Skip to main content

Towards Management of the Data and Knowledge Needed for Port Integration: An Initial Ontology

  • Conference paper
Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8863))

Included in the following conference series:

Abstract

This paper suggests the use of a common ontology to assist with decision making and data-mining in the port domain. Five novel ontological descriptions that demonstrate how to address issues such as conflicts in terminology are presented. The ontology sketches presented in this paper not only provide a vocabulary for the consensual discussion of the port integration decision and to capture the relevant factors and measurement variables that can be used to manage and uncover new knowledge via data mining.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Halabi Echeverry, A.X., Richards, D.: Addressing Challenges for Knowledge Discovery from Data in the Domain of Seaport Integration. In: Richards, D., Kang, B.H. (eds.) PKAW 2012. LNCS, vol. 7457, pp. 73–85. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  2. Burstein, F., McKemmish, S., Fischer, J., Manaszewicz, R., Malhotra, P.: A Role for Information Portals as Intelligent Support Systems: Breast Cancer Knowledge Online Experience. In: Phillips-Wren, G., Ichalkaranje, N., Jain, L.C. (eds.) Intelligent Decision Making: An Ai-Based Approach, vol. 97, pp. 383–389. Springer, Berlin (2008)

    Google Scholar 

  3. Pomerol, J.C., Adam, F.: Understanding Human Decision Making - A Fundamental Step Towards Effective Intelligent Decision Support. In: PhillipsWren, G., Ichalkaranje, N., Jain, L.C. (eds.) Intelligent Decision Making: An AI-Based Approach. SCI, vol. 97, pp. 3–40. Springer, Heidelberg (2008)

    Google Scholar 

  4. Improving Marine Container Terminal Productivity: Development of Productivity Measures, Proposed Sources of Data, and Initial Collection of Data from Proposed Sources. Technical report. The Tioga Group, Inc., Moraga, CA (2010)

    Google Scholar 

  5. Karacapilidis, N.: An Overview of Future Challenges of Decision Support Technologies. In: Intelligent Decision-making Support Systems, pp. 385–399. Springer, London (2006)

    Chapter  Google Scholar 

  6. Kaza, S., Chen, H.: Public Safety Information Sharing: An Ontological Perspective. In: Chen, H., Brandt, L., Gregg, V., Traunmüller, R., Dawes, S., Hovy, E., Macintosh, A., Larson, C. (eds.) Digital Government, vol. 17, pp. 263–282. Springer US (2008)

    Google Scholar 

  7. Tiwari, P., Itoh, H.: Containerized cargo shipper’s behavior in China: A discrete choice analysis. Journal of Transportation and Statistics 6(1) (2003)

    Google Scholar 

  8. Ruth, T., Flach, G., Weitzel, M.: Semantics-based, strategic planning and composition of intermodal freight transport services in sea port hinterlands. In: Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies. ACM (2011)

    Google Scholar 

  9. Hoxha, J., Scheuermann, A., Bloehdorn, S.: An approach to formal and semantic representation of logistics services. In: Proceedings of the Workshop on Artificial Intelligence and Logistics (AILog), 19th European Conference on Artificial Intelligence (ECAI 2010), Lisbon, Portugal (2010)

    Google Scholar 

  10. Adam, N., Janeja, V., Paliwal, A., Atluri, V., Chun, S., Cooper, J., Schaper, J.: Semantics-Based Threat Structure Mining for Homeland Security. In: Chen, H., Brandt, L., Gregg, V., Traunmüller, R., Dawes, S., Hovy, E., Macintosh, A., Larson, C. (eds.) Digital Government, vol. 17, pp. 307–329. Springer US (2008)

    Google Scholar 

  11. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing?. International Journal of Human-Computer Studies 43(5), 907–928 (1995)

    Article  Google Scholar 

  12. Engers, T., Boer, A., Breuker, J., Valente, A., Winkels, R.: Ontologies in the Legal Domain. In: Chen, H., Brandt, L., Gregg, V., Traunmüller, R., Dawes, S., Hovy, E., Macintosh, A., Larson, C. (eds.) Digital Government, vol. 17, pp. 233–261. Springer US (2008)

    Google Scholar 

  13. Kamel, M., Roudsari, A., Carson, E.: Towards a Semantic Medical Web: HealthCyberMap’s Dublin Core Ontology in Protege-2000. Paper Presented at the Fifth International Protege Workshop. University of Newcastle (2001)

    Google Scholar 

  14. Horridge, M.: A Practical Guide To Building OWL Ontologies Using Protégé 4 and CO-ODE Tools Edition1. The University of Manchester (2011)

    Google Scholar 

  15. Preventis, A.: CHRONOS: A Tool for Handling Temporal Ontologies in Protégé. In: IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE (2012)

    Google Scholar 

  16. Yu, Y., Hunter, J., Reiter, E., Sripada, S.: An approach to generating summaries of time series data in the gas turbine domain. Paper Presented at the International Conference on Info-tech and Info-net, Proceedings, ICII - Beijing (2001)

    Google Scholar 

  17. Rector, A., Drummond, N., Horridge, M., Rogers, J., Knublauch, H., Stevens, R., Wang, H., Wroe, C.: OWL Pizzas: Practical Experience of Teaching OWL-DL: Common Errors & Common Patterns. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds.) EKAW 2004. LNCS (LNAI), vol. 3257, pp. 63–81. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  18. Talley, W.K.: An economic theory of the port. Research in Transportation Economics 16, 43–65 (2006)

    Article  Google Scholar 

  19. Fourgeaud, P.: Measuring port performance. The World Bank (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Halabi-Echeverry, A.X., Richards, D. (2014). Towards Management of the Data and Knowledge Needed for Port Integration: An Initial Ontology. In: Kim, Y.S., Kang, B.H., Richards, D. (eds) Knowledge Management and Acquisition for Smart Systems and Services. PKAW 2014. Lecture Notes in Computer Science(), vol 8863. Springer, Cham. https://doi.org/10.1007/978-3-319-13332-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13332-4_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13331-7

  • Online ISBN: 978-3-319-13332-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics