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Ontological structuring of logistics services

Published: 23 August 2017 Publication History

Abstract

The paradigm of cloud logistics is essentially built upon the virtualization of logistics resources from different logistics service providers. The virtualized resources are pooled and can subsequently be combined and encapsulated within customer-specific modular logistics services. The pooling within bigger logistics networks leads to a high quantity of different available logistics resources and services. Domain-specific structuring with the concept of the logistics service map helps to retrieve specific requested services from that quantity. The structuring of resources and services is a challenging task based on the semantic gap of differing wordings, descriptions used by different providers. The developed ontology design pattern for domain-specific structuring of logistics services can help to close the semantic gap as well as to enable the concept of the logistics service map. Structuring data and information (of services) from different providers can be made available, linked and interchanged easily within the network. Digitalized collaboration is supported and the disruptive paradigm of cloud logistics is enabled.

References

[1]
2012. ADR - European Agreement Concerning the International Carriage of Dangerous Goods by Road: Applicable as from 1 January 2013. United Nations, New York {etc.}.
[2]
Nilesh Anand, Mengchang Yang, J.H.R. van Duin, and Lori Tavasszy. 2012. Gen-CLOn: An ontology for city logistics. Expert Systems with Applications 39, 15 (2012), 11944--11960.
[3]
Franz Baader. 2004. The description logic handbook: Theory, implemention, and applications (2. repr ed.). Cambridge Univ. Press, Cambridge {u.a.}.
[4]
Charu Chandra and Armen Tumanyan. 2007. Organization and problem ontology for supply chain information support system. Data & Knowledge Engineering 61, 2 (2007), 263--280.
[5]
Yu-Liang Chi. 2010. Rule-based ontological knowledge base for monitoring partners across supply networks. Expert Systems with Applications 37, 2 (2010), 1400--1407.
[6]
Laura Daniele and Luis Ferreira Pires. 2013. An ontological approach to logistics. In Enterprise Interoperability, Research and Applications in the Service-oriented Ecosystem, IWEI 2013, M. Zelm, M.J. van Sinderen, and G. Doumeingts (Eds.). ISTE Ltd, John Wiley & Sons, Inc, Surrey, UK, 199--213. http://doc.utwente.nl/88351/
[7]
Werner Delfmann and Falco Jaekel. The Cloud - Logistics for the Future? Discussionpaper. (????). http://www.bvl.de/misc/filePush.php?id=18910&name=Discussionpaper+Cloud+Logistis
[8]
Tobias Engel, Manoj Bhat, Venkatesh Vasudhara, Suparna Goswami, and Helmut Krcmar. 2014. An Ontology-based Platform to Collaboratively Manage Supply Chains. In 25th Annual Conference of the Production and Operations Management Society (POMS). 1--10. https://www.pomsmeetings.org/ConfProceedings/051/FullPapers/Final%20Full%20length%20Papers/051-0705.pdf
[9]
Masoud Esmaeilikia, Behnam Fahimnia, Joeseph Sarkis, Kannan Govindan, Arun Kumar, and John Mo. 2014. Tactical supply chain planning models with inherent flexibility: definition and review. Annals of Operations Research (2014).
[10]
M. Fayez, L. Rabelo, and M. Mollaghasemi. 2005. Ontologies for Supply Chain Simulation Modeling. In Winter Simulation Conference, 2005. 2364--2370.
[11]
Marco Franke, Till Becker, Martin Gogolla, Karl A. Hribernik, and Klaus-Dieter Thoben. 2016. Interoperability of Logistics Artifacts: An Approach for Information Exchange Through Transformation Mechanisms. In Dynamics in Logistics, Michael Freitag, Herbert Kotzab, and Jürgen Pannek (Eds.). Springer International Publishing, Cham, 469--479.
[12]
Aldo Gangemi. 2005. Ontology Design Patterns for Semantic Web Content. In The semantic Web - ISWC 2005, Yolanda Gil, Enrico Motta, V. Richard Benjamins, and Mark A. Musen (Eds.). Lecture Notes in Computer Science, Vol. 3729. Springer, Berlin, 262--276.
[13]
Guido L. Geerts and Daniel E. O'Leary. 2014. A supply chain of things: The EAGLET ontology for highly visible supply chains. Decision Support Systems 63 (2014), 3--22.
[14]
Michael Glöckner, Christoph Augenstein, and André Ludwig. 2014. Metamodel of a Logistics Service Map. In Business Information Systems, Wil van der Aalst, John Mylopoulos, Michael Rosemann, Michael J. Shaw, Clemens Szyperski, Witold Abramowicz, and Angelika Kokkinaki (Eds.). Lecture Notes in Business Information Processing, Vol. 176. Springer International Publishing, Cham, 185--196.
[15]
Michael Glöckner and André Ludwig. 2016. LoSe ODP - An Ontology Design Pattern for Logistics Services. In Workshop on Ontology and Semantic Web Patterns (7th edition), Pascal Hitzler, Karl Hammer, Monika Solanki, Agnieszka Lawrynowicz, Andrea Nuzzolese, and Adila Krisnadhi (Eds.). http://ontologydesignpatterns.org/wiki/images/f/fb/WOP2016_paper_14.pdf
[16]
Michael Glöckner, André Ludwig, and Bogdan Franczyk. 2017. Go with the Flow - Design of Cloud Logistics Service Blueprints. In Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS) 2017.
[17]
Silvio Gonnet, Marcela Vegetti, Horacio Leone, and Gabriela Henning. 2007. SCOntology. In Adaptive technologies and business integration, Maria Manuela Cruz-Cunha, Bruno Conceicao Cortes, and Goran Putnik (Eds.). Idea Group Reference, Hershey PA, 137--158.
[18]
Timm Gudehus and Herbert Kotzab. 2012. Comprehensive Logistics. Springer Berlin Heidelberg, Berlin, Heidelberg.
[19]
Bernhard Holtkamp, Sebasti Steinbuss, Heiko Gsell, Thorsten Loeffeler, and Ulrich Springer. 2010. Towards a Logistics Cloud. In 2010 Sixth International Conference on Semantics Knowledge and Grid (SKG). 305--308.
