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ACCESSING THE CONFERENCE SPEAKER DATA THROUGH FOAF AND SWRC ONTOLOGIES

ACCESSING THE CONFERENCE SPEAKER DATA THROUGH FOAF AND SWRC ONTOLOGIES. By D.Teja Santosh and K. Sudheer Babu Assistant Professor Computer Science and Engineering GITAM University Rudraram , Hyderabad.

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ACCESSING THE CONFERENCE SPEAKER DATA THROUGH FOAF AND SWRC ONTOLOGIES

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  1. ACCESSING THE CONFERENCE SPEAKER DATA THROUGH FOAF AND SWRC ONTOLOGIES By D.TejaSantosh and K. SudheerBabu Assistant Professor Computer Science and Engineering GITAM University Rudraram, Hyderabad INDAS-14

  2. Aim: To discover and access the conference speaker data from a single page using FOAF and SWRC Ontologies. Technologies Used: RDF, Ontologies. Novelty of the concept: • Accessing multiple speaker data from their RDF files and Ontology data which are guaranteed with updated data. INDAS-14

  3. ACCESSING SPEAKER 1 DATA INDAS-14

  4. ACCESSING SPEAKER 2 DATA INDAS-14

  5. CONFERENCE LOCATION – FROM GOOGLE IMAGE SEARCH INDAS-14

  6. Disadvantages with web 2.0 accessing approach • Huge time spending reaching various site pages. • Cannot be sure of updated information from URL visited web pages. • Speakers of the conference cannot be linked with each other for knowing various pieces of information like their areas of interest, number of key note addresses that speaker had given and so on. INDAS-14

  7. How RDF reduces this problem? • The RDF model is made up of triples: subject-predicate-object. • These triples are uniquely identified on the web through URI. [Like “PASSPORT NUMBER” to uniquely identify a person across the real world]. • This lets machines understand human knowledge statements. [Computer saying: Oh!] • The RDF model is essentially the canonicalization of a (directed) graph, and so as such has all the advantages (and generality) of structuring information using graphs. • These RDF triples are connected to each other to form a graph with which one can access the multiple speaker data from a singe web page. INDAS-14

  8. INDAS-14

  9. What Ontologies do in addition to RDF? • Ontologies enable the end user to make semantic oriented queries for retrieving exact results. • Ontologies are the domain specific semantic islands which are ever scalable. • When merged accordingly, even more semantic specific results which are accurate in nature can be obtained. • Supports Vocabulary reuse efficiently. • Also, Ontologies are helpful to clearly and uniquely classify data items following the constraints. • Data can be reasoned using Ontology. INDAS-14

  10. SEMANTICS IN THIS PROCESS • foaf: knows • Linking the speakers of the Conference • swrc:Conference • Providing the name and location of the Conference • swrc:University • Providing the name of the University • foaf:depiction • Displaying the image of the Conference Venue, Speakers INDAS-14

  11. RDF Tabulator classifying the details INDAS-14

  12. How speed one can access the speaker details from RDF data? LEGEND: --------------- 1. WPDT – Web Page Dereferencing Time (in seconds). 2. NSA – Number of servers accessed. 3. WPS – Web page Size (in KB). INDAS-14

  13. TIME COMPARISON BETWEEN HTML FILE AND RDF FILE INDAS-14

  14. REFERENCES • Greg Ross. (January 31, 2005), “An introduction to Tim Berners-Lee's Semantic Web”, available at: http://www.techrepublic.com/article/an-introduction-to-tim-berners-leessemantic-web/. 2. Iannella, R. (1999). An Idiot's guide to the Resource Description Framework. Available: http://www.dstc.edu.au/cgibin/redirect/rd.cgi?http://archive.dstc.edu.au/RDU/reports/RDF-Idiot/. 3. Walsh, Norman (October 03, 1998), “A Technical Introduction to XML”, available at: http://www.xml.com/pub/a/98/10/guide0.html. 4. W3C (September 2009). "World Wide Web Consortium (W3C) About the Consortium". Retrieved 8 September 2009. 5. Richard Cyganiak. (February 2011).“Top 100 most popular RDF namespace prefixes”. Retrieved from http://richard.cyganiak.de/blog/2011/02/top-100-most-popular-rdfnamespace-prefixes/. 6. York Sure, Stephan Bloehdorn, Peter Haase, Jens Hartmann, and Daniel Oberle,” The SWRC Ontology Semantic Web for Research Communities” In: Proceedings of the 12th Portuguese Conference on Artificial Intelligence (EPIA 2005)) 218–231. 7. Dumbill, E. (2002a), “Finding friends with XML and RDF”, IBM’s XML Watch”, available at:www-106.ibm.com/developerworks/xml/library/xfoaf.html. INDAS-14

  15. THANKYOU INDAS-14

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