SHOE allows authors to add semantic content to web pages and to relate this content to common ontologies that provide contextual information about the domain. Using this information, query systems can provide more accurate responses than are possible with the search engines available on the Web. We discuss our experiences and provide lessons learned from the process. Proceedings, Volume II . Springer, Berlin, 1999.
SHOE allows authors to annotate their pages with ontology-based knowledge about page contents.
In previous papers, we discussed how the semantic knowledge provided by SHOE allows users to issue queries that are much more sophisticated than keyword search techniques, including queries that require retrieval of information from many sources. Here, we expand upon this idea by describing how SHOE's ontologies allow agents to understand more than what is explicitly stated in Web pages through the use of context, inheritance and inference. We use examples to illustrate the usefulness of these features to Web agents and query engines. In AI and Information Integration. Papers from the 1998 Workshop.