@article{3100,
  author = {Niki Pavlopoulou, Edward Curry},
  title = {Creating a Window-based Diverse Entity Summarisation for Smart Applications},
  journal = {Journal of Electronic Systems},
  year = {2020},
  volume = {10},
  number = {3},
  doi = {https://doi.org/10.6025/jes/2020/10/3/83-94},
  url = {http://www.dline.info/jes/fulltext/v10n3/jesv10n3_1.pdf},
  abstract = {In the last few years, there is an increase of IoT applications in several areas including smart homes, smart cites and so on which ensure entity-based data streams and work on real-life. While the utilization of the resources is assured, these applications need more notification services to users. Some of these needs can be given by the Publish or Subscribe systems; however, the alternative smart systems can reinforce such systems. They can able to increase the reliability or usability and overcome redundancy awareness. In this research we intend to create a boundary for entity centric Publish or Subscribe systems and work for data fusion and top-k diverse ranking. We experimented our system and found that the top-k fused diverse summary yielded better results than separate notifications and without top-k filtering. The top-k fused diverse summarisation scores well in the testing and an acceptable F-score is arrived. The inferences came at the expense of higher latency and there is some equation lies between latency, the number of forwarded
messages, and expressiveness. },
}