Confidence Management for Learning Ontologies from Dynamic Web Sources

Gerhard Wohlgenannt, Albert Weichselbraun, Arno Scharl, Marta Sabou

2012

Abstract

Dynamic environments require effective update mechanisms for ontologies to incorporate new knowledge. In this position paper we present a dynamic framework for ontology learning which integrates automated learning methods with rapid user feedback mechanism to build and extend lightweight domain ontologies at regular intervals. Automated methods collect evidence from a variety of heterogeneous sources and generate an ontology with spreading activation techniques, while crowdsourcing in the form of Games with a Purpose validates the new ontology elements. Special data structures support dynamic confidence management in regards to three major aspects of the ontology: (i) the incoming facts collected from evidence sources, (ii) the relations that constitute the extended ontology, and (iii) the observed quality of evidence sources. Based on these data structures we propose trend detection experiments to measure not only significant changes in the domain, but also in the conceptualization suggested by user feedback.

References

  1. Ahn, L. and Dabbish, L. (2008). Designing Games with a Purpose. Communications of the ACM, 51(8):58-67.
  2. Alani, H., Harris, S., and O'Neil, B. (2006). Winnowing ontologies based on application use. In Sure, Y. and Domingue, J., editors, ESWC, volume 4011 of Lecture Notes in Computer Science, pages 185-199. Springer.
  3. Cimiano, P., Maedche, A., Staab, S., and Voelker, J. (2009). Ontology learning. In Staab, S. and Rudi Studer, D., editors, Handbook on Ontologies, International Handbooks on Information Systems, pages 245-267. Springer Berlin Heidelberg.
  4. d'Aquin, M., Motta, E., Sabou, M., Angeletou, S., Gridinoc, L., Lopez, V., and Guidi, D. (2008). Towards a New Generation of Semantic Web Applications. IEEE Intelligent Systems, 23(3):20 - 28.
  5. Flouris, G., Plexousakis, D., and Antoniou, G. (2006). Evolving ontology evolution. In Wiedermann, J., Tel, G., PokornÉ, J., Bieliková, M., and Stuller, J., editors, SOFSEM, volume 3831 of Lecture Notes in Computer Science, pages 14-29. Springer.
  6. Haase, P. and Stojanovic, L. (2005). Consistent evolution of owl ontologies. In Proceedings of the Second European Semantic Web Conference, Heraklion, Greece, pages 182-197.
  7. Hearst, M. A. (1992). Automatic acquisition of hyponyms from large text corpora. In COLING, pages 539-545, Nantes, France.
  8. Liu, W., Weichselbraun, A., Scharl, A., and Chang, E. (2005). Semi-automatic ontology extension using spreading activation. Journal of Universal Knowledge Management, 0(1):50-58.
  9. Markotschi, T. and Voelker, J. (2010). Guess What?! Human Intelligence for Mining Linked Data. In Proceedings of the Workshop on Knowledge Injection into and Extraction from Linked Data (KIELD) at the International Conference on Knowledge Engineering and Knowledge Management (EKAW).
  10. Maynard, D. and Aswani, N. (2010). Bottom-up Evolution of Networked Ontologies from Metadata (NeOn Deliverable D1.5.4).
  11. Maynard, D., Funk, A., and Peters, W. (2009). SPRAT: A Tool for Automatic Semantic Pattern-based Ontology Population. In International Conference for Digital Libraries and the Semantic Web (ICSD-2009), Trento, Italy.
  12. Novacek, V., Laera, L., and Handschuh, S. (2007). Semiautomatic integration of learned ontologies into a collaborative framework. In Proceedings of the International Workshop on Ontology Dynamics (IWOD 2007) at ESWC 2007, Innsbruck, Austria.
  13. Noy, N. F., Chugh, A., Liu, W., and Musen, M. A. (2006). A framework for ontology evolution in collaborative environments. In Cruz, I. F., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., and Aroyo, L., editors, International Semantic Web Conference, volume 4273 of Lecture Notes in Computer Science, pages 544-558. Springer.
