Paper Info
Title
A semantic web architecture for advocate agents to determine preferences and facilitate decision making
Abstract
The world-wide-web (WWW) today consists of distinct, isolated islands of data and metadata. In the near future we expect the availability of a critical mass of data and metadata for use by intelligent agents that act on behalf of human users. These agents would identify, propose and capture new opportunities to assist human users in satisfying their goals, by traversing and acting on this semantically rich and abundant information. We envision a new class of agents, their networks and their communities that exist for the sole purpose of serving as their human "master's" Advocates - Advocate Agents. Advocate Agents learn a human's goals and preferences, collaborate with other agents, mine semantic content, identify new opportunities for action, propose them and finally transact them, while always keeping the human "in-the-loop." This paper discusses this class of distributed, intelligent, Advocate Agents, their potential uses, and proposed architectures and techniques that provide a conceptual framework for these networked agent societies to collaborate in the achievement of their human user's goals.
Year
DOI
Venue
2008
10.1145/1409540.1409554
ICEC
Keywords
Field
DocType
intelligent agent,new opportunity,human user,conceptual framework,abundant information,semantic web architecture,near future,critical mass,new class,advocate agents,advocate agent,isolated island,multi agent systems,semantic web,information theory,semantics,conceptual frameworks,architecture,world wide web,metadata,mining,personalization,electronic commerce,satisfiability
Metadata,World Wide Web,Intelligent agent,Architecture,Computer science,Semantic Web,Multi-agent system,Conceptual framework,Marketing,Semantics,Personalization
Conference
Citations 
PageRank 
References 
5
0.59
13
Authors
4
Name
Order
Citations
PageRank
Wolfgang Ketter133343.50
Arun Batchu250.59
Gary Berosik361.43
Dan McCreary450.59