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Ontology–Based Representation and Query Colour Descriptions from Botanical Documents

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On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE (OTM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3761))

Abstract

A proper representation of the semantics of colour descriptions is necessary when colour information needs to be processed semantically, such as in the area of information integration. Semantics–based methods can help information from different sources to be integrated more easily and make final results more accurate and understandable among different sources. This paper introduces an ontology–based representation of the semantics of colour descriptions. By using a quantitative colour model and a Description Logic (DL) with datatype support, the semantics of a single colour term can be represented. Multiple such terms are then combined to generate the semantics of a complex colour description, which is interpreted by using morpho–syntactic rules derived from the analysis of colour descriptions in botanical documents. A colour reasoner, interacting with the FaCT-DG DL reasoner, can support colour–related queries and give domain–oriented results.

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References

  1. Pan, J.Z., Horrocks, I.: OWL-Eu: Adding Customised Datatypes into OWL. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 153–166. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F. (eds.): L.A.S.: OWL Web Ontology Language Reference (2004), http://www.w3.org/TR/owl-ref/

  3. Pan, J.Z.: Description Logics: Reasoning Support for the Semantic Web. PhD thesis, School of Computer Science, The University of Manchester (2004)

    Google Scholar 

  4. Clapham, A., Tutin, T., Moore, D.: Flora of the British Isles. Cambridge University Press, Cambridge (1987)

    Google Scholar 

  5. Tutin, T.G., Heywood, V.H., Burges, N.A., Valentine, D.H., Moore, D.M.: Flora Europaea. Cambridge University Press, Cambridge (1993)

    Google Scholar 

  6. Gleason, H.: The New Britton and Brown Illustrated Flora of the Northeastern United States and Adjacent Canada. Hafner Publishing Company, New York (1963)

    Google Scholar 

  7. Stace, C.: New Flora of the British Isles. Cambridge University Press, Cambridge (1997)

    Google Scholar 

  8. Wood, M.M., Lydon, S.J., Tablan, V., Maynard, D., Cunningham, H.: Using parallel texts to improve recall in ie. In: Proceedings of Recent Advances in Natural Language Processing (RANLP 2003), Borovetz, Bulgaria, pp. 505–512 (2003)

    Google Scholar 

  9. Actkey (Web Page), http://flora.huh.harvard.edu:8080/actkey

  10. Royal Botanic Gardens, K.: Electronic plant information centre (Published on the Internet), http://www.kew.org/epic/

  11. Wood, M., Lydon, S., Tablan, V., Maynard, D., Cunningham, H.: Populating a database from parallel texts using ontology-based information extraction. In: Meziane, F., Métais, E. (eds.) Proceedings of Natural Language Processing and Information Systems, 9th International Conference on Applications of Natural Languages to Information Systems, pp. 254–264. Springer, Heidelberg (2004)

    Google Scholar 

  12. Wood, M., Wang, S.: Motivation for “ontology” in parallel-text information extraction. In: Proceedings of ECAI 2004 Workshop on Ontology Learning and Population (ECAI-OLP), Poster, Valencia, Spain (2004)

    Google Scholar 

  13. Wache, H., Voegele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., Huebner, S.: Ontology-based integration of information - a survey of existing approaches. In: Proceedings of the IJCAI 2001 Workshop: Ontologies and Information Sharing, Seattle, WA, pp. 108–117 (2001)

    Google Scholar 

  14. Dik, S.C.: Coordination: Its implications for the theory of general linguistics. North-Holland, Amsterdam (1968)

    Google Scholar 

  15. Lammens, J.M.: A computational model of color perception and color naming. Ph.D. thesis, State University of New York (1994)

    Google Scholar 

  16. Berk, T., Brownston, L., Kaufman, A.: A human factors study of color notation systems for computer graphics. Communications of the ACM 25, 547–550 (1982)

    Article  Google Scholar 

  17. U.S. Department of Commerce, National Bureau of Standards: Color: Universal Language and Dictionary of Names. NBS Special Publication 440. U.S. Government Printing Office, Washington D.C. (1976) (S.D. Catalog No. C13.10:440)

    Google Scholar 

  18. Pan, J.Z., Horrocks, I.: Extending Datatype Support in Web Ontology Reasoning. In: Meersman, R., Tari, Z., et al. (eds.) CoopIS 2002, DOA 2002, and ODBASE 2002. LNCS, vol. 2519, pp. 1067–1081. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  19. Pan, J.Z., Horrocks, I.: Web Ontology Reasoning with Datatype Groups. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 47–63. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  20. W3C Mailing List (starts from 2001), http://lists.w3.org/archives/public/www-rdf-logic/

  21. W3C Mailing List (starts from 2004), http://lists.w3.org/archives/public/public-swbp-wg/

  22. Group, J.W.U.P.I.: URIs, URLs, and URNs: Clarifications and Recommendations 1.0 (2001), http://www.w3.org/TR/uri-clarification/ W3C Note

