Abstract
Medical information retrieval as a specialized case of information retrieval is subject to many classic information retrieval problems (i.e., information overload, synonymy and polysomy). This research investigated the application of techniques successfully used in previous information retrieval research to the challenges of medical information retrieval. We used two biomedical document collection testbeds, CANCERLIT and TOXLINE. After evaluating three existing tools of the National Library of Medicine, we decided to write our own Noun Phrase parser which will be included in future IR research with the TOXLINE and CANCERLIT databases.
| Original language | English (US) |
|---|---|
| Pages | 258 |
| Number of pages | 1 |
| State | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 2nd ACM International Conference on Digital Libraries - Philadelphia, PA, USA Duration: Jul 23 1997 → Jul 26 1997 |
Other
| Other | Proceedings of the 1997 2nd ACM International Conference on Digital Libraries |
|---|---|
| City | Philadelphia, PA, USA |
| Period | 7/23/97 → 7/26/97 |
ASJC Scopus subject areas
- Software
- Information Systems
- Computer Science Applications
- Library and Information Sciences