SM4MQ: A Semantic Model for Multidimensional Queries

Jovan Varga*, Ekaterina Dobrokhotova, Oscar Romero, Torben Bach Pedersen, Christian Thomsen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
124 Downloads (Pure)

Abstract

On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making. On top of that, Exploratory OLAP is a novel initiative for the convergence of OLAP and the Semantic Web (SW) that enables the use of OLAP techniques on SW data. Moreover, OLAP approaches exploit different metadata artifacts (e.g., queries) to assist users with the analysis. However, modeling and sharing of most of these artifacts are typically overlooked. Thus, in this paper we focus on the query metadata artifact in the Exploratory OLAP context and propose an RDF-based vocabulary for its representation, sharing, and reuse on the SW. As OLAP is based on the underlying multidimensional (MD) data model we denote such queries as MD queries and define SM4MQ: A Semantic Model for Multidimensional Queries. Furthermore, we propose a method to automate the exploitation of queries by means of SPARQL. We apply the method to a use case of transforming queries from SM4MQ to a vector representation. For the use case, we developed the prototype and performed an evaluation that shows how our approach can significantly ease and support user assistance such as query recommendation.

Original languageEnglish
Title of host publicationThe Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I
Number of pages16
PublisherSpringer
Publication date16 May 2017
Pages449-464
ISBN (Print)978-3-319-58067-8
ISBN (Electronic)978-3-319-58068-5
DOIs
Publication statusPublished - 16 May 2017
Event14th Extended Semantic Web Conference, ESWC 2017 - Portoroz, Slovenia
Duration: 28 May 20171 Jun 2017

Conference

Conference14th Extended Semantic Web Conference, ESWC 2017
Country/TerritorySlovenia
CityPortoroz
Period28/05/201701/06/2017
SponsorElsevier, IOS Press
Series Lecture Notes in Computer Science
Volume10249
ISSN0302-9743

Keywords

  • OLAP
  • Query modeling
  • Semantic web
  • Vocabulary

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