(Enter summary)
Abstract: The Web is less agent-friendly than we might hope. Most information on the Web is presented
in loosely structured natural language text with no agent-readable semantics. HTML annotations
structure the display of Web pages, but provide virtually no insight into their content. Thus, the
designers of intelligent Web agents need to address the following questions: (1) To what extent
can an agent understand information published at Web sites? (2) Is the agent's understanding
sufficient to provide... (Update)
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BibTeX entry: (Update)
B. Doorenbos, O. Etzioni, and D. Weld. A scalable comparison-shopping agent for the world-wide web. In Proc. of the First Int'l Conf. on Autonomous Agents, pages 39--48, February 1997. http://citeseer.ist.psu.edu/doorenbos97scalable.html More
@inproceedings{ doorenbos97scalable,
author = "Robert B. Doorenbos and Oren Etzioni and Daniel S. Weld",
title = "A Scalable Comparison-Shopping Agent for the World-Wide Web",
booktitle = "Proceedings of the First International Conference on Autonomous Agents (Agents'97)",
publisher = "ACM Press",
address = "Marina del Rey, CA, USA",
editor = "W. Lewis Johnson and Barbara Hayes-Roth",
pages = "39--48",
year = "1997",
url = "citeseer.ist.psu.edu/doorenbos97scalable.html" }
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