Brenda Praggastis

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
While streaming data have become increasingly more popular in business and research communities, semantic models and processing software for streaming data have not kept pace. Traditional semantic solutions have not addressed transient data streams. Semantic web languages (e.g., RDF, OWL) have typically addressed static data settings and linked data(More)
Stream reasoning is an exciting multidisciplinary research area that combines stream processing and semantic reasoning. Its goal is to not only process a dynamic data stream, but also to extract explicit and implicit information on-the-fly. One of its challenges is managing history awareness: how much and which historical data should be held and for how(More)
  • 1