• Sorted by Date • Classified by Publication Type • Classified by Research Category •
Wolfgang Ketter, Arun Batchu, Gary Berosik, and Dan McCreary. A Semantic Web Architecture for Advocate Agents to Determine Preferences and Facilitate Decision Making. In Tenth International Conference on Electronic Commerce, pp. –, Innsbruck, Austria, August 2008.
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 advocate - 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.
@InProceedings{Ketter08ICEC,
author = "Wolfgang Ketter and Arun Batchu and Gary Berosik and Dan McCreary",
title = "{A Semantic Web Architecture for Advocate Agents to Determine Preferences and Facilitate Decision Making}",
booktitle = ICEC08,
pages = {--},
year = "2008",
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 advocate -
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.",
address = {Innsbruck, Austria},
month = {August},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Advocate Agents: Business Intelligence},
}
Generated by bib2html.pl (written by Patrick Riley ) on Tue Jun 24, 2008 02:42:47