Skip to main content
SpringerLink
Log in
Book cover

International Conference on Artificial Intelligence: Methodology, Systems, and Applications

AIMSA 2004: Artificial Intelligence: Methodology, Systems, and Applications pp 44–53Cite as

Using an Aligned Ontology to Process User Queries

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3192))

Abstract

Ontologies have been developed for a number of knowledge domains as diverse as clinical terminology, photo camera parts and micro-array gene expression data. However, processing user queries over a set of overlapping ontologies is not straightforward because they have often been created by independent groups of expertise, each of them adopting different configurations for ontology concepts. A project being carried out at the Brazilian Corporation of Agricultural Research has produced ontologies in sub-domains such as beef cattle, dairy cattle, sheep and beans, among others. This paper focuses on an alignment method for these ontologies based on Formal Concept Analysis, a data analysis technique founded on lattice theory, and a strategy for processing user queries.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fernandez-Breis, J., Martinez-Bejar, R.: A Cooperative Framework for Integrating Ontologies. International Journal of Human-Computer Studies (56), 665–720 (2002)

    Google Scholar 

  2. Chalupsky, H.: OntoMorph: A Translation System for Symbolic Knowledge. Principles of Knowledge Representation and Reasoning In: Proceedings of the Seventh International Conference on Knowledge Representation and Reasoning (KR 2000), Breckenridge, Colorado, USA (2000)

    Google Scholar 

  3. Chaudron, L., Maille, N., Boyer, M.: The cube lattice model and its applications. Applied Artificial Intelligence 17, 207–242 (2003)

    Article  Google Scholar 

  4. Cole, R., Eklund, P.: Application of Formal Concept Analysis to Information Retrieval using a Hierarchically Structured Thesaurus. In: Proceedings of the International Conference on Conceptual Graphs (ICCS 1996), University of New South Wales, Sydney, pp. 1-12 (1996)

    Google Scholar 

  5. Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to Map Between Ontologies on the Semantic Web. In: Proceedings of the Eleventh International WWW Conference, Hawaii, US, pp. 662–673 (2002)

    Google Scholar 

  6. Dyvik, H.: Translations as Semantic Mirrors. In: Proceedings of Workshop W13: Multilinguality in the Lexicon II, The 13th Biennial European Conference on Artificial Intelligence (ECAI 1998), Brighton, UK, pp. 24–44 (1998)

    Google Scholar 

  7. FAO (Food and Agriculture Organization of the United Nations): AGROVOC: multilingual agricultural thesaurus. FAO. Rome, p. 612 (1995), http://www.fao.org/agrovoc/

  8. Ganter, B., Wille, R.: Formal Concept Analysis. Springer, Heidelberg (1998)

    Google Scholar 

  9. Gruber, T.R.: Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

  10. Groh, B., Strahringer, S., Wille, R.: TOSCANA-Systems Based on Thesauri. In: Mugnier, M.-L., Chein, M. (eds.) ICCS 1998. LNCS (LNAI), vol. 1453, pp. 127–138. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  11. Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. The Knowledge Engineering Review 18(1), 131 (2003)

    Article  Google Scholar 

  12. Kalfoglou, Y., Schorlemmer, M.: Information-flow-based ontology mapping. In: Meersman, R., Tari, Z., et al. (eds.) CoopIS 2002, DOA 2002, and ODBASE 2002. LNCS, vol. 2519, pp. 1132–1151. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  13. Kay, J., Holden, S.: Automatic Extraction of Ontologies from Teaching Document Metadata. In: Proceedings of the International Conference on Computers in Education (ICCE 2002), Auckland, New Zealand, pp. 1555–1556 (2002)

    Google Scholar 

  14. Kuznetsov, S.O., Obiedkov, S.A.: Comparing performance of algorithms for generating concept lattices. Journal Exp. Theor. Artif. Intell. 14(2-3), 189–216 (2002)

    Article  MATH  Google Scholar 

  15. McGuiness, D.L., Fikes, R., Rice, J., Wilder, S.: An Environment for Merging and Testing Large Ontologies. In: Proceedings of Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR 2000), Breckenridge, Colorado, USA (2000)

