This project is developing intelligent systems for storing, retrieving, manipulating, and distributing information or knowledge, primarily over major internet protocols like email (STMP) and World-Wide Web (HTTP). There are three research tracks in the project:
This project operates a primary hub for distributing electronic publications by the White House and is developing technology with relevance for citizen communication with government. There are many practical research possibilities in the server track, including issues of distributed hypermedia, automatic polling, group decision-making, and workflow management. Enabling technologies include statistical document categorization/clustering, machine learning (inductive rule learning and neural networks), modular data sharing, document authentication, security/encryption, and tools for developing complex software systems.
The natural language track offers opportunities to help build new, scalable paradigms for machine intelligence. These include reversible parser-generators for unrestricted text, common-sense learning (graphed-based analogy, induction), intersentential coreference, precise control of recursive graph walkers, composing multi-sentence utterances, and a host of deep but operational issues in philosophy of mind. In general, this project offers unique opportunities to pursue research that can have major impacts on the ``information highway,'' electronic access to government, or pushing artificial intelligence beyond microworlds to real-world scale.
John C. Mallery