An Outline Implementation for Habitual Production of Ontology from RDF To Medical Data

AUTHORS

Zhigang Yan,Inner Mongolia Normal University

ABSTRACT

Information on the web is extremely growing in current years with the quicker velocity. This enormous or capacious data has driven intricate troubles for information recovery and information organization. As the data resides in a network with numerous forms, the Knowledge management in the web is a challenging task. Here the novel 'Semantic Web' concept may be used for understanding the web contents by the machine to offer intelligent services in an efficient way with a meaningful knowledge representation. The information recovery in the conventional web source is centered on 'page positioning' strategies, though in the semantic web the information recovery forms depend on the 'idea based learning'. The proposed work is gone for the improvement of another system for programmed age of cosmology and RDF to some continuous system information, removed from numerous storehouses by following their URL's and Text Documents. Enhanced altered ordering method is connected for cosmology age and turtle documentation is utilized for RDF documentation. A program is composed for approving the extricated information from different archives by expelling undesirable information and considering just the report segment of the website page.

 

KEYWORDS

Semantic Web, Resource description framework, Ontology, Improved inverted indexing technique, Knowledge management.

REFERENCES

[1]     Sareh Aghaei, Mohammad Ali Nematbakhsh and Hadi Khosravi Farsani, “Evolution of The World Wide Web: From Web 1.0 To Web 4.0”, International Journal of Web & Semantic Technology (IJWesT), January (2012), vol.3, no.1, pp.20-30. (CrossRef)(Google Scholar)
[2]     Abdeslem DENNAI, Sidi Mohammed BENSLIMANE, "Semantic Indexing of Web Documents Based on Domain Ontology", International Journal of Information Technology and Computer Science, (2015), vol.02, pp.1-11.(CrossRef)(Google Scholar)
[3]     Seema Redekar, Vishal Chekkala, Siddhapa Gouda, Swapnil Yalgude,"Web Search Engine Using Ontology Learning", International Journal of Innovative Research in Computer and Communication Engineering, March (2017), vol.5, no.3, pp.15-25.(CrossRef)(Google Scholar)
[4]     G Sudeepthi, G Anuradha, M Surendra Prasad Babu,” A survey on semantic web search engine” International Journal of Computer Science Issues, (2012)/3 IJCSI, Vol 9, no.2, pp.241-245.
[5]     R. Wilkinson, “Effective retrieval of structured documents”, Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (S.-V. New York, Ed.), (1994), pp.311-317.(CrossRef)(Google Scholar)
[6]     Touzi, Ag , H. Massoud , and A. Ayadi . "Automatic ontology generation for data mining using fca and clustering." Computer Science, arxiv.org, no. 1311.1764 (2013)
[7]     Amira Aloui, ENIT, Tunis, Tunisia, “A Fuzzy Ontology-Based Platform for Flexible Querying”, International Journal of Service Science, Management, Engineering, and Technology, July-September (2015), vol.6, no.3, pp.12-26.(CrossRef)(Google Scholar)
[8]     Babu, M Surendra Prasad, and S. Govathoti . "A Semantic model for building integrated Ontology databases." IEEE International Conference on Software Engineering & Service Science IEEE, (2017) (CrossRef)(Google Scholar)
[9]     Tahani Alsubait, Bijan Parsia, Ulrike Sattler, “Ontology-Based Multiple Choice Question Generation”, Kunstl Intell, (2016), vol.30, pp.183-188.(CrossRef)(Google Scholar)
[10]  Youn, Seongwook , and D. Mcleod . "Ontology Development Tools for Ontology-Based Knowledge Management." Encyclopedia of E-Commerce, E-Government, and Mobile Commerce (2006).
[11]  Kgotatso Desmond Mogotlane, Jean Vincent Fonou-Dombeu, “Automatic Conversion of Relational Databases into Ontologies” International Journal of Web & Semantic Technology (IJWesT) October (2016), vol.7, no.3/4, pp.21-40.(CrossRef)(Google Scholar)
[12]  Fateme Abiri, Mohsen Kahani, Fatane Zarinkalam"An Entity Based RDF Indexing Schema Using Hadoop and HBase", 4th IEEE International Conference on Computer and Knowledge Engineering., (2011)(CrossRef)(Google Scholar)
[13]  Faizan Shaikh, Usman A. Siddiqui, Iram Shahzadi, Syed Uami, Zubair A. Shaik "SWISE: Semantic Web based Intelligent Search Engine", 978-1-4244- 8003-6/10 IEEE, (2010)(CrossRef)(Google Scholar)
[14]  Gopal Pandey,” The Semantic Web: An Introduction and Issues”, International Journal of Engineering Research and Applications, Jan-Feb (2012), vol.2, Issue 1, pp.780-786.

CITATION

  • APA:
    Yan,Z.(2019). An Outline Implementation for Habitual Production of Ontology from RDF To Medical Data. International Journal of Hybrid Information Technology, 12(1), 1-8. 10.21742/IJHIT.2019.12.1.01
  • Harvard:
    Yan,Z.(2019). "An Outline Implementation for Habitual Production of Ontology from RDF To Medical Data". International Journal of Hybrid Information Technology, 12(1), pp.1-8. doi:10.21742/IJHIT.2019.12.1.01
  • IEEE:
    [1] Z.Yan, "An Outline Implementation for Habitual Production of Ontology from RDF To Medical Data". International Journal of Hybrid Information Technology, vol.12, no.1, pp.1-8, May. 2019
  • MLA:
    Yan Zhigang. "An Outline Implementation for Habitual Production of Ontology from RDF To Medical Data". International Journal of Hybrid Information Technology, vol.12, no.1, May. 2019, pp.1-8, doi:10.21742/IJHIT.2019.12.1.01
 

COPYRIGHT

Creative Commons License
© 2019 Yan Zhigang. Published by Global Vision Press. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CCBY4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ISSUE INFO

  • Volume 12, No. 1, 2019
  • ISSN(p):1738-9968
  • ISSN(e):2652-2233
  • Published:May. 2019

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