CFP last date
20 June 2024
Reseach Article

An Overview of Building Blocks of Semantic Web

by Shweta Shrivastava, Sanjay Agrawal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 10
Year of Publication: 2016
Authors: Shweta Shrivastava, Sanjay Agrawal

Shweta Shrivastava, Sanjay Agrawal . An Overview of Building Blocks of Semantic Web. International Journal of Computer Applications. 152, 10 ( Oct 2016), 17-20. DOI=10.5120/ijca2016911802

@article{ 10.5120/ijca2016911802,
author = { Shweta Shrivastava, Sanjay Agrawal },
title = { An Overview of Building Blocks of Semantic Web },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 10 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016911802 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:57:49.611119+05:30
%A Shweta Shrivastava
%A Sanjay Agrawal
%T An Overview of Building Blocks of Semantic Web
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 10
%P 17-20
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

The world wide web expanded day by day ,many website (avg 51 million website)added to the web every year. Almost all organization support open data and make their data available over the web, which increase innovation. The Semantic Web is an evolution and extension of the existing Web that allows computers to manipulate data and information Semantic web is based on the content oriented description of digital documents with standardized vocabularies that provide machine understandable semantics .Basic building block for Semantic web are Ontology ,RDF/OWL ,SPARQL. Semantic web vocabulary can be considered as a special form of ontology. Semantic web provide connection between human and computer by making the computer think more like a human ,It is artificial intelligence which can intelligently learn and understand the semantic. . Semantic web is also understand by Web 3.0 which is the executable and read/write Web. The idea of the Semantic Web is still undergoing research and development.

  1. P Shvaiko, J Euzenat “Ontology Matching: State of the Art And Future Challenges IEEE Transaction on Knowledge and DataEngineering”, Vol. 25, No1. January 2013 Page(s): 158 – 176.
  2. Farrag, Tamer Ahmed ,Saleh, Ahmed Ibrahim ; Ali, Hesham Arafat “ Toward SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine”IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No5. May 2013 pages 1135-1147
  3. A Telang, C Li, S Chakravarthy “One Size Does Not Fit All: Toward User and Query-Dependent Ranking for Web Databases” IEEE transaction on knowledge and data engineering vol 24, no9, September 2012 pages 1671 - 1685 .
  4. P Kremen, Z Kouba “Ontology-Driven Information System Design” IEEE transaction on System ,Man and cybernetics-PartC: Applications and Reviewes ,Vol. 42, No. 3,May 2012 pages 334 – 344.
  5. P Panov, S Dzeroski, L Soldatova “OntoDM: An Ontology of Data Mining” 2008 IEEE International Conference on Data Mining Workshops Page(s): 752 - 760 .
  6. Dimitrios A. Koutsomitropoulos, Ricardo Borillo Domenech, Georgia D. Solomou “A Structured Semantic Query Interface for Reasoning Based Search and Retrieval “The Semntic Web : Research and Applications Lecture Notes in Computer Sc. Volume 6643,2011,pp17-31.
  7. J Zhai, K Zhou - Information Science and Management “Semantic Retrieval for Sports Information Based on Ontology and SPARQL” Published in: Information Science and Management Engineering (ISME), 2010 International Conference of  (Volume:1 )Date of Conference:7-8 Aug. 2010 Page(s): 395 - 398 .
  8. Z Li, YL Zheng, SN Li, WW Liang “A Knowledge SharingConvergence Platform Based on OWL-S and Semantic Relations” Published in Software Engineering (WCSE), 2010Second World Congress on  (Volume:1 ) 19-20 Dec. 2010Page(s): 65 - 68 .
  9. J. Euzenat and P. Shvaiko, “Ontology Matching” Springer, 2007.
  10. F. Giunchiglia, M. Yatskevich, and P. Shvaiko, “Semantic Matching: Algorithms and Implementation,” on Data Semantics, vol. 9, pp. 1-38, 2007.
  11. Web Services Description Language (WSDL), W3C Note, http://, 2001.
  12. Web Ontology Language for Services (OWL-S), W3C Member Submission,, 2004.
  13. B. Di Martino, “Semantic Web Services Discovery Based on Structural Ontology Matching,” Int’l J. Web and Grid Services, vol. 5, no. 1,2009 pp. 46-65.
  14. OWL,, 2004.
  15. Z Yun, S Huayou, Q Hengnian “A Semantic Web Services discovery mechanism design and implementation based on OWL Ontology “ Educational and Network Technology (ICENT), 2010 International Conference on 25-27 June 2010 Page(s): 139 - 143.
Index Terms

Computer Science
Information Sciences


Semantic Web Ontology RDF/OWL SPARQL Web 3.0 Search. Machine Understandable