Semantic brokering over dynamic heterogeneous data sources in InfoSleuth™

被引：24

作者：

Nodine, M

Bohrer, W

Ngu, AHH

机构：

来源：

15TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS | 1999年

关键词：

D O I：

10.1109/ICDE.1999.754951

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

InfoSleuth(1) is an agent-based system for information discovery and retrieval in a dynamic, open environment. This paper discusses InfoSleuth's multi-broker design and implementation. InfoSleuth's brokering function combines reasoning over both the syntax and semantics of agents in the domain. The broker must reason over explicitly advertised information about agent capabilities to determine which agent can best provide the requested services. Brokering in InfoSleuth is a match-making process, recommending agents that provide services to agents requesting services. Robustness and scalability issues dictate that brokering must be distributable across collaborating processes. 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 non-broker agents. This results in a robust, scalable brokering system.

引用

页码：358 / 365

页数：8