Paper Info
Title
Ontologies and summarizability in OLAP
Abstract
Summarizability, i.e. the correctness of aggregation operations, is essential for OLAP analysis. Summarizability has commonly been studied in the context of dimension hierarchies, but the role of semantics of measure attributes and aggregation functions (sum, avg, min, max, count) has received less research interest. In this paper, we focus on the relationship between measure and dimension attributes and its effect on summarizability. We define the concept of measure-dimension consistency and show how it can be concluded from an OLAP ontology constructed by using Semantic Web technologies. Measure-dimension consistency can be used both for OLAP cube construction and queries and it is also very useful when integrating data over the internet.
Year
DOI
Venue
2010
10.1145/1774088.1774378
SAC
Keywords
Field
DocType
aggregation function,measure-dimension consistency,semantic web technology,olap cube construction,dimension hierarchy,measure attribute,dimension attribute,olap ontology,aggregation operation,olap analysis,olap,semantic web
Ontology (information science),Ontology,Information retrieval,Computer science,Correctness,Semantic Web,OLAP cube,Online analytical processing,Semantics,The Internet
Conference
Citations 
PageRank 
References 
12
0.83
11
Authors
2
Name
Order
Citations
PageRank
Tapio Niemi116318.90
Marko Niinimäki28311.43