An intelligent knowledge sharing system for web communities

Christian Bauckhage, Tansu Alpcan, Sachin Agarwal, Florian Metze, Robert Wetzker, Milena Ilic, Sahin Albayrak

Abstract: This paper presents an expert peering system for information exchange in the knowledge society. Our system realizes an intelligent, real-time search engine for enterprise Intranets or online communities that automatically relays user queries to knowledgable specialists. According to its very nature, the system requires a sound integration of concepts drawn from various areas of Computer Science. In addition to our solutions to problems in scalable processing, data transfer, and networking, we also address issues of interface design and usability, as well as aspects of machine intelligence. Results obtained from extensive experiments demonstrate the efficiency and robustness of our system and convey its potential for next generation web services.