Skip to main content
SpringerLink
Log in

Towards Ontology-driven Knowledge Synthesis for Heterogeneous Information Systems

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

Information integration enables delivery of the right information to the right user in a timely manner giving manufacturers a competitive edge in today’s global manufacturing market. However, as enterprise information is usually aggregated from a variety of heterogeneous information sources, without using an adequate integration framework it is difficult to extract pertinent information and apply current knowledge to assessing production situations and making informed decisions. This paper investigates a method of facilitating knowledge synthesis in a distributed computing environment. A formal model of domain ontology and knowledge base is presented, which aims at providing a vehicle for representing information and knowledge using a common shared semantics in a given application domain. As a result, a common knowledge representation based architecture is proposed, creating a foundation for establishing a systematic approach for ease of knowledge synthesis in a manufacturing environment

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • D. Blose D. Pillai (2001) ArticleTitleE-manufacturing in semiconductor processing Semiconductor International 7 88–96

    Google Scholar 

  • F. Cummins (2002) Enterprise Integration: An Architecture for Enterprise Application and Systems Integration Wiley Inc. New York

    Google Scholar 

  • Hinman, M. (2002) Spme computational approaches for situation assessment and impact assessment. in Proceedings of the 5th International Conference on Information Fusion, pp. 687–693

  • J. Hjelm (2001) Creating the Semantic Web with RDF Wiley Inc. New York

    Google Scholar 

  • R. Howells (2000) ArticleTitleERP needs shop-floor data Manufacturing Engineering 10 54–62

    Google Scholar 

  • JC (2005) Integration Consortium, http://www.integrationconsortium.org/

  • C. Koch (2001) ArticleTitleWhy your integration efforts end up looking like this ... CIO 15 IssueID4 98–108

    Google Scholar 

  • Marra, R., Jonassen, D. and Knight, P. (1996) Use of expert system generation to promote knowledge synthesis in a meteorology forecasting course. in Proceedings - Frontiers in Education Conference, pp. 475–479

  • Masters, J. (2002) Structured knowledge source integration and its applications to information fusion. in Proceedings of the 5th International Conference on Information Fusion, pp. 1340–1346

  • Maedche, A. (2002) Ontology Learning For the Semantic Web, Kluwer Academic Publishers,

  • MESA (2000) Controls definition & MES to controls data flow possibilities. in MESA International – White Paper Number 3

  • Qiu, R. and Grant, D. (1999) Virtual equipment module—a generic equipment control interface. in Proceedings of the 14th IFAC World Congress, pp. 449–454

  • R. Qiu S. Joshi (1999) ArticleTitleA structured adaptive supervisory control methodology for modeling the control of a discrete event manufacturing system IEEE Transactions on Systems, Man, and Cybernetics. 29 IssueID6 573–586

    Google Scholar 

  • Qiu, R. (2002) A data fusion framework for an integrated plant-wide information system. in Proceedings of the 5th International Conference on Information Fusion, pp. 101–107

  • R. Qiu D. Russell (2004) ArticleTitleA formal model for incorporating shop floor controls in a plant information system International Journal of Advanced Manufacturing Technology 23 IssueID1–2 47–57

    Google Scholar 

  • RDF (2005) Resource Descriptor Framework, http://www.w3c.org.

  • Salerno, J. (2002) Information fusion: a high-level architecture overview. in Proceedings of the 5th International Conference on Information Fusion, pp. 680–686

  • Vat, K. (2003) Toward an actionable framework of knowledge synthesis in the pursuit of learning organization. in Proceedings of Information Science, pp.1085–1100

  • W3C (2005) http://www.w3.org

  • Yoo, M., Sangwan, R. and Qiu, R. (2005) Enterprise integration: methods and technologies, CIO Wisdom II: More Best Practice pp. 107–126 P. Laplante and T. Costello, (eds.), Prentice-Hall

Download references

Author information

Authors and Affiliations

  1. Engineering Division, Penn State Great Valley, Malvern, PA, 19355, USA

    Robin G. Qiu

Authors
  1. Robin G. Qiu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Robin G. Qiu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Qiu, R.G. Towards Ontology-driven Knowledge Synthesis for Heterogeneous Information Systems. J Intell Manuf 17, 99–109 (2006). https://doi.org/10.1007/s10845-005-5515-z

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-005-5515-z

Keywords

Search

Navigation