Payne, T. and Singh, R. and Sycara, K.
Calendar Agents on the Semantic Web.
IEEE Intelligent Systems, 17 (3).
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The Web was designed to be a distributed information space that seamlessly supports human navigation across related, linked documents on the Internet. Its simplicity of use and the easy way users can create Web pages in HTML quickly captured public interest, and it evolved at a phenomenal rate into a vast knowledge base. During this growth, however, Web pages’ information structure, which is crucial to making the information machine understandable, was sacrificed in favor of presentation and physical design. However, this lack of structure has not deterred agents from using information on the Web. Many agent systems track users’ navigation habits as they click throughout the Web so they can suggest new, potentially interesting Web pages to them; others automate access to information sites, replicating human-oriented queries and parsing the resulting pages. Agents have also harvested taxonomies that guide human navigation toward clustered topics of interest. However, in each case, these agents have had to use bespoke parsers (code written specifically to parse a given Web page, such as Yahoo’s restaurant information), and content scrapers (languages for defining rules used to extract information from and manipulate Web pages) to pull out the text before using keyword recognition or natural language recognition techniques to understand the content.
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