SM4AM: A Semantic Metamodel for Analytical Metadata

Jovan Varga; Oscar Romero; Torben Bach Pedersen; Christian Thomsen

doi:10.1145/2666158.2666182

SM4AM: A Semantic Metamodel for Analytical Metadata

Jovan Varga, Oscar Romero, Torben Bach Pedersen, Christian Thomsen

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

6 Citationer (Scopus)

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.

Originalsprog	Engelsk
Titel	Proceedings of the 17th International Workshop on Data Warehousing and OLAP
Antal sider	10
Forlag	Association for Computing Machinery
Publikationsdato	2014
Sider	57-66
ISBN (Elektronisk)	978-1-4503-0999-8
DOI	https://doi.org/10.1145/2666158.2666182
Status	Udgivet - 2014
Begivenhed	International Workshop on Data Warehousing and OLAP - , Hong Kong Varighed: 7 nov. 2014 → 7 nov. 2014 Konferencens nummer: 17

Workshop

Workshop	International Workshop on Data Warehousing and OLAP
Nummer	17
Land/Område	Hong Kong
Periode	07/11/2014 → 07/11/2014

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10.1145/2666158.2666182

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Citationsformater

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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 acceptanceand 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-hocmanners. 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.",

author = "Jovan Varga and Oscar Romero and Pedersen, {Torben Bach} and Christian Thomsen",

year = "2014",

doi = "10.1145/2666158.2666182",

language = "English",

pages = "57--66",

booktitle = "Proceedings of the 17th International Workshop on Data Warehousing and OLAP",

publisher = "Association for Computing Machinery",

address = "United States",

note = "International Workshop on Data Warehousing and OLAP, DOLAP ; Conference date: 07-11-2014 Through 07-11-2014",

}

SM4AM: A Semantic Metamodel for Analytical Metadata. / Varga, Jovan; Romero, Oscar; Pedersen, Torben Bach et al.
Proceedings of the 17th International Workshop on Data Warehousing and OLAP. Association for Computing Machinery, 2014. s. 57-66.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - SM4AM: A Semantic Metamodel for Analytical Metadata

AU - Varga, Jovan

AU - Romero, Oscar

AU - Pedersen, Torben Bach

AU - Thomsen, Christian

N1 - Conference code: 17

PY - 2014

Y1 - 2014

N2 - 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 acceptanceand 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-hocmanners. 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.

AB - 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 acceptanceand 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-hocmanners. 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.

U2 - 10.1145/2666158.2666182

DO - 10.1145/2666158.2666182

M3 - Article in proceeding

SP - 57

EP - 66

BT - Proceedings of the 17th International Workshop on Data Warehousing and OLAP

PB - Association for Computing Machinery

T2 - International Workshop on Data Warehousing and OLAP

Y2 - 7 November 2014 through 7 November 2014

ER -

SM4AM: A Semantic Metamodel for Analytical Metadata

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