Temporary logo-symbol, the Aardaker
Adaptive Rules-Driven Architecture for Knowledge Extraction
We present a prototype named Adaptive Rules-Driven Architecture for Knowledge Extraction (ARDAKE).
Our environment integrates a Business Rules Engine (BRE) and/or Semantic Reasoner with the Unstructured Information Management Architecture (UIMA).
We invite you to read our most recent papers on the ARDAKE platform, as well as innovative applications in News Trading.
We are also most proud to announce that Wassim El-Kass has obtained his Ph.D. in Information Science and Technology at University of Quebec in Outaouais (UQO).
Wassim was also awarded 1st place and a prize of CAN$3000 for his thesis project at the National Capital Region Thesis Competition co-organized by Sprott, Telfer, and UQO