Authors:
Parimala N.
and
Vinay Gautam
Affiliation:
Jawaharlal Nehru University, India
Keyword(s):
Change Identification, Data Warehouse, Multidimensional Schema, Goal-Information, Ontology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Decision Support Systems
;
Domain Analysis and Modeling
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
MetaModeling
;
Models
;
Paradigm Trends
;
Software Engineering
;
Symbolic Systems
Abstract:
Change identification is one of the main challenges for Data Warehouse Schema evolution. Changes to the schema are required, among other situations, when the data warehouse fails to provide information to the decision maker. In this paper we address the issue of identification of changes when such a situation occurs. Towards this, the decision maker is asked to specify the information he/she needs, in business terms, to meet a goal. With the help of ontology and a set of rules we identify whether the information is present in the warehouse or not. The absence of data could be because it is not directly stored or because it is actually absent. In both these cases the changes needed to the data warehouse schema are suggested by the system, called the Change Identification System (CIS).