AI Applications in Knowledge Navigation and Retrieval
Papers from the AAAI Fall Symposium
Robin Burke, Chair
The explosion of on-line information has brought home to users of the Internet the lesson that information by itself has little value. Information retrieval and browsing systems of the future will need to be knowledge-based systems. They will need to identify important information, organize information spaces, and make useful associations. They will act proactively on the users' behalf, as well as responding to queries. Our focus in this symposium is on knowledge-based approaches to problems of browsing, retrieving, and organizing information. We will showcase a variety of implemented systems that address different areas of knowledge-based information access including web browsing, text analysis, information retrieval, and indexing. These systems employ a wide range of AI techniques from machine learning to parsing to case-based reasoning. What the systems share is a commitment to representing and reasoning about the uses of information as well as its properties.