article

Combining OLAP and information networks for bibliographic data analysis: a survey

Authors:

Sabine Loudcher,

Wararat Jakawat,

Edmundo Pavel Morales,

Cécile FavreAuthors Info & Claims

Scientometrics, Volume 103, Issue 2

Pages 471 - 487

https://doi.org/10.1007/s11192-015-1539-0

Published: 01 May 2015 Publication History

Abstract

In the context of scientometrics and bibliometrics, several research fields are dealing with bibliographic data. In this paper, we will explore how the combination of online analytical processing (OLAP) analysis and information networks could be an interesting issue. In Business Intelligence, OLAP is a technology supported by data warehousing systems. It provides tools for analyzing data according to multiple dimensions and multiple hierarchical levels. At the same time, several information networks (co-authors network, citations network, institutions network, etc.) can be built based on bibliographic databases. Originally, OLAP was introduced to analyze structured data. However, in this paper, we wonder if, by combining OLAP and information networks, we can provide a new way of analyzing bibliographic data. OLAP should be able to handle information networks and be also useful for monitoring, browsing and analyzing the content and the structure of bibliographic networks. The goal of this survey paper is to review previous work on OLAP and information networks dealing with bibliographic data. We also propose a comparison between traditional OLAP and OLAP on information networks and discuss the challenges OLAP faces regarding bibliographic networks.

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Cited By

Zou KXie XLi HWang X(2023)Multithreading Heterogeneous Graph AggregationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.332012736:6(2548-2562)Online publication date: 5-Oct-2023
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Darmont JNovikov BWrembel RBellatreche L(2022)Advances on Data Management and Information SystemsInformation Systems Frontiers10.1007/s10796-021-10235-424:1(1-10)Online publication date: 2-Mar-2022
https://dl.acm.org/doi/10.1007/s10796-021-10235-4
Schuetz CBozzato LNeumayr BSchrefl MSerafini L(2021)Knowledge Graph OLAPSemantic Web10.3233/SW-20041912:4(649-683)Online publication date: 17-Jun-2021
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Index Terms

Combining OLAP and information networks for bibliographic data analysis: a survey
1. Information systems
  1. Information retrieval
  2. Information systems applications

Index terms have been assigned to the content through auto-classification.

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cover image Scientometrics

Scientometrics Volume 103, Issue 2

May 2015

403 pages

ISSN:0138-9130

Issue’s Table of Contents

Copyright © Copyright © 2015 Akadémiai Kiadó, Budapest, Hungary.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 May 2015

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Cited By

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https://dl.acm.org/doi/10.1109/TKDE.2023.3320127
Darmont JNovikov BWrembel RBellatreche L(2022)Advances on Data Management and Information SystemsInformation Systems Frontiers10.1007/s10796-021-10235-424:1(1-10)Online publication date: 2-Mar-2022
https://dl.acm.org/doi/10.1007/s10796-021-10235-4
Schuetz CBozzato LNeumayr BSchrefl MSerafini L(2021)Knowledge Graph OLAPSemantic Web10.3233/SW-20041912:4(649-683)Online publication date: 17-Jun-2021
https://dl.acm.org/doi/10.3233/SW-200419
Ghrab ARomero OSkhiri SZimányi E(2021)TopoGraph: an End-To-End Framework to Build and Analyze Graph CubesInformation Systems Frontiers10.1007/s10796-020-10000-z23:1(203-226)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s10796-020-10000-z
Queiroz-Sousa PSalgado A(2019)A Review on OLAP Technologies Applied to Information NetworksACM Transactions on Knowledge Discovery from Data10.1145/337091214:1(1-25)Online publication date: 13-Dec-2019
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Shakibian HCharkari NJalili S(2018)Multi-kernel one class link prediction in heterogeneous complex networksApplied Intelligence10.1007/s10489-018-1157-748:10(3411-3428)Online publication date: 1-Oct-2018
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Jakawat WFavre CLoudcher S(2016)Graphs enriched by cubes for OLAP on bibliographic networksInternational Journal of Business Intelligence and Data Mining10.1504/IJBIDM.2016.07643511:1(85-107)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1504/IJBIDM.2016.076435

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