nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

Towards Cooperative Semantic Computing: A Distributed Reasoning Approach for Fog-Enabled SWoT

verfasst von : Nicolas Seydoux, Khalil Drira, Nathalie Hernandez, Thierry Monteil

Erschienen in: On the Move to Meaningful Internet Systems. OTM 2018 Conferences

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The development of the Semantic Web of Things (SWoT) is challenged by the nature of IoT architectures where constrained devices are connected to powerful cloud servers in charge of processing remotely collected data. Such an architectural pattern introduces multiple bottlenecks constituting a hurdle for scalability, and degrades the QoS parameters such as response time. This hinders the development of a number of critical and time-sensitive applications. As an alternative to this Cloud-centric architecture, Fog-enabled architectures can be considered to take advantage of the myriad of devices that can be used for partially processing data circulating between the local sensors and the remote Cloud servers. The approach developed in this paper is a contribution in this direction: it aims to enable rule-based processing to be deployed closer to data sources, in order to foster the implementation of semantic-enabled applications. For this purpose, we define a dynamic deployment technique for rule-based semantic reasoning on Fog nodes. This technique has been evaluated according to a strategy improving information delivery delay to applications. The implementation in Java based on SHACL rules has been executed on a platform containing a server, a laptop and a Raspberry Pi, and is evaluated on a smart building use case where both distribution and scalability have been considered.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Design and Performance Analysis of Load Balancing Strategies for Cloud-Based Business Process Management Systems

Nächstes Kapitel Enhancing Business Process Flexibility by Flexible Batch Processing

http://poseidon.ws.dei.polimi.it/ca/?page_id=59.

https://en.wikipedia.org/wiki/Bluetooth_Low_Energy.

https://w3id.org/laas-iot/edr/iiot/iiot.tar.gz.

https://www.w3.org/Submission/SWRL/.

https://www.w3.org/Submission/spin-modeling/.

https://www.w3.org/TR/shacl/.

https://www.w3.org/TR/shacl-af/.

http://openfogconsortium.org/.

http://onem2m.org/.

Used namespaces: edr:<https://w3id.org/laas-iot/edr>, lmu:<https://w3id.org/laas-iot/lmu>, sh:<http://www.w3.org/ns/shacl>, ex:<http://example.org/ns>.

Individuals such as \(n-p\) and \(n_c\) are identified with a URI in the triplets.

https://w3id.org/laas-iot/edr/iiot/r1.ttl.

The code is available at https://framagit.org/nseydoux/edr.

Topology representations are available at https://w3id.org/laas-iot/edr/iiot/scala_syndream/clone_f_<0,1,2>.ttl respectively.

https://w3id.org/laas-iot/edr/iiot/clone_f_0_blueprint.json.

https://www.slideshare.net/kartben/iot-developer-survey-2018.

Alaya, M.B., Medjiah, S., Monteil, T., Drira, K.: Toward semantic interoperability in oneM2M architecture. IEEE Commun. Mag. 53(12), 35–41 (2015). https://doi.org/10.1109/MCOM.2015.7355582CrossRef

Ali, M.I., et al.: Real-time data analytics and event detection for IoT-enabled communication systems. Web Semant.: Sci. Serv. Agents World Wide Web 42, 19–37 (2017). https://doi.org/10.1016/j.websem.2016.07.001CrossRef

Desai, P., Sheth, A., Anantharam, P.: Semantic Gateway as a Service architecture for IoT Interoperability. Netw. Internet Arch., 16 (2014). https://doi.org/10.1109/MobServ.2015.51

Gyrard, A., Serrano, M., Jares, J.B., Datta, S.K., Ali, M.I.: Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities. In: International Conference on World Wide Web Companion, pp. 1153–1159 (2017). https://doi.org/10.1145/3041021.3054716

Kaed, C.E., Khan, I., Berg, A.V.D., Hossayni, H., Saint-Marcel, C.: SRE: semantic rules engine for the industrial Internet-of-Things gateways. IEEE Trans. Ind. Inform. 14(2), 715–724 (2018). https://doi.org/10.1109/TII.2017.2769001CrossRef

Kaed, C.E., Khan, I., Hossayni, H., Nappey, P.: SQenloT: semantic query engine for industrial Internet-of-Things gateways. In: 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016, pp. 204–209 (2016). https://doi.org/10.1109/WF-IoT.2016.7845468

Kaed, C.E., Khan, I., Van Den Berg, A., Hossayni, H., Saint-Marcel, C.: SRE: semantic rules engine for the industrial Internet- of-Things gateways. IEEE Trans. Ind. Inform. 14(2), 715–724 (2018). https://doi.org/10.1109/TII.2017.2769001CrossRef

Khandelwal, A., Jacobi, I., Kagal, L.: Linked rules: principles for rule reuse on the web. In: Rudolph, S., Gutierrez, C. (eds.) RR 2011. LNCS, vol. 6902, pp. 108–123. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23580-1_9CrossRef

Kiljander, J., et al.: Semantic interoperability architecture for pervasive computing and Internet of Things. IEEE Access 2, 856–873 (2014). https://doi.org/10.1109/ACCESS.2014.2347992CrossRef

10.