    Google Scholar 

  16. Mena, E., Kashyap, V., Illarramendi, A., Sheth, A.: Domain Specific Ontologies for Semantic Information Brokering on the Global Information Infrastructure. In: Proceedings of the 1st International Conference on Formal Ontology in Information Systems (FOIS 1998), pp. 269–283 (1998)

    Google Scholar 

  17. Mitra, P., Wiederhold, G.: An Algebra for the Composition of Ontologies. In: Proceedings of the Workshop on Knowledge Transformation for the Semantic Web. Lyon, France (2002)

    Google Scholar 

  18. Noy, N.F., Musen, M.A.: PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In: Seventeenth National Conference on Artificial Intelligence (AAAI 2000), Austin, TX (2000)

    Google Scholar 

  19. Park, J., Hunting, S.: XML Topic Maps - Creating and Using Topic Maps for the Web, p. 544. Addison-Wesley, Reading (2002)

    Google Scholar 

  20. Priss, U.: Formalizing Botanical Taxonomies. In: Ganter, B., de Moor, A., Lex, W. (eds.) ICCS 2003. LNCS, vol. 2746, pp. 309–322. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  21. Souza, K.X.S., Davis, J., Souza, M.I.F.: Organizing Information for the Agribusiness Sector: Embrapa’s Information Agency. In: Proceedings of, International Conference on Digital Archive Technologies. Taipei: Institute of Information Science - Academia Sinica, pp. 159–169 (2004)

    Google Scholar 

  22. Stumme, G., Madche, A.: FCA-Merge: Bottom-up merging of ontologies. In: Proceedings of the 7th Intl. Conf. on Artificial Intelligence (IJCAI 2001), Seattle, WA, pp. 225–230 (2001)

    Google Scholar 

  23. Stumme, G., Studer, R., Sure, Y.: Towards and Order-Theoretical Foundation for Maintaining and Merging Ontologies In: Proceedings of Referenzmodellierung 2000. Siegen, Germany (2000)

    Google Scholar 

  24. Stumme, G., Taouil, R., Bastide, Y., Pasquier, N., Lakhal, L.: Computing iceberg concept lattices with Titanic. Data & Knowledge Engineering 42, 189–222 (2002)

    Article  MATH  Google Scholar 

  25. Valtchev, P., Hacene, M.R., Huchard, M., Roume, C.: Extracting Formal Concepts out of Relational Data. In: Proceedings of the 4th Intl. Conference Journes de l’Informatique Messine (JIM 2003): Knowledge Discovery and Discrete Mathematics, Metz, France, pp. 37–49 (2003)

    Google Scholar 

  26. Wache, H., Vogele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., Hubner, S.: Ontology-based integration of information - a survey of existing approaches. In: Stuckenschmidt, H. (ed.) IJCAI-01 Workshop: Ontologies and Information Sharing, pp. 108–117 (2001)

    Google Scholar 

  27. Wille, R.: Restructuring Lattice Theory: an Approach Based on Hierarchies of Concepts. In: Rival, I. (ed.) Ordered Sets, pp. 445–470. Reidel, Dordrecht (1982)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Embrapa Information Technology, Cx. Postal 6041, 13.083-886, Campinas, SP, Brazil

    Kleber Xavier Sampaio de Souza

  2. School of Information Technologies, University of Sydney, Madsen Building F09, NSW 2006, Australia

    Kleber Xavier Sampaio de Souza & Joseph Davis

  3. Research supported by Capes grant BEX0687/03-0,  

    Kleber Xavier Sampaio de Souza

Authors
  1. Kleber Xavier Sampaio de Souza
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Joseph Davis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Cisco Systems, Inc, 95134, San Jose, CA, USA

    Christoph Bussler

  2. DERI Innsbruck, University of Innsbruck, Austria

    Dieter Fensel

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sampaio de Souza, K.X., Davis, J. (2004). Using an Aligned Ontology to Process User Queries. In: Bussler, C., Fensel, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2004. Lecture Notes in Computer Science(), vol 3192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30106-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30106-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22959-9

  • Online ISBN: 978-3-540-30106-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation