Scalable semantic brokering over dynamic heterogeneous data sources in InfoSleuth

InfoSleuth is an agent-based system for information discovery and retrieval in a dynamic, open environment. Brokering in InfoSleuth is a matchmaking process, recommending agents that provide services to agents requesting services. This paper discusses InfoSleuth's distributed multibroker design...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on knowledge and data engineering 2003-09, Vol.15 (5), p.1082-1098
Main Authors: Nodine, M M, Ngu, A H H, Cassandra, A, Bohrer, W G
Format: Article
Language:English
Subjects:
Advertisements
Data sources
Design engineering
Dynamical systems
Dynamics
Robustness
Semantics
Syntax
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:InfoSleuth is an agent-based system for information discovery and retrieval in a dynamic, open environment. Brokering in InfoSleuth is a matchmaking process, recommending agents that provide services to agents requesting services. This paper discusses InfoSleuth's distributed multibroker design and implementation. InfoSleuth's brokering function combines reasoning over both the syntax and semantics of agents in the domain. This means the broker must reason over explicitly advertised information about agent capabilities to determine which agent can best provide the requested services. Robustness and scalability issues dictate that brokering must be distributable across collaborating agents. Our multibroker design is a peer-to-peer system that requires brokers to advertise to and receive advertisements from other brokers. Brokers collaborate during matchmaking to give a collective response to requests initiated by nonbroker agents. This results in a robust, scalable brokering system.
ISSN:1041-4347
1558-2191
DOI:10.1109/TKDE.2003.1232266