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.
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th International Workshop on Data Warehousing and OLAP |
| Number of pages | 10 |
| Publisher | Association for Computing Machinery (ACM) |
| Publication date | 2014 |
| Pages | 57-66 |
| ISBN (Electronic) | 978-1-4503-0999-8 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | International Workshop on Data Warehousing and OLAP - , Hong Kong Duration: 7 Nov 2014 → 7 Nov 2014 Conference number: 17 |
Workshop
| Workshop | International Workshop on Data Warehousing and OLAP |
|---|---|
| Number | 17 |
| Country/Territory | Hong Kong |
| Period | 07/11/2014 → 07/11/2014 |