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  1. Proceedings of the 17th International Workshop on Data Warehousing and OLAP (DOLAP '14)
  2. SM4AM: A Semantic Metamodel for Analytical Metadata
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SM4AM: A Semantic Metamodel for Analytical Metadata

Content Provider ACM Digital Library
Author Varga, Jovan Pedersen, Torben Bach Thomsen, Christian Romero, Oscar
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.
Starting Page 57
Ending Page 66
Page Count 10
File Format PDF
ISBN 9781450309998
DOI 10.1145/2666158.2666182
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Rdf Metadata User assistance Bi 2.0 Metamodel
Content Type Text
Resource Type Article
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