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Taking Contextual Parameters into Account and Using RDF Patterns for the Semantic Web Image Annotation

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 241))

Abstract

Semantic annotation of web resources presents a solution to pass from traditional web to future semantic web. Indeed, it is a process which allows to formalize extracted interpretations from web resources. In this paper, we present a new method allowing the semantic annotation of web extracted from the web. The originality of our approach lies in two points. The first point is the use of several contextual factors surrounding the image to annotate it. The second point is the construction and the instantiation of RDF (Resource Description Framework) patterns. Each pattern presents a group of information related to threaten domain. In our experimentations,we are interesting to cinema domain.

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Notes

  1. 1.

    A web resource is an entity that can be described on the web. Each resource is identified by a unique URI (Uniform Resource Identifier).

  2. 2.

    http://www.w3.org/tr/2004/rec-rdf-primer-20040210/.

  3. 3.

    http://reverb.cs.washington.edu.

  4. 4.

    http://swip.univ-tlse2.fr/SwipWebClient/welcome.html.

  5. 5.

    http://www.movieontology.org/.

References

  1. Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: a framework and graphical development environment for robust NLP tools and applications. In: The 40th Anniversary Meeting of the Association for Computational Linguistics, ACL 2002 (2002)

    Google Scholar 

  2. Krestel, R., Witte, R., Bergler, S.: Predicate-Argument EXtractor (PAX). In: Proceedings of the First Workshop on New Challenges for NLP Frameworks (2010)

    Google Scholar 

  3. Kahan, J., Koivunen, M.R.: Annotea: an open RDF infrastructure for shared web annotations. In: Proceedings of the 10th International Conference on World Wide Web, New York, pp. 623–632. ACM (2001)

    Google Scholar 

  4. Vlasseva, S., Etzioni, O., Gribble, S.D., McDowell, L.K., Halevy, A.Y., Levy, H., Pentney, W.R., Verma, D.: Mangrove: enticing ordinary people onto the semantic web via instant gratification. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 754–770. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Handschuh, S., Staab, S., Maedche, A.: Cream: creating relational metadata with a component-based, ontology-driven annotation framework. In: Proceedings of the First International Conference on Knwoledge Capture (K-CAP), pp. 76–83 (2001)

    Google Scholar 

  6. Bechhofer, S., Goble, C.: Towards annotation using daml+oil. In: Workshop on Knowledge Markup and Semantic Annotation, Victoria (2001)

    Google Scholar 

  7. Laclavik, M., Hluchý, L., Seleng, M., Ciglan, M.: Ontea: platform for pattern based automated semantic annotation. Comput. Inform. 28(4), 555–579 (2009)

    Google Scholar 

  8. Vargas-Vera, M., Motta, E., Domingue, J., Lanzoni, M., Stutt, A., Ciravegna, F.: MnM: ontology driven semi-automatic and automatic support for semantic markup. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 379–391. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  9. Popov, B., Kiryakov, A., Kirilov, A., Manov, D., Ognyanoff, D., Goranov, M.: Kim semantic annotation platform. J. Nat. Lang. Eng. 10(3–4), 375–392 (2004)

    Article  Google Scholar 

  10. Kogut, P., Holmes, W.: Aerodaml: applying information extraction to generate daml annotations from web pages. In: First International Conference on Knowledge Capture (K-CAP 2001), Workshop on Knowledge Markup and Semantic Annotation (2001)

    Google Scholar 

  11. Li, J., Wang, J.Z.: Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1075–1088 (2003)

    Article  Google Scholar 

  12. Cusano, C., Ciocca, G., Schettini, R.: Image annotation using SVM. Proc. SPIE 5304, 330–338 (2004)

    Article  Google Scholar 

  13. Halaschek-wiener, C., Golbeck, J., Schain, A., Parsia, B., Hendler, J.: Annotation and provenance tracking in semantic web photo libraries. In: International Provenance and Annotation Workshop. Chicago, pp. 82–89 (2006)