  14. Popitsch, N. and Haslhofer, B. (2010). Dsnotify: handling broken links in the web of data. In Rappa, M., Jones, P., Freire, J., and Chakrabarti, S., editors, WWW, pages 761-770. ACM.
  15. Rafelsberger, W. and Scharl, A. (2009). Games with a purpose for social networking platforms. In HT 7809: Proceedings of the 20th ACM conference on Hypertext and hypermedia, pages 193-198, New York, NY, USA. Association for Computing Machinery.
  16. Sabou, M., d'Aquin, M., and Motta, E. (2008). Exploring the Semantic Web as Background Knowledge for Ontology Matching. Journal on Data Semantics, XI.
  17. Siorpaes, K. and Hepp, M. (2008). OntoGame: Weaving the semantic web by online games. In Bechhofer, S., Hauswirth, M., Hoffmann, J., and Koubarakis, M., editors, 5th European Semantic Web Conference (ESWC), volume 5021, pages 751-766. Springer.
  18. Umbrich, J., Hausenblas, M., Hogan, A., Polleres, A., and Decker, S. (2010). Towards dataset dynamics: Change frequency of linked open data sources. In Bizer, C., Heath, T., Berners-Lee, T., and Hausenblas, M., editors, LDOW, volume 628 of CEUR Workshop Proceedings. CEUR-WS.org.
  19. Vrandecic, D., Pinto, H. S., Tempich, C., and Sure, Y. (2005). The diligent knowledge processes. J. Knowledge Management, 9(5):85-96.
  20. Weichselbraun, A., Wohlgenannt, G., and Scharl, A. (2010a). Augmenting lightweight domain ontologies with social evidence sources. In Tjoa, A. M. and Wagner, R. R., editors, 9th International Workshop on Web Semantics, 21st International Conference on Database and Expert Systems Applications (DEXA 2010), pages 193-197, Bilbao, Spain. IEEE Computer Society Press.
  21. Weichselbraun, A., Wohlgenannt, G., and Scharl, A. (2010b). Refining non-taxonomic relation labels with external structured data to support ontology learning. Data & Knowledge Engineering, 69(8):763-778.
  22. Wohlgenannt, G., Weichselbraun, A., and Scharl, A. (2009). Integrating Structural Data into Methods for Labeling Relations in Domain Ontologies. In 20th International Workshop on Database and Expert Systems Application (DEXA-2009); 8th International Workshop on Web Semantics, pages 94-98, Austria.
  23. Zablith, F., d'Aquin, M., Sabou, M., and Motta, E. (2010). Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution. In Cimiano, P. and Pinto, H. S., editors, Proc. of EKAW - Knowledge Engineering and Management by the Masses, volume 6317 of Lecture Notes in Computer Science, pages 226-240. Springer.
  24. Zablith, F., Sabou, M., d'Aquin, M., and Motta, E. (2009). Ontology evolution with evolva. In Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., and Simperl, E. P. B., editors, ESWC, volume 5554 of Lecture Notes in Computer Science, pages 908-912. Springer.
Download


Paper Citation


in Harvard Style

Wohlgenannt G., Weichselbraun A., Scharl A. and Sabou M. (2012). Confidence Management for Learning Ontologies from Dynamic Web Sources . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 172-177. DOI: 10.5220/0004111101720177


in Bibtex Style

@conference{keod12,
author={Gerhard Wohlgenannt and Albert Weichselbraun and Arno Scharl and Marta Sabou},
title={Confidence Management for Learning Ontologies from Dynamic Web Sources},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={172-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004111101720177},
isbn={978-989-8565-30-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - Confidence Management for Learning Ontologies from Dynamic Web Sources
SN - 978-989-8565-30-3
AU - Wohlgenannt G.
AU - Weichselbraun A.
AU - Scharl A.
AU - Sabou M.
PY - 2012
SP - 172
EP - 177
DO - 10.5220/0004111101720177