Mining distributed databases for attribute definitions

Jan M. Zytkow; Zbigniew W. Ras

doi:10.1117/12.339980

25 February 1999 Mining distributed databases for attribute definitions

Jan M. Zytkow, Zbigniew W. Ras

Proceedings Volume 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology; (1999) https://doi.org/10.1117/12.339980
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

The paper focuses on discovery of knowledge needed to establish the shared meaning of attributes in a network of distributed autonomous databases. In this paper, we concentrate on the role of equations as definitions of attribute values. We briefly describe various applications of such definitions, including predictions, knowledge verification, intelligent query answering and several others. We present an interface between a distributed autonomous knowledge system, DAKS, and a discovery system 49er. To find knowledge useful in defining attributed missing in one database, the discovery mechanism of 49er can be applied to other databases. DAKS makes requests for definitions and then manages the discovered definitions, verifies their consistency and applies them in its query- answering mechanism. To put a system of equation-based attribute definitions on a firm theoretical foundation, we introduce semantics, which justifies empirical equations in their definitional role. This semantics augments the earlier developed semantics for rules used as attribute definitions.

Citation Download Citation

Jan M. Zytkow and Zbigniew W. Ras "Mining distributed databases for attribute definitions", Proc. SPIE 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology, (25 February 1999); https://doi.org/10.1117/12.339980

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available