Authors:
Andrei Vanea
and
Rodica Potolea
Affiliation:
Technical University of Cluj-Napoca, Romania
Keyword(s):
Data warehouse, Semantic, Metadata, Ontology, Business intelligence.
Related
Ontology
Subjects/Areas/Topics:
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Non-Relational Databases
;
Query Languages and Query Processing
Abstract:
Data warehouses are versatile systems capable of storing and processing large quantities of data. They are most suited for aggregating and reporting. The data managed by these systems vary from simple, numeric data, to more complex, multimedia data. One of the domains in which multimedia data is intensively produced is medicine. We present a method for semantically enhancing the metadata stored in a medical multimedia data warehouse. This semantically rich environment will gain in autonomy, reducing the dependence on human intervention to resolve new, unforeseen queries. Furthermore, the use of the semantic relations defined in the ontology allows the system to speed up the execution of a query, by computing the results of new, unforeseen queries, from the fact data already stored in the data warehouse.