Evolvable Semantic Platform for Facilitating Knowledge Exchange

The authors propose new formal foundations and design approach to develop an evolving semantic platform for finding experts relevant to events arising in the open environment of modern economical clusters. This work offers a new implementation of probabilistic latent topic modeling method with two linked indicators (categories and experts) to mach expertise. In order to show feasibility of the solution a distributed and service-oriented software prototype of the web-based semantic platform was developed. Solution provides results with high precision scores and evolves in accordance with changes over time. Fusing together ontology-aided expertise matching and service-oriented software design suitable for developing evolvable semantic applications our approach facilitates effective and efficient knowledge exchange. That prototype called EXPERTIZE was evaluated for a particular case of experts finding in the university clusters.