Database analysis using a probabilistic ontology

Details Database analysis using a probabilistic ontology Database analysis using a probabilistic ontology

1998-03-11

2000-07-25

Choules, Jack M.

Data processing: database and file management or data structures

Database design

Data structure types

G06F 1730

Patent

active

060946504

ABSTRACT:
A method and system for efficiently analyzing databases. In one embodiment, the invention is used to analyze data represented in the form of attribute-value (a-v) pairs. A primary step in building the ontology is to identify parent, child and related a-v pairs of each given a-v pair in the database. A parent is an a-v pair that is always present whenever a given a-v pair is present. A child is an a-v pair that is never present unless the given a-v pair is present. Related pairs of a given a-v pair are those a-v pairs present some of the time when a given a-v pair is present. The system calculates relationships between a-v pairs to produce tables of a-v pairs presented according to the relationships. The user performs additional analysis by investigating the a-v pair relationships through a graphical user interface. Additional visualizations of the data are possible such as through Venn diagrams and animations. Plain-text data documents collected, for example, from the Internet can be analyzed. In this case, the system pre-processes the text data to build a-v pairs based on sentence syntax.

REFERENCES:
patent: 5724573 (1998-03-01), Agrawal et al.
patent: 5802254 (1998-09-01), Satou et al.
Ranade et al, DB2 Concepts, Programs, and Design, McGraw-Hill, pp. 63-94, 1990.
Nicolaisen, "WizRule may be the key to avoiding database disasters", Computer Shopper vol. 15, No. 11 pp. 588(3), Nov. 1995.
Ziarko et al. Discovering Attribute Relationships, Dependencies and Rules by Using Rough Sets, Procd of the 28th Hawaii Intnat.Conf. on System Sciences, pp. 293-299, 1995.
Han et al. "Data Driven Discovery of Quantitative Rules in Relational",IEEE trans. on Knowledge and Data Engineering. pp. 29-40, vol. 5 No. 1, Feb. 1993.

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