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Gathering Photos from Social Networks Using Semantic Technologies

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Knowledge Engineering and Semantic Web (KESW 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 518))

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Abstract

We present a system based on a Semantic Web approach to retrieve photos from events, organizations or even related to semantic concepts using context and social information, without require extra annotation work by the publishers. We make use of the knowledge of the system, represented in ontologies and semantic rules, to allow users search using its own terminology.

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References

  1. Berners-Lee, T.: Linked data - design issues (2006). http://www.w3.org/DesignIssues/LinkedData.html

  2. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - the story so far. International Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)

    Article  Google Scholar 

  3. Brickley, D., Miller, L.: FOAF Vocabulary Specification 0.97. Namespace document (January 2010). http://xmlns.com/foaf/spec/20100101.html

  4. Calvanese, D., Lembo, D., Lenzerini, M., Rosati, R.: Data complexity of query answering in description logics. In: Proc. of KR 2006, pp. 260–270. AAAI Press (2006)

    Google Scholar 

  5. Cuenca, B., Horrocks, I., Motik, B., Parsia, B., Patel-Schneider, P., Sattler, U.: OWL 2: The next step for OWL. Web Semantics 6(4), 309–322 (2008)

    Article  Google Scholar 

  6. Hobbs, J.R., Pan, F.: Time ontology in OWL (September 2006). http://www.w3.org/TR/owl-time

  7. Hofweber, T.: Logic and ontology. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy. Spring 2013 edn. (2013)

    Google Scholar 

  8. Lee, W., Bailer, W., Burger, T., Champin, P.A., Evain, J.P., Malaise, V., Michel, T., Sasaki, F., Soderberg, J., Stegmaier, F., Strassner, J.: Ontology for Media Resources 1.0 (February 2012). http://liris.cnrs.fr/publis/?id=5453, w3C Recommendation, http://www.w3.org/TR/mediaont-10/

  9. Manola, F., Miller, E.: RDF primer. W3C Recommendation 10, 1–107 (2004). http://www.w3.org/TR/rdf-primer/

  10. Miller, G.A.: Wordnet: a lexical database for english. Commun. ACM 38(11), 39–41 (1995)

    Article  Google Scholar 

  11. Parsia, B., Sirin, E., Grau, B.C., Ruckhaus, E., Hewlett., D.: Cautiously approaching swrl. Preprint submitted to Elsevier Science (2005). http://www.mindswap.org/papers/CautiousSWRL.pdf

  12. Pease, A., Niles, I., Li, J.: The suggested upper merged ontology: A large ontology for the semantic web and its applications. In: Working Notes of the AAAI-2002 Workshop on Ontologies and the Semantic Web (2002)

    Google Scholar 

  13. Prud’hommeaux, E., Seaborne, A.: Sparql query language for RDF. Latest version available as http://www.w3.org/TR/rdf-sparql-query/ (January 2008). http://www.w3.org/TR/2008/REC-rdf-sparql-query-20080115/

  14. Shaw, R., Troncy, R., Hardman, L.: LODE: Linking open descriptions of events. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds.) ASWC 2009. LNCS, vol. 5926, pp. 153–167. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  15. Sirin, E., Parsia, B., Grau, B., Kalyanpur, A., Katz, Y.: Pellet: A practical OWL-DL reasoner. Web Semantics: Science, Services and Agents on the World Wide Web 5(2), 51–53 (2007)

    Google Scholar 

  16. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years (2000)

    Google Scholar 

  17. Straccia, U., Visco, G.: Dl-media: an ontology mediated multimedia information retrieval system. In: Proceeedings of the International Workshop on Description Logics (DL-07), vol. 250. CEUR, Insbruck (2007)

    Google Scholar 

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Correspondence to M. B. Alves .

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Alves, M.B., Damásio, C.V., Correia, N. (2015). Gathering Photos from Social Networks Using Semantic Technologies. In: Klinov, P., Mouromtsev, D. (eds) Knowledge Engineering and Semantic Web. KESW 2015. Communications in Computer and Information Science, vol 518. Springer, Cham. https://doi.org/10.1007/978-3-319-24543-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-24543-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24542-3

  • Online ISBN: 978-3-319-24543-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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