Name
Abstract | ||
|---|---|---|
We present an approach to flexible querying by exploiting similarity knowledge hidden in the information base. The knowledge
represents associations between the terms used in descriptions of objects. Central to our approach is a method for mining
the database for similarity knowledge, representing this knowledge in a fuzzy relation, and utilizing it in softening of the
query. The approach has been implemented, and an experiment has been carried out on a real-world bibliographic database. The
experiments demonstrated that without much sophistication in the system, we can automatically to derive domain knowledge that
corresponds to human intuition, and utilize this knowledge to obtain a considerable increase in the quality of the search
system.
|
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/BFb0056004 | FQAS |
Keywords | Field | DocType |
knowledge discovery,flexible querying,domain knowledge | Information system,Data mining,Information retrieval,Domain knowledge,Bibliographic database,Computer science,Knowledge-based systems,Knowledge extraction,Knowledge base,Knowledge acquisition,Open Knowledge Base Connectivity | Conference |
ISBN | Citations | PageRank |
3-540-65082-2 | 5 | 0.57 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henrik Legind Larsen | 1 | 545 | 45.16 |
| Troels Andreasen | 2 | 505 | 43.70 |
| Henning Christiansen | 3 | 588 | 46.57 |