Many challenges of bringing communicating multiagent systems to the Web require ontologies. The integration of agent technology and ontologies could significantly affect the use of Web services and the ability to extend programs to perform tasks for users more efficiently and with less human intervention.

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Proper use of headings in web pages can make navigation more efficient for blind web users by indicating semantic divisions in the page. Unfortunately, many web pages do not use proper HTML markup (h1-h6 tags) to indicate headings, instead using visual styling to create headings, thus making the distinction between headings and other page text indistinguishable to blind users. In a user study in which sighted participants labeled headings on a set of web pages, participants did not often agree on which elements on the page should be labeled as headings, suggesting why headings are not used properly on the web today. To address this problem, we have created a system called HeadingHunter that predicts whether web page text semantically functions as a heading by examining visual features of the text as rendered in a web browser. Its performance in labeling headings compares favorably with both a manually-classified set of heading examples and the combined results of the sighted labelers in our study. The resulting system illustrates a general methodology of creating simple scripts operating over visual features that can be directly included in existing tools. Categories and Subject Descriptors K.4.2 [Social Issues]: Assistive technologies for persons