Abstract
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we focus on providing a domain and end-user independent solution for supporting imprecise queries over Web databases without affecting the underlying database. We propose a query processing framework that integrates techniques from IR and database research to efficiently determine answers for imprecise queries. We mine and use approximate functional dependencies between attributes to create precise queries having tuples relevant to the given imprecise query. An approach to automatically estimate the semantic distances between values of categorical attributes is also proposed. We provide preliminary results showing the utility of our approach.
| Original language | English (US) |
|---|---|
| Title of host publication | ACM International Conference Proceeding Series |
| Pages | 73-78 |
| Number of pages | 6 |
| Volume | 67 |
| DOIs | |
| State | Published - 2004 |
| Event | 7th International Workshop on the Web and Databases, WebDB 2004, Colocated with ACM SIGMOD/PODS 2004 - Paris, France Duration: Jun 17 2004 → Jun 18 2004 |
Other
| Other | 7th International Workshop on the Web and Databases, WebDB 2004, Colocated with ACM SIGMOD/PODS 2004 |
|---|---|
| Country/Territory | France |
| City | Paris |
| Period | 6/17/04 → 6/18/04 |
Keywords
- approximate functional dependencies
- imprecise queries
- tuple similarity
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software