Semantic Indexing for a Complete Subject Discipline

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. Using this technology, we were able to compute semantic indexes for a subject discipline. In particular, in the summer of 1998, we computed concept spaces for 9.3M MEDLINE bibliographic records from the National Library of Medicine (NLM) which extensively covered the biomedical literature for the period from 1966 to 1997. In this experiment, we first partitioned the collection into smaller collections (re...

• Type: Conference
• Year: 1999
• Where: DL
• Authors: Yi-Ming Chung, Qin He, Kevin Powell, Bruce R. Schatz
• Keywords: Digital Library, DL 1999, Semantic Indexes, Semantic Indexing, Semantics