Artificial Intelligence Lab, Department of MIS, University of Arizona / This research presents preliminary results generated from the semantic retrieval research component of the Illinois
Digital Library Initiative (DLI) project. Using a variation of the automatic thesaurus generation techniques, to which we refer as the
concept space approach, we aimed to create graphs of domain-specific concepts (terms) and their weighted co-occurrence
relationships for all major engineering domains. Merging these concept spaces and providing traversal paths across different
concept spaces could potentially help alleviate the vocabulary (difference) problem evident in large-scale information retrieval. We
have experimented previously with such a technique for a smaller molecular biology domain (Worm Community System, with
10+ MBs of document collection) with encouraging results.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105643 |
| Date | 08 1900 |
| Creators | Chen, Hsinchun, Schatz, Bruce R., Ng, Tobun Dorbin, Martinez, Joanne, Kirchhoff, Amy, Lin, Chienting |
| Publisher | IEEE |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Journal Article (Paginated) |
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