Name
Title | ||
|---|---|---|
Embedding Term Similarity and Inverse Document Frequency into a Logical Model of Information |
Abstract | ||
|---|---|---|
We propose a novel approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. The ability of the logic to handle expressive representations along with the use of such classical notions are promising characteristics for IR systems. The approach proposed here has been efficiently implemented and experiments against test collections are presented. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1002/asi.10209 | JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY |
DocType | Volume | Issue |
Journal | 54 | 4 |
ISSN | Citations | PageRank |
1532-2882 | 5 | 0.46 |
References | Authors | |
12 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David E. Losada | 1 | 326 | 40.63 |
| Alvaro Barreiro | 2 | 226 | 22.42 |