Authors:
N. Parimala
and
Vinay Gautam
Affiliation:
Jawaharlal Nehru University, India
Keyword(s):
Data warehouse, E-Metadata, Ontology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
We are concerned with providing support for identification of changes to the data warehouse schema. The approach involves, building an extended metadata, E-Metadata, using which we identify changes. In this paper we show the manner in which E-Metadata is built. E-Metadata consists of the technical metadata and an ontology. In the E-Metadata Development Process (EDP), first, the technical metadata is extracted from the metadata of the warehouse schema. In the next stage of ontology development process, the schema terms are extracted from the technical metadata. The data warehouse administrator is asked to provide business terms for the schema terms. We, then search the WordNet for synonyms, hypernyms etc. for these terms. Using this information we build the ontology.