1	Intelligent Agents in Digital Libraries CS6210 Class Presentation Qiu Long and Tok Wee Hyong (qiul,tokwh}@comp.nus.edu.sg
2	Overview Motivation Intelligent Agents in action! UMDL Zuno What’s the next step?
3	Motivation Be able to handle large number of content providers Rich collection of information that could be stored in digital libraries Large collection spanning multiple distributed databases Need to query information across several digital library Need for a scalable digital library architecture Remove single point of failure or bottleneck Knowbots (Kahn, R and Cerf, V – 1988) Primary medium of communication and interaction between various major components in the digital library
4	Intelligent Agents Software components Communication Interoperable with other agents Communicate with their peers via message exchanges Autonomous (=> local or decentralized control) Process knowledge and draw inferences Reactive Proactive Adaptive
5	University of Michigan Digital Library (UMDL) Information space divided into 2 levels Conspectus: Stores a set of collection descriptors (E.g Search engine capabilities, document structure) Collection: Stores the actual documents in its native format
6	UMDL – Intelligent Agents An agent in UMDL Represent an element of the digital library Communicate and negotiate with other agents via KQML Consists of 3 main types of agents User Interface Agents (UIAs) Collection Interface Agents (CIAs) Mediator Agents
7	UMDL –Agents in Action!
8	ZunoDL (Zuno Digital Library) Agent-based Decentralized framework Domain independence WWW front-end Information economy Decentralized, dynamic supply & demand, efficiency desired Consumer, producer and broker
9	ZunoDL: Agents Producer Agents Library Service Agents (LSAs) Catalogue Agents(CAs) Facilitator Agents Search Agents(SAs) Consumer Agents User Interface Agents (UIAs)
10	ZunoDL System Structure
11	Conclusion Digital Libraries and Agent-based System UMDL Zuno Issues addressed Distributed data & control Lack of global viewpoint Dynamic environment Efficiency
12	Agent commonalities – What’s the next Step? Moving from task-oriented agents towards intelligent, learning agents Continuous learning Mimicking expert users Improving on the exploration process Security
13	Q&A