Recent Submissions

  • Unsupervised Event Extraction from News and Twitter 

    Xuan, Zhang; Wei, Huang; Ji, Wang; Tianyu, Geng (2014-05-11)
    Living in the age of big data, we are facing massive information every day, especially that from the mainstream news and the social networks. Due to its gigantic volume, one may get frustrated when trying to identify the ...
  • Epidemiology Network 

    Sundar, Naren; Xu, Kui (2014-05-11)
    This project aims at developing an RDF graph building service for Cyber Infrastructure for Network Science (CINET). The purpose of this service is to do web crawling and find digital contents related to user requests. More ...
  • IDEAL Pages 

    Farghally, Mohammed; Elbery, Ahmed (2014-05-10)
    The main goal of this project is to provide a convenient Web enabled interface to a large collection of event-related webpages supporting the two main services of browsing and searching. We first studied the events and ...
  • Twitter Metadata 

    Shuffett, Michael (2014-05-10)
    A number of projects and research efforts work with collections of tweets. Of particular interest is the collection of tweets related to world events. Many organizations have their own individual tweet collections regarding ...
  • CINET Registry 

    Agashe, Aditya; Hayatnagarkar, Harshal; Joshi, Sarang (2014-05-09)
    Cyber-infrastructure for Network Science (CINET) is a computational and analytic framework for the network science researcher and education. The cyber-infrastructure (CI) part of CINET is responsible for coordinating the ...
  • Qatar content classification 

    Handosa, Mohamed (2014-05-09)
    This reports on a term project for the CS660 Digital libraries course (Spring 2014). The project has been conducted under the supervision of Prof. Edward Fox and Mr. Tarek Kanan. The goal is to develop an Arabic newspaper ...
  • Ensemble Classification Project 

    Alabdulhadi, Mohammed H.; Kannan, Vijayasarathy; Soundarapandian, Manikandan; Hamid, Tania (2014-05-08)
    Transfer learning unlike traditional machine learning is a technique that allows domains, tasks and distributions used in training and testing to be different. Knowledge gained from one domain can be utilized to learn a ...
  • Knowledge Building and Sharing: A Metamodel for Guided Research, Learning, and Application 

    Zeitz, Kimberly; Frisina, Chris (2014-05-07)
    Specific field methodology and models cannot be an afterthought when designing, developing, or administering any kind of technology or system. However, the mass amount of techniques and options can be both overwhelming ...