Global Platforms for Knowledge Sharing Rules
Melanie Gnasa
Abstract:
The Web provides a global platform for knowledge sharing. However, several shortcomings still arise from the absence of personalization and collaboration in Web searches. More effective retrieval techniques could be provided by means of transforming explicit knowledge into implicit knowledge. The approach presented in this talk is based on a peer-to-peer architecture and aims at complementing traditional Web searches in terms of personalized ranking lists. These local rankings can be accumulated and evaluated in order to supplement the process of knowledge generation by building Virtual Knowledge Communities. Furthermore, the aggregation of ranking lists can be used to identify topics as well as communities of interest. Summarizing all my ideas, I will propose and community-based filtering approach for a peer-to-peer (P2P) architecture. The evaluation of my approach is still an open question, and I am interested in a discussion with other researchers.
About the
Speaker:
For the colloquium
series schedule, see the UMD Computational http://www.umiacs.umd.edu/research/CLIP/colloq/. If you are interested in meeting with the
speaker, please contact Doug <http://www.glue.umd.edu/~oard/>
Oard (oard@umiacs.umd.edu <mailto:oard@umiacs.umd.edu>
).