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J. R. Prasad et al.
schema. Another aim of semantic web is to improve and enrich the current world
wide web. Better search engine efficiency, dynamic website personalization and
material enrichment of online documents are the main scenarios in this case that are
performed utilizing ontology-based technologies. Detailed discussion on provenance
in semantic web is carried out with Prov data model.
Authors have also validated the usage of Semantic Web technologies in various
application domains such as E-learning, geospatial, agriculture and healthcare and
IoT.
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)
3. Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The semantic web
in action. Sci. Am. 297(6), 90–97 (2007)
4. Breitman, K., Casanova, M. A., Truszkowski, W.: Semantic Web: Concepts, Technologies and
Applications. Springer Science & Business Media (2007)
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)
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)
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)
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)
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)
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)
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)
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)
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)
17. Janowicz, K., Hitzler, P.: Geospatial Semantic Web. Int. Encycl. Geogr. People Earth Environ.
Technol. People Earth Environ. Technol. 1–6 (2016)
18. Nishanbaev, I., Champion, E., McMeekin, D.A.: A survey of geospatial semantic web for
cultural heritage. Heritage 2(2), 1471–1498 (2019)
J. R. Prasad et al.
schema. Another aim of semantic web is to improve and enrich the current world
wide web. Better search engine efficiency, dynamic website personalization and
material enrichment of online documents are the main scenarios in this case that are
performed utilizing ontology-based technologies. Detailed discussion on provenance
in semantic web is carried out with Prov data model.
Authors have also validated the usage of Semantic Web technologies in various
application domains such as E-learning, geospatial, agriculture and healthcare and
IoT.
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)
3. Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The semantic web
in action. Sci. Am. 297(6), 90–97 (2007)
4. Breitman, K., Casanova, M. A., Truszkowski, W.: Semantic Web: Concepts, Technologies and
Applications. Springer Science & Business Media (2007)
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)
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)
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)
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)
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)
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)
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)
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)
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)
17. Janowicz, K., Hitzler, P.: Geospatial Semantic Web. Int. Encycl. Geogr. People Earth Environ.
Technol. People Earth Environ. Technol. 1–6 (2016)
18. Nishanbaev, I., Champion, E., McMeekin, D.A.: A survey of geospatial semantic web for
cultural heritage. Heritage 2(2), 1471–1498 (2019)