Semantic technology for enabling logistics innovations – towards Intelligent Cargo in the Physical Internet

References

• Kuei CK, Madu CN, Lin C, et al. Developing supply chain strategies based on the survey of supply chain quality and technology management. Int. J. Qual. Reliab. Manage. 2012;19(7):889–901.
   Google Scholar
• Ping M, Peng Y, Chen H. Post-seismic supply chain risk management: a system dynamics disruption analysis approach for inventory and logistics planning. Comput. Oper. Res. February 2014;42:14–24.
   Web of Science ®Google Scholar
• Behdani B, Fan Y, Wiegmans B, Zuidwijk R. Multimodal schedule design for synchromodal freight transport systems. Breda: Information Systems Logistics And Supply Chain; 2014.
   Google Scholar
• Montreuil B. Towards a physical internet: meeting the global logistics sustainability grand challenge. Logistics Res. 2011;3(2-3):71–87 12 Feb.
   Google Scholar
• Hofman W, Rajagopal M. A technical framework for data sharing. J. Theor. Appl. Electron. Commerce. 2014;9(3):44–57.
   Web of Science ®Google Scholar
• Zuiderwijk A, Helbig N, Gil-Garcia J, et al. Guest editors' introduction. Innovation through open data: a review of the state-of-the-art and an emerging research agenda. J. Theor. Appl. Electron. Commerce Res. 2014;9(2).
   Web of Science ®Google Scholar
• Eckartz S, Hofman WJ, van Veenstra, AF. A Decision Model for Data Sharing. eGov2014. Dublin: Springer-Verlag; 2014.
   Google Scholar
• Erl T. Service Oriented Architecture - concepts, technology and design. New York (NY): Prentice-Hall; 2005.
   Google Scholar
• Pedersen JT. One common framework for information and communication systems in transport and logistics: facilitating interoperability. Sustainable transport, ecoproduction. In: P. Golinska and M. Hajdul, editor. Environmental issues in logistics and manufacturing. Heidelberg: Springer-Verlag; 2012. p. 165–196.
   Google Scholar
• Hofman WJ. Applying semantic web technology to interoperability in freight logistics. e-Freight2011. Munich; 2011.
   Google Scholar
• Piprani B, Ernst D. A model for Data Quality Assessment. On the Move to Meaningful Internet Systems: OTM 2008 Workshops. 2008.
   Google Scholar
• Sletten B. Resource-oriented architectures: being "in the web". Beautiful architectures-leading thinkers reveal the hidden beauty in software design. O'Reilly Media; 2009. p. 89–110.
   Google Scholar
• Dalmolen S, Cornelisse E, Stoter A, Hofman WJ, Bastiaansen HJM, Punter LM, Knoors F. Improving sustainability through intelligent cargo and adaptive decision making. eFreight2012. Delft; 2012.
   Google Scholar
• Hofman WJ. Federated platforms for seamless interoperability in the physical internet. Second International Physical Internet Conference; 2015; Paris.
   Google Scholar
• Wang W, Tolk A, Wang W. The levels of conceptual interoperability model: applying systems engineering principles to M&S. Spring Simulation Multiconference; 2009.
   Google Scholar
• Hitzler P, Krotzsch M, Rudoloph S. Foundations of Semantic Web Technologies. Boca Raton: CRC Press; 2010.
   Google Scholar
• Hofman WJ. Control tower architecture for multi- and synchromodal logistics with real time data. Breda: ILS2014; 2014.
   Google Scholar
• Aerts A, Alblas G, van Hee K. Conceptual modeling of information systems (in Dutch). Academic Service. 1991.
   Google Scholar
• Overbeek S, Klievink B, Heskhet D, Heijman F, Tan YH. A Web-based data pipeline for compliance in International Trade. Delft: WITNESS workshop; 2011.
   Google Scholar
• Huemer C, Liegl P, Motal T, Schuster R, Zapletal M. The development process of the UN/Cefact modeling methodology. 10th Int. Conf. on Electronic Commerce (IEC); 2008; Innsbruck, Austria.
   Google Scholar
• World Customs Organization. WCO Data model - cross border transactions on the fast track. World Customs Organiz. 2010.
   Google Scholar
• Euzenat J, Shvaiko P. Ontology matching. Berlin Heidelberg: Springer; 2010.
   Google Scholar
• Brade M, Schneider F, Salmen A, Groh R. OntoSketch: towards digital sketching as a tool for creating and extending ontologies for non-experts. i-Know '13; 2013; Graz, Austria.
   Google Scholar
• Commission European. Digital agenda: Turning government data into gold. Brussels: European Commission; 2011.
   Google Scholar
• Thomas G. Alpha males and data disaster. Burlington: Brass Cannon Press; 2006.
   Google Scholar
• Lagendijk IL, Erkin Z, Barni M. Encrypted Signal Processing for Privacy Protection. IEEE Signal Process. Mag. 2013;82: 82–105. January.
   Web of Science ®Google Scholar
• Pruksasri P, van den Berg Hofman JW, Deskapan S. Multi-level access control in the data pipeline of the international supply chain system. Macau: iCETS; 2013.
   Google Scholar
• Weber K, Otto B, Osterle H. One size does not fit all - a contingency approach to data governance. ACM J. Data Inf Qual. 2009;1(1).
   Google Scholar
• Spohrer JKS. Service Science, Management, Engineering, and Design (SSMED) - An emerging discipline - outline and references. In: Wang J, editor. Information systems and new applications in the service sector: models and methods. Hershey: IGI Global; 2009 May. p. 194–226.
   Google Scholar
• Dietz J. Enterprise ontology. Theory and methodology. Berlin Heidelberg: Springer-Verlag; 2006.10.1007/3-540-33149-2
   Google Scholar
• Hofman WJ. Runtime logistic process orchestration based on business transaction choreography. Talinn: Business Process Management - Process Aware Logistic Systems workshop; 2012.
   Google Scholar
• Williamson O. Markets and Hierarchies: analysis and antitrust implications. New York (NY): Free Press; 1975.
   Google Scholar
• Business Process Modeling notation (BPMn). Version 2.0. Object Management Group; 2011. http://www.omg.org
   Google Scholar
• Consultrans. ICT and e-Business Impact in the Transport & Logistics Industry - a sectoral e-Business watch study. Brussels: European Commission, DG Enterprise & Industry; 2008.
   Google Scholar
• Otero-Cerdeira L, Rodriguez-Martinez FJ, Gomez-Rodriguez A. Ontology matching: a literature overview. Expert Syst. Appl.. 2015;42:949–971.10.1016/j.eswa.2014.08.032
   Web of Science ®Google Scholar
• Merrienboer S, Veenstra AW, van der Haak W, Tavasszy L. Using floating truck data to optimise port logistics. 10th Intelligent Transport Systems European Congress (ITS2014).
   Google Scholar
• Endsley MR. Toward a theory of situation awareness in dynamic systems. Human Factors: J. Human Factors Ergon. Soc. 1995;37(1):32–64.10.1518/001872095779049543
   Web of Science ®Google Scholar
• Gong J, Mitchell JE, Krishnamurthy A, Wallace WA. An interdependent layered network model for a resilient supply chain. Omega. 2013;46:104–116.
   Web of Science ®Google Scholar