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Integrated Support For Data Archaeology (1993)
| Content Provider | CiteSeerX |
|---|---|
| Author | Brachman, Ronald Halper, Fern Selfridge, Peter G. Kirk, Thomas Terveen, Loren G. Lazar, Alan Altman, Boris Mcguinness, Deborah L. Borgida, Alex Resnick, Lori Alperin |
| Abstract | Corporate databases increasingly are being viewed as potentially rich sources of new and valuable knowledge. Various approaches to"discovering" or "mining " such knowledge have been proposed. Here we identify an important and previously ignored discovery task, which we call data archaeology. Data archaeology is a skilled human task, in which the knowledge sought depends on the goals of the analyst, cannot be specified in advance, and emerges only through an iterative process of data segmentation and analysis. We describe a system that supports the data archaeologist with a natural, objectoriented representation of an application domain, a powerful query language and database translation routines, and an easy-to-use and flexible user interface that supports interactive exploration. A formal knowledge representation system provides the core technology that facilitates database integration, querying, and the reuse of queries and query results. Keywords: data archaeology, knowledge discov... |
| File Format | |
| Volume Number | 2 |
| Journal | International Journal of Intelligent and Cooperative Information Systems |
| Language | English |
| Publisher Date | 1993-01-01 |
| Access Restriction | Open |
| Subject Keyword | Data Archaeology Various Approach Corporate Database Iterative Process Valuable Knowledge Interactive Exploration Application Domain Powerful Query Language Database Translation Routine Discovery Task Data Archaeologist Skilled Human Task Core Technology Knowledge Discov Flexible User Interface Objectoriented Representation Data Segmentation Database Integration Query Result Rich Source Formal Knowledge Representation System |
| Content Type | Text |
| Resource Type | Article |