Li, Z., Chu, C.H., Yao, W., Behr, R.A.: Ontology-driven event detection and indexing in smart spaces. In: IEEE International Conference on Semantic Computing, pp. 285–292 (2010). https://doi.org/10.1109/ICSC.2010.63

11.

Maarala, A.I., Su, X., Riekki, J.: Semantic reasoning for context-aware internet of things applications. IEEE Internet Things J. 4(2), 461–473 (2017)CrossRef

12.

Nikoli, S., Penca, V., Konjovi, Z.: Semantic web based architecture for managing hardware heterogeneity in wireless sensor network. Int. J. Comput. Sci. Appl. 8(2), 38–58 (2011)

13.

Patel, P., Intizar Ali, M., Sheth, A.: On using the intelligent edge for IoT analytics. IEEE Intell. Syst. 32(5), 64–69 (2017). https://doi.org/10.1109/MIS.2017.3711653CrossRef

14.

Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014). https://doi.org/10.1109/SURV.2013.042313.00197CrossRef

15.

Pfisterer, D., et al.: SPITFIRE: toward a semantic web of things. IEEE Commun. Mag. 49(11), 40–48 (2011). https://doi.org/10.1109/MCOM.2011.6069708CrossRef

16.

Poslad, S., Middleton, S.E., Chaves, F., Tao, R., Necmioglu, O., Bugel, U.: A semantic IoT early warning system for natural environment crisis management. IEEE Trans. Emerg. Top. Comput. 3(2), 246–257 (2015). https://doi.org/10.1109/TETC.2015.2432742CrossRef

17.

Seydoux, N., Drira, K., Hernandez, N., Monteil, T.: Reasoning on the edge or in the cloud? Internet Technol. Lett., e51

18.

Seydoux, N., Drira, K., Hernandez, N., Monteil, T.: Capturing the contributions of the semantic web to the IoT: a unifying vision. In: Maleshkova, M., Verborgh, R., Gyrard, A. (eds.) Proceedings of the Second SWIT Workshop Co-located with ISWC. CEUR Workshop Proceedings, vol. 1930 (2017)

19.

Sezer, O.B., Dogdu, E., Ozbayoglu, A.M.: Context-aware computing, learning, and big data in internet of things: a survey. IEEE Internet Things J. 5, 1–27 (2018)CrossRef

20.

Sheth, A., Henson, C., Sahoo, S.S.: Semantic sensor web. IEEE Internet Comput. 12(4), 78–83 (2008). https://doi.org/10.1109/MIC.2008.87CrossRef

21.

Shi, W., Dustdar, S.: The promise of edge computing. Computer 49(5), 78–81 (2016)CrossRef

22.

Su, X., et al.: Distribution of semantic reasoning on the edge of Internet of Things. In: IEEE UbiComp, p. 79, November 2018

23.

Szilagyi, I., Wira, P.: Ontologies and semantic web for the Internet of Things - a survey. In: IECON. IEEE (2016)

24.

Taneja, M., Davy, A.: Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm. In: 2017 IFIP/IEEE Symposium on Integrated Network and Service Management, pp. 1222–1228. IEEE, May 2017. https://doi.org/10.23919/INM.2017.7987464

25.

Wang, S., Wan, J., Li, D., Liu, C.: Knowledge reasoning with semantic data for real-time data processing in smart factory. Sensors (Switzerland) 18(2), 1–10 (2018). https://doi.org/10.3390/s18020471CrossRef

26.

Xu, G., Cao, Y., Ren, Y., Li, X., Feng, Z.: Network security situation awareness based on semantic ontology and user-defined rules for internet of things. IEEE Access 5, 21046–21056 (2017)CrossRef

27.

Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M.: Internet of Things for smart cities. IEEE Internet Things J. 1(1), 22–32 (2014). https://doi.org/10.1109/JIOT.2014.2306328CrossRef

Titel: Towards Cooperative Semantic Computing: A Distributed Reasoning Approach for Fog-Enabled SWoT
verfasst von: Nicolas Seydoux
Khalil Drira
Nathalie Hernandez
Thierry Monteil
Verlag: Springer International Publishing
Buch: On the Move to Meaningful Internet Systems. OTM 2018 Conferences
Print ISBN: 978-3-030-02609-7

Electronic ISBN: 978-3-030-02610-3

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-02610-3_23

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner