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Comparing XML Files with a DOGMA Ontology to Generate Ω-RIDL Annotations

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2011 Workshops (OTM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7046))

Abstract

To facilitate the process of annotating data in the DOGMA ontology-engineering framework, we present a method and tool for semi-automatic annotation of XML data using an ontology. XML elements are compared against concepts and their interrelations in the ontology using various metrics at different levels (lexical level, semantic level, structural level, etc.). The result of these metrics are then used to propose the user a series of annotations from XML elements to concepts in the ontology, which are then validated by that user. Those annotations - expressed in Ω-RIDL - are then used to transform data from one format into another format. In this paper, we demonstrate our approach on XML data containing vendor offers in the tourism domain, more precisely holiday packages.

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References

  1. An, Y., Borgida, A., Mylopoulos, J.: Constructing complex semantic mappings between xml data and ontologies. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 6–20. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Castano, S., Ferrara, A., Montanelli, S.: Matching Ontologies in Open Networked Systems: Techniques and Applications. In: Spaccapietra, S., Atzeni, P., Chu, W.W., Catarci, T., Sycara, K. (eds.) Journal on Data Semantics V. LNCS, vol. 3870, pp. 25–63. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. de Moor, A., De Leenheer, P., Meersman, R.: DOGMA-MESS: A Meaning Evolution Support System for Interorganizational Ontology Engineering. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 189–202. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Debruyne, C., Meersman, D., Baert, M., Hansenne, R.: Community driven request for proposals: Applying semantics to match customer purchase intents to vendor offers. In: Proc. of 7th International Conference on Web Information Systems and Technologies (WEBIST 2011). SciTePress (2011)

    Google Scholar 

  5. Dhamankar, R., Lee, Y., Doan, A., Halevy, A.Y., Domingos, P.: iMAP: Discovering complex mappings between database schemas. In: Weikum, G., König, A.C., Deßloch, S. (eds.) SIGMOD Conference, pp. 383–394. ACM, New York (2004)

    Google Scholar 

  6. Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press (1998)

    Google Scholar 

  7. Gruber, T.R.: Toward principles of the design of ontologies used for knowledge sharing. International Journal of Human and Computer Studies 43, 907–928 (1995)

    Article  Google Scholar 

  8. Madhavan, J., Bernstein, P.A., Rahm, E.: Generic schema matching with cupid. In: Apers, P.M.G., Atzeni, P., Ceri, S., Paraboschi, S., Ramamohanarao, K., Snodgrass, R.T. (eds.) VLDB, pp. 49–58. Morgan Kaufmann (2001)

    Google Scholar 

  9. Meersman, R.: Semantic Ontology Tools in IS Design. In: Raś, Z.W., Skowron, A. (eds.) ISMIS 1999. LNCS, vol. 1609, pp. 30–45. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  10. Meersman, R., Dillon, T., Herrero, P. (eds.): OTM 2010. LNCS, vol. 6427, pp. 727–744. Springer, Heidelberg (2010)

    Book  Google Scholar 

  11. Pirrò, G., Euzenat, J.: A semantic similarity framework exploiting multiple parts-of speech. In: [10], pp. 1118–1125

    Google Scholar 

  12. Spyns, P., Meersman, R., Jarrar, M.: Data modelling versus ontology engineering. SIGMOD Record Special Issue 31(4), 12–17 (2002)

    Article  Google Scholar 

  13. Spyns, P., Tang, Y., Meersman, R.: An ontology engineering methodology for DOGMA. Applied Ontology 3(1-2), 13–39 (2008)

    Google Scholar 

  14. Straccia, U., Troncy, R.: oMAP: Combining Classifiers for Aligning Automatically OWL Ontologies. In: Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, J.-Y., Sheng, Q.Z. (eds.) WISE 2005. LNCS, vol. 3806, pp. 133–147. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  15. Trog, D., Tang, Y., Meersman, R.: Towards Ontological Commitments with Ω-RIDL Markup Language. In: Paschke, A., Biletskiy, Y. (eds.) RuleML 2007. LNCS, vol. 4824, pp. 92–106. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Verheyden, P., De Bo, J., Meersman, R.: Semantically Unlocking Database Content through Ontology-based Mediation. In: Bussler, C.J., Tannen, V., Fundulaki, I. (eds.) SWDB 2004. LNCS, vol. 3372, pp. 109–126. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  17. Viyanon, W., Madria, S.K.: Xml-sim-change: Structure and content semantic similarity detection among xml document versions. In: [10], pp. 1061–1078

    Google Scholar 

  18. Winkler, W.E.: The state of record linkage and cur- rent research problems. Statistics of Income Division, Internal Revenue Service Publication R99/04 (1999)

    Google Scholar 

  19. Xu, L., Embley, D.W.: Discovering direct and indirect matches for schema elements. In: Database Systems for Advanced Applications, pp. 39–46. IEEE Computer Society (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Semantics Technology and Applications Research Lab, Vrije Universiteit Brussel, Brussels, Belgium

    Nadejda Alkhaldi & Christophe Debruyne

Authors
  1. Nadejda Alkhaldi
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  2. Christophe Debruyne
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Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussel, Belgium

    Robert Meersman

  2. DEBII, Curtin University of Technology, Technology Park, De Laeter Way, 6102, Bentley, WA, Australia

    Tharam Dillon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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Alkhaldi, N., Debruyne, C. (2011). Comparing XML Files with a DOGMA Ontology to Generate Ω-RIDL Annotations. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2011 Workshops. OTM 2011. Lecture Notes in Computer Science, vol 7046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25126-9_70

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  • DOI: https://doi.org/10.1007/978-3-642-25126-9_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25125-2

  • Online ISBN: 978-3-642-25126-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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