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  • This is a class project by [[User:Pavan]], supervised by [[User:Pablo]]. It has been shown that social networks pla ...ng services is very common. Short is anywhere between 25 to 30 characters (Pavan, can you please confirm this? We now have the extracted URLs and can count
    8 KB (1,225 words) - 16:51, 26 May 2010
  • ...assant.net Alex Passant] (DERI), [http://knoesis.wright.edu/students/pavan Pavan Kapanipathi] (Kno.e.sis) and [http://knoesis.wright.edu/amit Amit P. Sheth
    17 KB (2,378 words) - 14:21, 4 February 2016
  • '''Team''': Pablo N. Mendes, Pavan Kapanipathi, Delroy Cameron
    2 KB (244 words) - 05:32, 19 June 2010
  • * [http://knoesis.wright.edu/students/pavan Pavan Kapanipathi] (@pavankaps)
    9 KB (1,216 words) - 17:17, 22 January 2016
  • .../farahnaz/ Farahnaz Golroo], [http://knoesis.wright.edu/researchers/pavan/ Pavan Kapanipathi], [http://knoesis.wright.edu/researchers/sujan/ Sujan Perera],
    26 KB (3,749 words) - 23:25, 2 May 2019
  • * [http://knoesis.wright.edu/students/pavan Pavan Kapanipathi] (@pavankaps)
    8 KB (1,136 words) - 20:12, 17 March 2011
  • [http://knoesis.org/researchers/pavan Pavan Kapanipathi]<br>
    5 KB (715 words) - 22:16, 13 April 2011
  • # Pavan Kapanipathi, Julia Anaya, Amit Sheth, Brett Slatkin, and Alexandre Passant. # Pablo N. Mendes, Alexandre Passant, and Pavan Kapanipathi. Twarql: tapping into the wisdom of the crowd. I-SEMANTICS ’1
    16 KB (2,594 words) - 20:35, 19 September 2011
  • *After showing the demo to Pavan, it was decided that the graph looked too plain, so some more styling was d * Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi and Amit P. Sheth -- [http://knoesis.wright.edu/library/downloa
    11 KB (1,671 words) - 04:51, 13 December 2011
  • ...k-events-tweets-dataset git] of [http://knoesis-svn.cs.wright.edu/svn_pub/pavan/projects/continuous-semantics/ knoesis-svn] with * [http://knoesis.org/researchers/pavan/ Pavan Kapanipathi]
    13 KB (1,872 words) - 20:48, 7 July 2015
  • *Pavan Kapanipathi
    2 KB (299 words) - 20:56, 5 January 2015
  • **Amit Sheth, '''Ashutosh Jadhav''', Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang **'''Ashutosh Jadhav''', Hemant Purohit, Pavan Kapanipathi, Pramod Ananthram, Ajith Ranabahu, Vinh Nguyen, Pablo Mendes, A
    25 KB (3,254 words) - 19:27, 13 April 2016
  • * [http://knoesis.org/researchers/pavan Pavan Kapanipathi]-Contact
    24 KB (3,568 words) - 20:49, 21 January 2015
  • * [http://knoesis.org/researchers/pavan Pavan Kapanipathi]
    10 KB (1,551 words) - 03:58, 28 January 2015
  • ...sed techniques, and in dealing with real-world sensor and social data, and Pavan Kapanipathi and Sanjaya Wijeratne on Continuous Semantics. We acknowledge p
    61 KB (8,752 words) - 18:31, 23 October 2014
  • ...sed techniques, and in dealing with real-world sensor and social data, and Pavan Kapanipathi and Sanjaya Wijeratne on Continuous Semantics. We acknowledge p
    50 KB (7,247 words) - 18:36, 1 August 2014
  • ...100175672 Adarsh Alex] <br />[http://knoesis.wright.edu/researchers/pavan/ Pavan Kapanipathi], [http://knoesis.wright.edu/researchers/sujan/ Sujan Perera],<
    18 KB (2,521 words) - 23:32, 2 November 2022
  • ====Pavan====
    9 KB (1,515 words) - 19:19, 27 January 2015
  • ...searchers/sarasi Sarasi Lalithsena], [http://knoesis.org/researchers/pavan Pavan Kapanipathi]
    5 KB (706 words) - 14:51, 7 March 2016
  • ...searchers/sarasi Sarasi Lalithsena], [http://knoesis.org/researchers/pavan Pavan Kapanipathi], [http://knoesis.org/resources/researchers/hussein/ Hussein Al # Lalithsena, Sarasi, Sujan Perera, Pavan Kapanipathi, and Amit Sheth. "Domain-specific hierarchical subgraph extract
    19 KB (2,457 words) - 20:03, 5 June 2020
  • ...rst=Jeremy&last=Brunn Jeremy Brunn], [http://knoesis.org/researchers/pavan Pavan Kapanipathi], [http://knoesis.wright.edu/aboutus/people?first=Alan&last=Sm #Sarasi Lalithsena, Pavan Kapanipathi, Amit Sheth (2016). Harnessing Relationships for Domain-specifi
    16 KB (1,995 words) - 22:39, 12 June 2018
  • * Module 11: Pavan Kapanipathi: Semantic Filtering as an example of Semantic technologies for .../researchers/pramod/ P. Anantharam],[http://knoesis.wright.edu/researchers/pavan/ P. Kapanipathi]: "Semantic Approach to Big Data and Event Processing," Sho
    8 KB (927 words) - 10:15, 9 March 2016
  • * Ashutosh Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Ananthram, Ajith Ranabahu, Vinh Nguyen, Pablo Mendes, A
    26 KB (3,491 words) - 14:24, 12 January 2022
  • * Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. [http://ieeexplore.ieee.org/document/8257982/ Doma * Sarasi Lalithsena, Pavan Kapanipathi and Amit Sheth. [http://knoesis.wright.edu/sites/default/files/
    20 KB (2,525 words) - 15:11, 7 November 2019
  • * Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. [http://ieeexplore.ieee.org/document/8257982/ Doma * Sarasi Lalithsena, Pavan Kapanipathi and Amit Sheth. [http://knoesis.wright.edu/sites/default/files/
    24 KB (3,149 words) - 14:27, 21 March 2023