Improving knowledge management systems with latent semantic analysis
Conference
·
OSTI ID:22030160
- Alion Science and Technology, MA and D Operation, 4949 Pearl East Circle, Boulder, CO 80301 (United States)
- Pearson Knowledge Technologies, 4940 Pearl East Circle, Boulder, CO 80301 (United States)
Latent Semantic Analysis (LSA) offers a technique for improving lessons learned and knowledge management systems. These systems are expected to become more widely used in the nuclear industry, as experienced personnel leave and are replaced by younger, less-experienced workers. LSA is a machine learning technology that allows searching of text based on meaning rather than predefined keywords or categories. Users can enter and retrieve data using their own words, rather than relying on constrained language lists or navigating an artificially structured database. LSA-based tools can greatly enhance the usability and usefulness of knowledge management systems and thus provide a valuable tool to assist nuclear industry personnel in gathering and transferring worker expertise. (authors)
- Research Organization:
- American Nuclear Society, 555 North Kensington Avenue, La Grange Park, IL 60526 (United States)
- OSTI ID:
- 22030160
- Country of Publication:
- United States
- Language:
- English
Similar Records
Latent morpho-semantic analysis : multilingual information retrieval with character n-grams and mutual information.
Parallel Latent Semantic Analysis using a Graphics Processing Unit
Enhancing multilingual latent semantic analysis with term alignment information.
Conference
·
Fri Aug 01 00:00:00 EDT 2008
·
OSTI ID:947254
Parallel Latent Semantic Analysis using a Graphics Processing Unit
Conference
·
Wed Dec 31 23:00:00 EST 2008
·
OSTI ID:962623
Enhancing multilingual latent semantic analysis with term alignment information.
Conference
·
Fri Aug 01 00:00:00 EDT 2008
·
OSTI ID:947265