Show simple item record

dc.contributor.authorGhrab, Amine
dc.contributor.authorRomero Moral, Óscar
dc.contributor.authorSkhiri, Sabri
dc.contributor.authorVaisman, Alejandro
dc.contributor.authorZimányi, Esteban
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2016-02-05T12:53:49Z
dc.date.available2016-08-15T00:30:25Z
dc.date.issued2015
dc.identifier.citationGhrab, A., Romero, O., Skhiri, S., Vaisman, A., Zimányi, E. A framework for building OLAP cubes on graphs. A: East-European Conference on Advances in Databases and Information Systems. "Advances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015: proceedings". Futuroscope, Poitiers: Springer, 2015, p. 92-105.
dc.identifier.isbn978-3-319-23135-8
dc.identifier.urihttp://hdl.handle.net/2117/82627
dc.description.abstractGraphs are widespread structures providing a powerful abstraction for modeling networked data. Large and complex graphs have emerged in various domains such as social networks, bioinformatics, and chemical data. However, current warehousing frameworks are not equipped to handle efficiently the multidimensional modeling and analysis of complex graph data. In this paper, we propose a novel framework for building OLAP cubes from graph data and analyzing the graph topological properties. The framework supports the extraction and design of the candidate multidimensional spaces in property graphs. Besides property graphs, a new database model tailored for multidimensional modeling and enabling the exploration of additional candidate multidimensional spaces is introduced. We present novel techniques for OLAP aggregation of the graph, and discuss the case of dimension hierarchies in graphs. Furthermore, the architecture and the implementation of our graph warehousing framework are presented and show the effectiveness of our approach.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshData mining
dc.subject.lcshData warehousing
dc.subject.lcshGraph theory
dc.subject.otherDatabase management
dc.subject.otherInformation systems applications
dc.subject.otherData mining and knowledge discovery
dc.titleA framework for building OLAP cubes on graphs
dc.typeConference report
dc.subject.lemacMineria de dades
dc.subject.lemacGestor de dades
dc.subject.lemacGrafs, Teoria de
dc.contributor.groupUniversitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.identifier.doi10.1007/978-3-319-23135-8_7
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-23135-8_7
dc.rights.accessOpen Access
local.identifier.drac17405939
dc.description.versionPostprint (author's final draft)
local.citation.authorGhrab, A.; Romero, O.; Skhiri, S.; Vaisman, A.; Zimányi, E.
local.citation.contributorEast-European Conference on Advances in Databases and Information Systems
local.citation.pubplaceFuturoscope, Poitiers
local.citation.publicationNameAdvances in Databases and Information Systems: 19th East European Conference, ADBIS 2015, Poitiers, France, September 8-11, 2015: proceedings
local.citation.startingPage92
local.citation.endingPage105


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder