Abstract
The conventional relational database management systems (RDBMSs) are not flexible enough to
support vague retrieval capabilities directly. That means when available data in a relational
database do not match a user?s query precisely, the conventional RDBMSs will only return an
empty result set to the user. This limits their applicability to domains where only crisp answers are
meaningful. For many other application domains in the commercial world nowadays, however, the
users also expect not only crisp results returned but also some other results close to the query in a
certain sense. This capability of the applications is particularly very important as well for modern
information retrieval systems in the digital age. In this paper, we discuss the lack and the need of
supporting vague retrieval capabilities in the existing RDBMSs, introduce some previous prominent
researches related to this topic in both the conventional RDBMSs and modern information retrieval
systems; and eventually, we will present our most recent achievements in this field as well as
introducing topics of interest for future researches.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th Interdisciplinary Information Management Talks - IDIMT 2002 |
| Number of pages | 12 |
| Publication status | Published - Sept 2002 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
