. Carroll, J. J., De Roo, J.: OWL Web Ontology Language Test Cases. World Wide Web Consortium (W3C) Recommendation (2004). http://www.w3.org/TR/2004/REC-owl-test-20040210

  25. McGuinness, D.L., Van Harmelen F.: OWL Web Ontology Language Overview. World Wide Web Consortium (W3C) Recommendation (2004). http://www.w3.org/TR/owl-features

  26. Heflin, J.: OWL Web Ontology Language Use Cases and Requirements. World Wide Web Consortium (W3C) Recommentation (2004). http://www.w3.org/TR/webont-req

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giulio Concas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Concas, G., Pani, F.E., Lunesu, M.I., Mannaro, K. (2014). Using an Ontology for Multimedia Content Semantics. In: Lai, C., Giuliani, A., Semeraro, G. (eds) Distributed Systems and Applications of Information Filtering and Retrieval. Studies in Computational Intelligence, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40621-8_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40621-8_7

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40620-1

  • Online ISBN: 978-3-642-40621-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics