Semantic Indexing for a Complete Subject Discipline

摘要

As part of the Illinois Digital Library Initiative (DLI) project we developed "scalable semantics" technologies. These statistical techniques enabled us to index large collections for deeper search than word matching. Through the auspices of the DARPA Information Management program, we are developing an integrated analysis environment, the Interspace Prototype, that uses "semantic indexing" as the foundation for supporting concept navigation. These semantic indexes record the contextual correlation of noun phrases, and are computed generically, independent of subject domain.