A Knowledge Search Framework for Collaborative Networks

  • Rui J. TramontinJr.
  • Ricardo J. Rabelo
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 243)


Partners in a collaborative network (CN) must interact and share their knowledge. This paper focuses on how the knowledge exchanged in these interactions can be easily and precisely reached by CN partners through an knowledge search framework. In order to improve the search precision, ontologies are used to add metadata (semantic annotations) to documents as well as to provide support for semantic queries. This paper is also concerned to the CN-related requirements not addressed by current information retrieval solutions, like annotations consistency maintenance, multiple ontologies management, ontology mappings management and security issues. The proposed framework is being developed under the scope of the ECOLEAD Project as part of a broader ICT infrastructure for supporting CNs.


Semantic Annotation Collaborative Network Virtual Enterprise Ontology Evolution Ontology Mapping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Bcrncrs-Lcc, T.; Hendler, J.; Lassila, O.; 2001. The Semantic Web. In: Scientific American, May 2001 issue.Google Scholar
  2. 2.
    Camarinha-Matos, L. M.; Afsarmanesh; H., Ollus, M., 2005. ECOLEAD: A Holistic Approach to Creation and Management of Dynamic Virtual Organizations. In: Proceedings of the Sixth IFIP Working Conference on Virtual Enterprises (PRO-VE’05). pp. 3–16.Google Scholar
  3. 3.
    Camarinha-Matos, L. M.; Afsarmanesh, H.; 2006. Collaborative Networks: Value Creation in a Knowledge Society. In: Proceedings of PROLAMAT06, Shanghai, China, 14–16 2006.Google Scholar
  4. 4.
    Chituc, C. M.; Azevedo, A. L.; 2005. Multi-Perspective Challenges on Collaborative Networks Business Environments. In: Proceedings of the Sixth IFIP Working Conference on Virtual Enterprises (PRO-VE’05). pp. 25–32.CrossRefGoogle Scholar
  5. 5.
    Freitas, F.; Stuckenschmidt, H.; Nov., N. F.; 2005. Ontology Issues and Applications. In: Journal of the Brazilian Computer Society, Number 2, Volume 11, November 2005. ISSN 0104–6500.Google Scholar
  6. 6.
    Huber, G. P.; 1991. Organizational learning: The contributing processes and the literatures. Organization Science, pp. 88–115.Google Scholar
  7. 7.
    Kalfoglou, Y.; Schorlemmer, M.; 2003. Ontology Mapping: The State of the Art. In: The Knowledge Engineering Review Journal, 2003.MATHGoogle Scholar
  8. 8.
    Kiryakov, A.; Popov, B.; Ognyanoff, D.; Manov, D.; Kirilov, A.; Goranov, M., 2003. Semantic Annotation, Indexing, and Retrieval. In: 2nd International Semantic Web Conference (ISWC2003).CrossRefGoogle Scholar
  9. 9.
    Köhler, J.; Philippi, S.; Specht, M., Rüegg, A.; 2006. Ontology based text indexing and querying for the semantic web. In: Knowledge-Based Systems, Volume 19, Issue 8, December 2006, pp. 744–754CrossRefGoogle Scholar
  10. 10.
    OntologyMatching; 2006. Scholar
  11. 11.
    Popov, B.; Kiryakov, A.; Kirilov, A.; Manov, D.; Ognyanoff, D.; Goranov, M., 2003. KIM -Semantic Annotation Platform. In: 2nd International Semantic Web Conference (ISWC2003).CrossRefGoogle Scholar
  12. 12.
    Rabelo, R. J.; Gusmeroli, S., Arana, C.; Negellen, T.; 2006. The ECOLEAD ICT Infrastructure for Collaborative Networked Organizations. In: Proceedings of the Seventh IFIP Working Conference on Virtual Enterprises (PRO-VE’06). pp. 451–460.CrossRefGoogle Scholar
  13. 13.
    Reeve, L.; Han, H.; 2005. Survey of semantic annotation platforms. In: SAC ’05: Proceedings of the 2005 ACM symposium on Applied computing. pp. 1634–1638. ACM Press, New York, NY, USA.CrossRefGoogle Scholar
  14. 14.
    Sánchez-Alberca, A.; García-García, R.; Sorzano, C. O. S.; Gutiérrez-Cossío, C., Chagoyen, M.; Fernández-López, M.; 2005. AMON: A Software System for Automatic Generation of Ontology Mappings. In: Workshop on Building and Applying Ontologies for the Sematic Web (BAOSW’05).Google Scholar
  15. 15.
    Si, L.; Callan, J.; 2005. Modeling Search Engine Effectiveness for Federated Search. In: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR ’05). pp. 83–90. ACM Press, New York, NY, USA.CrossRefGoogle Scholar
  16. 16.
    Sowa, G.; Śniezyński, T.; 2007. Technical Report (Deliverable) D61.4b -Security framework and architecture.Google Scholar
  17. 17.
    Stojanovic, N; 2005. On the query refinement in the ontology-based searching for information. In: Information Systems, Volume 30, Issue 7, November 2005, pp. 543–563.CrossRefGoogle Scholar
  18. 18.
    Uren, V.; Cimiano, P.; Iria, J., Handschuh, S.; Vargas-Vera, M.; Motta, E.; Ciravegna, F., 2006. Semantic annotation for knowledge management: Requirements and a survey of the state of the art. In: Journal of Web Semantics. 4(1): 14–28 (2006).CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Rui J. TramontinJr.
    • 1
  • Ricardo J. Rabelo
    • 1
  1. 1.Department of Automation and Systems, GSIGMA - Intelligent Manufacturing Systems GroupFederal University of Santa CatarinaFlorianópolis (SC)Brazil

Personalised recommendations