Skip to main content
SpringerLink
Log in
Book cover

Semantic IoT: Theory and Applications pp 35–57Cite as

Semantic Web Technologies

  • Chapter
  • First Online:

  • 868 Accesses

Part of the book series: Studies in Computational Intelligence ((SCI,volume 941))

Abstract

The overarching aim of the Semantic Web is to allow computers to perform more valuable research and to construct structures that can facilitate reliable connections around the Network. Semantic Web applications help people to establish data stores on the Internet, build vocabulary, and compose data handling guidelines. Using the details of metadata, the semantic web recovers efficiently the web page user is searching for. Authors have introduced Semantic web, its development and technologies in brief, in this work. Provenance is the most crucial feature in for trustworthiness of semantic web. This feature is focused with the help of provenance data model. Authors discussed semantic web implementations such as semantic web desktop, geospatial semantic web etc. and their applications in different fields such as agriculture, healthcare, and IoT.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. https://www.cambridgesemantics.com/blog/semantic-university/intro-semantic-web/

  2. Abelló, A., Romero, O., Pedersen, T.B., Berlanga, R., Nebot, V., Aramburu, M.J., Simitsis, A.: Using semantic web technologies for exploratory OLAP: a survey. IEEE Trans. Knowl. Data Eng. 27(2), 571–588 (2014)

    Article  Google Scholar 

  3. Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The semantic web in action. Sci. Am. 297(6), 90–97 (2007)

    Article  Google Scholar 

  4. Breitman, K., Casanova, M. A., Truszkowski, W.: Semantic Web: Concepts, Technologies and Applications. Springer Science & Business Media (2007)

    Google Scholar 

  5. https://www.ontotext.com/knowledgehub/fundamentals/linked-data-linked-open-data/

  6. Antoniou, G., van Harmelen, F.: A Semantic Web Primer, MIT Press. Cambridge, MA (2004)

    Google Scholar 

  7. Wang, X., Gorlitsky, R., Almeida, J.S.: From XML to RDF: how semantic web technologies will change the design of ‘omic’ standards. Nat. Biotechnol. 23(9), 1099 (2005)

    Article  Google Scholar 

  8. Berners-Lee, T.: Linked data-design issues. http://www.w3.org/DesignIssues/LinkedData.html (2006)

  9. https://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-attribute-type

  10. Pandey, M., Pandey, R.: Provenance linking using bundles in OWL ontology. Int. J. Comput. Appl. 975, 8887 (2017)

    Google Scholar 

  11. Pandey, M., Pandey, R., Darbari, M.: Provenance descriptions using the OWL functional syntax in Protégé. Int. J. Innov. Technol. Exploring Eng. (IJITEE), 8(8), 2421–2428 (2019)

    Google Scholar 

  12. Pandey, M., Pandey, R., Darbari, M.: Provenance use and its application in education domain using owl/XML syntax in Protégé. Int. J. Innov. Technol. Exploring Eng. (IJITEE) 8(9), 1037–1045 (2019)

    Article  Google Scholar 

  13. Shafiq, M.O., Ding, Y., Fensel, D.: Bridging multi agent systems and web services: towards interoperability between software agents and semantic web services. In: 2006 10th IEEE International Enterprise Distributed Object Computing Conference (EDOC’06), pp. 85–96. IEEE (2006, October)

    Google Scholar 

  14. Melesko, J., Kurilovas, E.: Personalised intelligent multi-agent learning system for engineering courses. In: 2016 IEEE 4th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), pp. 1–6. IEEE (2016, November)

    Google Scholar 

  15. Stancheva, N.S., Popchev, I., Stoyanova-Doycheva, A., Stoyanov, S.: Automatic generation of test questions by software agents using ontologies. In: 2016 IEEE 8th International Conference on Intelligent Systems (IS), pp. 741–746. IEEE (2016, September)

    Google Scholar 

  16. Jilek, C., Schröder, M., Schwarz, S., Maus, H., Dengel, A.: Context spaces as the cornerstone of a near-transparent and self-reorganizing semantic desktop. In: European Semantic Web Conference, pp. 89–94. Springer, Cham (2018, June)

    Google Scholar 

  17. Janowicz, K., Hitzler, P.: Geospatial Semantic Web. Int. Encycl. Geogr. People Earth Environ. Technol. People Earth Environ. Technol. 1–6 (2016)

    Google Scholar 

  18. Nishanbaev, I., Champion, E., McMeekin, D.A.: A survey of geospatial semantic web for cultural heritage. Heritage 2(2), 1471–1498 (2019)

    Article  Google Scholar 

  19. Drury, B., Fernandes, R., Moura, M.F., de Andrade Lopes, A.: A survey of semantic web technology for agriculture. Inf. Process. Agric. 6(4), 487–501 (2019)

    Google Scholar 

  20. Mokgetse, T.L.: Need of ontology-based systems in healthcare system. Ontology-Based Inf. Retrieval Healthc. Syst. 257 (2020)

    Google Scholar 

  21. Shah, P., Thakkar, A.: Comparative analysis of semantic frameworks in healthcare. In Healthcare Data Analytics and Management, pp. 133–154. Academic Press (2019)

    Google Scholar 

  22. Al-Osta, M., Ahmed, B., Abdelouahed, G.: A lightweight semantic web-based approach for data annotation on IoT gateways. Procedia Comput. Sci. 113, 186–193 (2017)

    Article  Google Scholar 

  23. Soldatos, J., Kefalakis, N., Hauswirth, M., Serrano, M., Calbimonte, J. P., Riahi, M., Aberer, K., Jayaraman, P.P., Zaslavsky, A., Žarko, I.P., Skorin-Kapov, L.: Openiot: Open source internet-of-things in the cloud. In: Interoperability and Open-Source Solutions for the Internet of Things, pp. 13–25. Springer, Cham (2015)

    Google Scholar 

  24. Gyrard, A., Serrano, M.: Fiesta-iot: federated interoperable semantic internet of things (iot) testbeds and applications. In ICT (2015)

    Google Scholar 

  25. Honti, G.M., Abonyi, J.: A review of semantic sensor technologies in internet of things architectures. Complexity 2019 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sinhgad College of Engineering, Pune, India

    Jayashree R. Prasad

  2. Vishwakarma Institute of Information Technology, Pune, India

    Priya M. Shelke

  3. Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, India

    Rajesh S. Prasad

Authors
  1. Jayashree R. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Priya M. Shelke
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rajesh S. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rajesh S. Prasad .

Editor information

Editors and Affiliations

  1. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Rajiv Pandey

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Nidhi Srivastava

  4. Database System Laboratory, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Subhash Bhalla

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Katarzyna Wasielewska-Michniewska

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Prasad, J.R., Shelke, P.M., Prasad, R.S. (2021). Semantic Web Technologies. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_2

Download citation

Publish with us

Policies and ethics

Search

Navigation