Paper Info
Title
SM4AM: A Semantic Metamodel for Analytical Metadata
Abstract
Next generation BI systems emerge as platforms where traditional BI tools meet semi-structured and unstructured data coming from the Web. In these settings, the user-centric orientation represents a key characteristic for the acceptance and wide usage by numerous and diverse end users in their data analysis tasks. System and user related metadata are the base for enabling user assistance features. However, current approaches typically store these metadata in ad-hoc manners. In this paper, we propose a generic and extensible approach for the definition and modeling of the relevant metadata artifacts. We present SM4AM, a Semantic Metamodel for Analytical Metadata created as an RDF formalization of the Analytical Metadata artifacts needed for user assistance exploitation purposes in next generation BI systems. We consider the Linked Data initiative and its relevance for user assistance functionalities. We discuss the metamodel benefits and present directions for future work.
Year
DOI
Venue
2014
10.1145/2666158.2666182
DOLAP
Keywords
Field
DocType
metamodel,rdf,data warehouse and repository,bi 2.0,user assistance,metadata,business intelligence,database administration,information systems,database management,linked data
Metadata repository,Data mining,Metadata,World Wide Web,User assistance,Meta Data Services,Data element,Computer science,Metadata modeling,Database,Database catalog,Software mining
Conference
Citations 
PageRank 
References 
4
0.43
19
Authors
4
Name
Order
Citations
PageRank
Jovan Varga1244.62
oscar e romero240.43
Torben Bach Pedersen32102181.24
Christian Thomsen49512.10