Descriptor
| Databases | 2 |
| Information Systems | 2 |
| Knowledge Representation | 2 |
| Abstracting | 1 |
| Case Studies | 1 |
| Data Processing | 1 |
| Electronic Text | 1 |
| Expert Systems | 1 |
| Improvement | 1 |
| Information Retrieval | 1 |
| Natural Language Processing | 1 |
| More ▼ | |
Source
| Information Processing &… | 2 |
Author
| Belkin, N. J. | 1 |
| Maybury, Mark T. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedBelkin, N. J.; And Others – Information Processing & Management, 1995
Reports on two studies in the second Text Retrieval Conference (TREC-2) program that investigated the effect on retrieval performance of combination of multiple representations of TREC topics. Six methods of query combinations and the combination of the same queries on different databases are examined. Results show that combining evidence from…
Descriptors: Case Studies, Databases, Improvement, Information Retrieval
Peer reviewedMaybury, Mark T. – Information Processing & Management, 1995
Describes and evaluates a system that selects key information from an event database by reasoning about event frequencies, frequencies of relations between events, and domain-specific importance measures. The system aggregates similar information and plans a summary tailored to a stereotypical user. (AEF)
Descriptors: Abstracting, Data Processing, Databases, Electronic Text