    Google Scholar 

  14. Bellini, P., Bruno, I., Nesi, P.: Exploiting intelligent content via AXMEDIS/MPEG-21 for modelling and distributing news. Int. J. Softw. Eng. Knowl. Eng. 21(1), 3–32 (2011)

    Article  Google Scholar 

  15. Arndt, R., Vacura, M., Staab, S., Hardman, L., Troncy, R.: COMM: designing a well-founded multimedia ontology for the web. In: Aberer, K., et al. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 30–43. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Wang, C., Jing, F., Zhang, L., Zhang, H.J.: Content-based image annotation refinement. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, June 2007, pp. 1–8 (2007)

    Google Scholar 

  17. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22(12), 1349–1380 (2000)

    Article  Google Scholar 

  18. Declerck, T., Crispi, C., Contreras, J., Corcho, O.: Text-based semantic annotation servicefor multimedia content in the esperonto project. In: Knowledge-Based Media Analysis for Self-Adaptive and Agile Multi-Media, Proceedings of the European Workshop for the Integration of Knwoledge, Semantics and Digital Media Technology, EWIMT 2004, 25–26 November, 2004, London, UK (2004)

    Google Scholar 

  19. Nguyen, M.T.: Vers une plate-forme d’annotations sémantiques automatiques partir de documents multimédias (2007)

    Google Scholar 

  20. Garofalakis, M., Gionis, A., Rastogi, R., Seshadri, S., Shim, K.: Xtract: a system for extracting document type descriptors from XML documents. SIGMOD Rec. 29(2), 165–176 (2000)

    Article  Google Scholar 

  21. Bourigault, D.: Lexter: a terminology extraction software for knowledge acquisition from texts. In: Proceedings of the 9th Knowledge Acquisition for Knowledge Based System Workshop (1995)

    Google Scholar 

  22. Abacha, A.B., Zweigenbaum, P.: Annotation et interrogation sémantiques de textes médicaux. In: Atelier Web Sémantique Médical 2010 (2010)

    Google Scholar 

  23. Khelif, K., Kefi-Khelif, L., Corby, O.: Une approche pour la gnration dannotations smantiquespartir de textes biomdicaux (2009)

    Google Scholar 

  24. Humphreys, B.L., Lindberg, D.A.: The UMLS project: making the conceptual connection between users and the information they need. Bull. Med. Libr. Assoc. 8(2), 170 (1993)

    Google Scholar 

  25. Gerber, D., Ngomo, A.-C.N.: Extracting multilingual natural-language patterns for RDF predicates. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 87–96. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  26. Pradel, C., Haemmerlé, O., Hernandez, N.: Natural language query translation into SPARQL using patterns. In: Fourth International Workshop on Consuming Linked Data-COLD (2013)

    Google Scholar 

  27. Pradel, C., Haemmerl’e, O., Hernandez, N.: Des patrons modulaires de requtes SPARQL dansle systme SWIP. In: 23eme Journes Francophones dIngnierie des Connaissances (2012)

    Google Scholar 

  28. Gillet, P.: Gnration de patrons de requtes partir dalignements dontologies: application unsystme dinterrogation du web smantique fond sur les patrons (2013)

    Google Scholar 

  29. Jaouachi, R.T., Khemakhem, M.T., Jemaa, M.B., Hernandez, N., Haemmerle, O.: Multi-factor RDF graph based image annotation -application in cinema domain-. In: Fifth International Conference on Web and Information Technologies, ICWIT 2013 (2013)

    Google Scholar 

  30. Porter, M.F.: Readings in Information Retrieval. Morgan Kaufmann Publishers Inc., San Francisco (1997)

    Google Scholar 

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Correspondence to Rim Teyeb Jaouachi .

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Jaouachi, R.T., Khemakhem, M.T., Ben Jemaa, M., Haemmerle, O., Hernandez, N. (2015). Taking Contextual Parameters into Account and Using RDF Patterns for the Semantic Web Image Annotation. In: Hammoudi, S., Maciaszek, L., Teniente, E., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2015. Lecture Notes in Business Information Processing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-29133-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-29133-8_16

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