Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Mission-oriented service development using capability-based semantic recommendation for the internet of things

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

This paper presents a mission-oriented service development environment with web-based modeling tool that enable users create workflow-based service composition. This approach utilizes the ontology-based mission service model composed of mission, task, service and resource, and task/service recommendation. During developing the mission-oriented service, capability-based semantic matching and hierarchical relationship-based filtering are used for three types of recommendation. Also, we develop a modeling environment to monitor and execute the mission service application. In experiments, we have conducted on test beds in two domains such as military environment and smart building.

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

Access this article

Log in via an institution

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

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tutorials 17(4):2347–2376. doi:10.1109/COMST.2015.2444095

    Article  Google Scholar 

  2. Barnaghi P, Wang W, Henson C, Taylor K (2012) Semantics for the internet of things: early progress and back to the future. Int J Semant Web Inf Syst 8(1):1–21. doi:10.4018/jswis.2012010101

    Article  Google Scholar 

  3. Bermudez L, Graybeal J, Arko R (2006) A marine platforms ontology: experiences and lessons. In: Proceedings of the ISWC 2006 Workshop on semantic sensor networks, Athens GA, USA

  4. Cassar G, Barnaghi P, Wang W, Moessner K (2012) A hybrid semantic matchmaker for IoT services. In: 2012 I.E. International Conference on Green Computing and Communications. pp 210–216

  5. Choi HS, Rhee WS (2014) Iot-based user-driven service modeling environment for a smart space management system. Sensors (Switzerland) 14(11):22039–22064. doi:10.3390/s141122039

    Article  Google Scholar 

  6. Gomez M, Preece A, Johnson MP, et al (2008). An Ontology-Centric Approach to Sensor-Mission Assignment. In: Gangemi A, Euzenat J (Eds.), Knowledge engineering: practice and patterns: 16th International Conference, EKAW 2008, Acitrezza, Italy, September 29–October 2, 2008. Proceedings (pp. 347–363). Berlin: Springer Berlin Heidelberg. doi:10.1007/978-3-540-87696-0_30

  7. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (IoT): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29:1645–1660. doi:10.1016/j.future.2013.01.010

    Article  Google Scholar 

  8. Hachem S, Teixeira T, Issarny V (2011) Ontologies for the internet of things. In: Proceedings of the 8th Middleware Doctoral Symposium (MDS ‘11). ACM, New York. doi: 10.1145/2093190.2093193. Article 3, 6 pages

  9. Han SN, Lee GM, Crespi N (2014) Semantic context-aware service composition for building automation system. IEEE Trans Ind Inf 10(1):252–261. doi:10.1109/TII.2013.2252356

    Article  Google Scholar 

  10. Ko I-Y, Ko H-G, Molina AJ, Kwon J (2016) SoIoT ACM Transactions on Internet Technology. 16(2):1–21. doi:10.1145/2835492

  11. Kotis K, Katasonov A (2013) Semantic interoperability on the internet of things: the semantic smart gateway framework. Int J Distrib Syst Technol 4(3):47–69. doi:10.4018/jdst.2013070104

    Article  Google Scholar 

  12. Levchuk GM, Levchuk YN, Pattipati KR, Kleinman DL (2002) Normative design of organizations. I. Mission planning. IEEE Trans Syst Man Cybern Syst Hum 32(3):346–359. doi:10.1109/TSMCA.2002.802819

    Article  Google Scholar 

  13. López E, García-Macías JA (2012) Mashing up the internet of things: a framework for smart environments. EURASIP J Wirel Commun Netw 2012(1):79. doi:10.1186/1687-1499-2012-79

    Article  Google Scholar 

  14. McMullen D, Reichherzer T (2006) The common instrument middleware architecture (CIMA): instrument ontology & applications. In: Proceedings of the 2nd Workshop on Formal Ontologies Meets Industry (FOMI 2006), Trento, Italy, pp 655–663

  15. MILO (Mid-Level Ontology). https://github.com/ontologyportal/sumo/blob/master/Mid-level-ontology.kif. Accessed 11 Apr 2017