  23. Patel-Schneider, P.F., Hayes, P., Horrocks, I.: OWL Web Ontology Language Semantics and Abstract Syntax. Technical report, W3C, W3C Recommendation (2004)

    Google Scholar 

  24. Fernald, M.: Gray’s Manual of Botany. American Book Company, New York (1950)

    Google Scholar 

  25. Berk, T., Brownston, L., Kaufman, A.: A new color-naming system for graphics languages. IEEE Computer Graphics and Applications 2, 37–44 (1982)

    Article  Google Scholar 

  26. Li, L., Horrocks, I.: A Software Framework For Matchmaking Based on Semantic Web Technology. In: Proc. of the Twelfth International World Wide Web Conference (WWW 2003), pp. 331–339. ACM, New York (2003)

    Chapter  Google Scholar 

  27. Williams, D., Poulovassilis, A.: Combining data integration with natural language technology for the semantic web. In: Proc. Workshop on Human Language Technology for the Semantic Web and Web Services, at ISWC 2003 (2003)

    Google Scholar 

  28. Gaizauskas, R., Wilks, Y.: Information Extraction: Beyond Document Retrieval. In: Computational Linguistics and Chinese Language Processing, vol. 2, pp. 17–60 (1998)

    Google Scholar 

  29. Embley, D., Campbell, D., Liddle, S., Smith, R.: Ontology-based extraction and structuring of information from data-rich unstructured documents. In: Proceedings of International Conference On Information And Knowledge Management, Bethesda, Maryland, USA, vol. 7 (1998)

    Google Scholar 

  30. Maedche, A., Neumann, G., Staab, S.: Bootstrapping an ontology-based information extraction system. studies in fuzziness and soft computing. In: Szczepaniak, P., Segovia, J., Kacprzyk, J., Zadeh, L.A. (eds.) Intelligent Exploration of the Web. Springer, Berlin (2002)

    Google Scholar 

  31. Alani, H., Kim, S., Millard, D.E., Weal, M.J., Hall, W., Lewis, P.H., Shadbolt, N.R.: Automatic ontology-based knowledge extraction from web documents, pp. 14–21. IEEE Intelligent Systems, Los Alamitos (2003)

    Google Scholar 

  32. Ferrucci, D., Lally, A.: UIMA: an architectural approach to unstructured information processing in the corporate research environment. Journal of Natural Language Engineering 10, 327–348 (2004)

    Article  Google Scholar 

  33. Goble, C., Stevens, R., Ng, G., Bechhofer, S., Paton, N., Baker, P., Peim, M., Brass, A.: Transparent access to multiple bioinformatics information sources. IBM Systems Journal Special issue on deep computing for the life sciences 40, 532–552 (2001)

    Google Scholar 

  34. Calvanese, D., Giuseppe, D.G., Lenzerini, M.: Description logics for information integration. In: Kakas, A., Sadri, F. (eds.) Computational Logic: Logic Programming and Beyond. LNCS (LNAI), vol. 2408, pp. 41–60. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  35. Maier, A., Schnurr, H.P., Sure, Y.: Ontology-based information integration in the automotive industry. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 897–912. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  36. Dowty, D.R.: Word Meaning and Montague Grammar. D. Reidel Publishing Co., Dordrecht (1979)

    Google Scholar 

  37. Pan, J.Z.: Reasoning Support for OWL-E (Extended Abstract). In: Proc. of Doctoral Programme in the 2004 International Joint Conference of Automated Reasoning, IJCAR 2004 (2004)

    Google Scholar 

  38. Tresp, C., Molitor, R.: A description logic for vague knowledge. In: Proceedings of the 13th biennial European Conference on Artificial Intelligence (ECAI 1998), Brighton, UK, pp. 361–365. J. Wiley and Sons, Chichester (1998)

    Google Scholar 

  39. Straccia, U.: Transforming fuzzy description logics into classical description logics. In: Alferes, J.J., Leite, J. (eds.) JELIA 2004. LNCS (LNAI), vol. 3229, pp. 385–399. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  40. Stoilos, G., Stamou, G., J.Z.P., V.T., Horrock, I.: A Fuzzy Description Logic for Multimedia Knowledge Representation. In: Proc. of the International Workshop on Multimedia and the Semantic Web (2005)

    Google Scholar 

  41. Gielis, J.: A generic geometric transformation that unifies a wide range of natural and abstract shapes. American Journal of Botany 90, 333–338 (2003)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Manchester, UK

    Shenghui Wang & Jeff Z. Pan

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  1. Shenghui Wang
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  2. Jeff Z. Pan
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Editors and Affiliations

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

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, VIC 3001, Melbourne, Australia

    Zahir Tari

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Wang, S., Pan, J.Z. (2005). Ontology–Based Representation and Query Colour Descriptions from Botanical Documents. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE. OTM 2005. Lecture Notes in Computer Science, vol 3761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575801_22

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  • DOI: https://doi.org/10.1007/11575801_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29738-3

  • Online ISBN: 978-3-540-32120-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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