[20]
Julia Hoxha, Andreas Scheuermann, and Stephan Bloehdorn. 2010. 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. 73--78.
[21]
Christoph Klotzer and Alexander Pflaum. 2015. Cyber-physical systems as the technical foundation for problem solutions in manufacturing, logistics and supply chain management. In 2015 5th International Conference on the Internet of Things (IOT). 12--19.
[22]
John Langley and Mindy Long. 2017. 2017 Third-Party Logistics Study: The State of Logistics Outsourcing: Results and Findings of the 21st Annual Study. 21 (2017).
[23]
Joerg Leukel and Stefan Kirn. 2008. A Supply Chain Management Approach to Logistics Ontologies in Information Systems. In Business Information Systems, Witold Abramowicz and Dieter Fensel (Eds.). Lecture Notes in Business Information Processing, Vol. 7. Springer, Berlin and Heidelberg, 95--105.
[24]
Jörg Leukel, Stefan Kirn, and Thomas Schlegel. 2011. Supply Chain as a Service: A Cloud Perspective on Supply Chain Systems. IEEE Systems Journal 5, 1 (2011), 16--27.
[25]
Dongmin Li, Xiao Xue, Shuhui Ding, and Cuiyun Li. 2014. OWL 2 Based Validation and Modeling of Logistics Domain Ontology. International Journal of Artificial Intelligence and Application for Smart Devices 2, 2 (2014), 1--8. www.sersc.org/journals/IJAIASD/vol2_no2/1.pdf
[26]
Wenfeng Li, Ye Zhong, Xun Wang, and Yulian Cao. 2013. Resource virtualization and service selection in cloud logistics. Journal of Network and Computer Applications 36, 6 (2013), 1696--1704.
[27]
Yan Lu, Hervé Panetto, Yihua Ni, and Xinjian Gu. 2013. Ontology alignment for networked enterprise information system interoperability in supply chain environment. International Journal of Computer Integrated Manufacturing 26, 1--2 (2013), 140--151.
[28]
Azad M. Madni, Weiwen Lin, and Carla C. Madni. 2001. IDEONTM: An extensible ontology for designing, integrating, and managing collaborative distributed enterprises. Systems Engineering 4, 1 (2001), 35--48.
[29]
Lars Mathiassen, A. Munk-Madsen, Peter Axel Nielsen, and Jan Stage. 2000. Object-Oriented Analysis and Design. Marko, Aalborg.
[30]
Deborah McGuinnes and Frank van Harmelen. 2012. OWL 2 Web Ontology Language Document Overview (Second Edition): W3C Recommendation 11 December 2012. (2012). https://www.w3.org/TR/owl2-overview/
[31]
Andreas Metzger, Rod Franklin, and Yagil Engel. 2012. Predictive Monitoring of Heterogeneous Service-Oriented Business Networks: The Transport and Logistics Case. In Annual SRII global conference (SRII), 2012. IEEE, Piscataway, NJ, 313--322.
[32]
Pierre-Alain Millet, Lorraine Trilling, Thierry Moyaux, and Omar Sakka. 2013. Ontology of SCOR for the Strategic Alignment of Organizations and Information Systems. In Supply Chain Performance, Val?rie Botta-Genoulaz, Jean-Pierre Campagne, Daniel Llerena, and Claude Pellegrin (Eds.). Wiley, London, 171--210.
[33]
Elisa Negri, Sara Perotti, Luca Fumagalli, Gino Marchet, and Marco Garetti. 2017. Modelling internal logistics systems through ontologies. Computers in Industry 88 (2017), 19--34.
[34]
Ken Peffers, Marcus Rothenberger, Tuure Tuunanen, and Reza Vaezi. 2012. Design Science Research Evaluation. In Design science research in information systems, Ken Peffers (Ed.). Lecture Notes in Computer Science, Vol. 7286. Springer, Heidelberg, 398--410.
[35]
Valentina Presutti and Aldo Gangemi. 2008. Content Ontology Design Patterns as Practical Building Blocks for Web Ontologies. In Conceptual modeling - ER 2008, Qing Li (Ed.). LNCS sublibrary. Information systems and application, incl. Internet/Web, and HCI, Vol. 5231. Springer, Berlin, 128--141.
[36]
Simon Rodan and Charles Galunic. 2004. More than network structure: How knowledge heterogeneity influences managerial performance and innovativeness. Strategic Management Journal 25, 6 (2004), 541--562.
[37]
Omar Sakka, Pierre-Alain Millet, and Valérie Botta-Genoulaz. 2011. An ontological approach for strategic alignment: A supply chain operations reference case study. International Journal of Computer Integrated Manufacturing 24, 11 (2011), 1022--1037.
[38]
Andreas Scheuermann and Julia Hoxha. 2012. Ontologies for Intelligent Provision of Logistics Services. In ICIW 2012 : The Seventh International Conference on Internet and Web Applications and Services. 106--111.
[39]
Andreas Scheuermann and Joerg Leukel. 2014. Supply chain management ontology from an ontology engineering perspective. Computers in Industry 65, 6 (2014), 913--923.
[40]
Rohit Kr. Singh and P. Acharya. 2013. Supply Chain Flexibility: A Frame Work of Research Dimensions. Global Journal of Flexible Systems Management 14, 3 (2013), 157--166.
[41]
Tomi Solakivi, Juuso Töyli, and Lauri Ojala. 2013. Logistics outsourcing, its motives and the level of logistics costs in manufacturing and trading companies operating in Finland. Production Planning & Control 24, 4--5 (2013), 388--398.
[42]
Mari Carmen Suárez-Figueroa, Asunción Gómez-Pérez, and Mariano Fernández-López. 2012. The NeOn Methodology for Ontology Engineering. In Ontology Engineering in a Networked World, Mari Carmen Suárez-Figueroa, Asunción Gómez-Pérez, Enrico Motta, and Aldo Gangemi (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 9--34.
[43]
John Venable, Jan Pries-Heje, and Richard Baskerville. 2014. FEDS: A Framework for Evaluation in Design Science Research. European Journal of Information Systems (2014).
[44]
Xiaohuan Wang, T. N. Wong, and Zhi-Ping Fan. 2013. Ontology-based supply chain decision support for steel manufacturers in China. Expert Systems with Applications 40, 18 (2013), 7519--7533.

