There are a variety of funding requests either under consideration or under development.
Pharos is a scalable distributed architecture for locating heterogeneous information sources. The system incorporates a hierarchical metadata structure into a multi-level retrieval system. Queries are resolved through an iterative decision-making process. The first step retrieves coarse-grain metadata, about all sources, stored on local, massively replicated, high-level servers. Further steps retrieve more detailed metadata, about a greatly reduced set of sources, stored on remote, topic-based mid-level servers. We describe the structure, distribution, and retrieval of the metadata in Pharos to enable users to locate desirable informationsources over the Internet. A preliminary feasibility study establishes the viability of the Pharos architecture. A description of a working prototype that extracts collection metadata using automated classification is described next. The various components described in this proposal will be integrated to develop a full implementation of the Pharos architecture.