Information Processing in EventWeb through Detection and Analysis of Connections between Events

Information over the Web is rapidly becoming event-centric with the next age of WWW projected to be an EventWeb in which nodes are inter-connected through diverse types of links. These nodes represent events having informational and experiential information and analysis of these events has a substantial semantic impact regarding enhancement of information search, visualization and story link detection. Information regarding semantics of EventWeb connections is also important for event planning and web management tasks. In this paper, we devise and implement an event algebra for detection and analysis of event connections. As compared to traditional solutions, we process both context-match operators and analytical operators, cater for all event information attributes, and define the strength of connections. We implement a tool to evaluate our algebra over events occurring in the academic domain. We demonstrate an almost perfect precision and recall for context-match operators and high precision and recall for analytical operators.

@article{Mahmood2018,
  title     = {Information Processing in EventWeb through Detection and Analysis of Connections between Events},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {10},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Tariq Mahmood and Shaukat Wasi and Khalid Khan and Syed Hammad Ahmed and Zubair. A. Shaikh},
  doi       = {10.14569/IJACSA.2018.091054},
  url       = {https://doi.org/10.14569/IJACSA.2018.091054}
}