Cited By

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  • (2023)A survey on supply chain ontologiesInternational Journal of Production Management and Engineering10.4995/ijpme.2023.1870211:1(89-101)Online publication date: 31-Jan-2023
  • (2023)Research on Emergency Logistics Decision Platform Based on Knowledge GraphLISS 202210.1007/978-981-99-2625-1_15(199-210)Online publication date: 14-Oct-2023
  • (2019)A Novel Task Language for Natural Interaction in Human-Robot Systems for Warehouse Logistics2019 14th International Conference on Computer Science & Education (ICCSE)10.1109/ICCSE.2019.8845336(725-730)Online publication date: Aug-2019
  1. Ontological structuring of logistics services

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    cover image ACM Conferences
    WI '17: Proceedings of the International Conference on Web Intelligence
    August 2017
    1284 pages
    ISBN:9781450349512
    DOI:10.1145/3106426
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 23 August 2017

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    Author Tags

    1. cloud logistics
    2. domain structuring
    3. logistics
    4. ontology design pattern
    5. service map

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    Overall Acceptance Rate 118 of 178 submissions, 66%

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    View all
    • (2023)A survey on supply chain ontologiesInternational Journal of Production Management and Engineering10.4995/ijpme.2023.1870211:1(89-101)Online publication date: 31-Jan-2023
    • (2023)Research on Emergency Logistics Decision Platform Based on Knowledge GraphLISS 202210.1007/978-981-99-2625-1_15(199-210)Online publication date: 14-Oct-2023
    • (2019)A Novel Task Language for Natural Interaction in Human-Robot Systems for Warehouse Logistics2019 14th International Conference on Computer Science & Education (ICCSE)10.1109/ICCSE.2019.8845336(725-730)Online publication date: Aug-2019

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