  16. OWL Web Ontology Language. http://www.w3.org/TR/owl-ref/. Accessed 11 Apr 2017

  17. Paolucci M, Kawamura T, Payne TR, Sycara KP (2002) Semantic matching of web services capabilities. In: Proceedings of the First International Semantic Web Conference (ISWC 2002). Springer-Verlag, London, pp 333–347

  18. Pease A, Niles I, LI J (2002) The suggested upper merged ontology: a large ontology for the semantic web and its applications. In: Proceedings of working notes of the AAAI-2002 Workshop on ontologies and the semantic web, Edmonton, Canada, 28 July–1 August

  19. Protégé 3.5. http://protege.stanford.edu/. Accessed 11 Apr 2017

  20. Robin A, Havens S, Cox S et al (2006) OpenGIS sensor model language (SensorML) implementation specification. Technical report, Open Geospatial Consortium Inc

  21. Rueda C, Galbraith N, Morris RA et al (2010) The MMI Device Ontology: Enabling Sensor Integration AGU Fall Meeting Abstracts

  22. Russomanno D, Kothari C, Thomas O (2005) Building a sensor ontology: a practical approach leveraging ISO and OGC models. In: Proceedings of the International Conference on Artificial Intelligence, pp 637–643

  23. Ryu M, Kim J, Yun J (2015) Integrated semantics service platform for the internet of things: a case study of a smart office. Sensors (Basel, Switzerland) 15(1):2137–2160. doi:10.3390/s150102137

    Article  Google Scholar 

  24. Sheehan JH, Deitz PH, Bray BE, Harris BA, Wong ABH (2003) The military missions and means framework. In: Proceedings of the Interservice/Industry Training and Simulation and Education Conference, pp 655–663

  25. Song S, Lee SW (2013) A goal-driven approach for adaptive service composition using planning. Math Comput Model 58(1–2):261–273. doi:10.1016/j.mcm.2012.08.007

    Article  Google Scholar 

  26. Song S, Lee C, Lee S, Park J (2016) Capability-based semantic matching for dynamic resource allocation in tactical edge environment. J Supercomput 72(9):3646–3662. doi:10.1007/s11227-016-1765-0

    Article  Google Scholar 

  27. SPARQL Query Language for RDF, W3C Recommendation. http://www.w3.org/TR/rdf-sparql-query/. Accessed 11 Apr 2017

  28. Stavropoulos TG, Vrakas D, Vlachava D, Bassiliades N (2012) BOnSAI: a smart building ontology for ambient intelligence. In: 2nd International Conference on web intelligence, mining and semantics

  29. Suggested Upper Merged Ontology (SUMO). http://www.adampease.org/OP/. Accessed 11 Ap 2017

  30. The Army Universal Task List. http://www.globalsecurity.org/military/library/policy/army/fm/7-15/fm7-15_c7.pdf. Accessed 11 Apr 2017

  31. Tzortzis G (2016) A semi-automatic approach for semantic IoT service composition. In: Workshop on Artificial Intelligence and Internet of Things in conjunction with SETN 2016

  32. Wang W, De S, Cassar G, Moessner PK (2013) Knowledge representation in the internet of things: semantic modelling and its applications. Automatika 54(4):388–400. doi:10.7305/automatika.54-4.414

    Article  Google Scholar 

Download references

Acknowledgments

“This work was supported by the Civil-Military Technology Cooperation Program” (UM13018RD1)

Author information

Authors and Affiliations

  1. Metabuild Co.,Ltd., Seoul, South Korea

    Seheon Song

  2. School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea

    Sang Oh Park

  3. Agency for Defense Development, Seoul, South Korea

    SangIl Lee & JaeHyun Park

Authors
  1. Seheon Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sang Oh Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. SangIl Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. JaeHyun Park
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Sang Oh Park or JaeHyun Park.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, S., Park, S.O., Lee, S. et al. Mission-oriented service development using capability-based semantic recommendation for the internet of things. Multimed Tools Appl 78, 2939–2961 (2019). https://doi.org/10.1007/s11042-017-4889-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-4889-1

Keywords

Search

Navigation