Rogas: A declarative framework for network analytics

dc.contributor.authorLiu, Minjianen
dc.contributor.authorWang, Qingen
dc.date.accessioned2026-01-01T09:41:11Z
dc.date.available2026-01-01T09:41:11Z
dc.date.issued2015en
dc.description.abstractNetwork analytics has become increasingly popular in recent years. Various graph systems have been developed for analysing networks, while network data is still largely stored and managed in relational database systems in the first place. As two separate systems are often used to manage and analyse network data, it not only increases the dificulty for users to learn and maintain these different systems simultaneously, but also impedes performing more sophisticated analysis on relational and topological properties of network data. Aiming to tackle these issues, we present Rogas in this paper, which is a declarative framework that allows the user to formulate analysis queries naturally without thinking about the tedious implementation details of graph algorithms and query processing.en
dc.description.statusPeer-revieweden
dc.format.extent4en
dc.identifier.issn2150-8097en
dc.identifier.otherORCID:/0000-0001-9504-4273/work/162121099en
dc.identifier.scopus85020444447en
dc.identifier.urihttps://hdl.handle.net/1885/733799474
dc.language.isoenen
dc.relation.ispartofseries42nd International Conference on Very Large Data Bases, VLDB 2016en
dc.rightsPublisher Copyright: © 2016 VLDB.en
dc.sourceProceedings of the VLDB Endowmenten
dc.titleRogas: A declarative framework for network analyticsen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage1564en
local.bibliographicCitation.startpage1561en
local.contributor.affiliationLiu, Minjian; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationWang, Qing; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationu4334215xPUB1681en
local.identifier.citationvolume9en
local.identifier.doi10.14778/3007263.3007309en
local.identifier.pure5e13f412-28ed-4638-aaa0-425b13719f21en
local.identifier.urlhttps://www.scopus.com/pages/publications/85020444447en
local.type.statusPublisheden

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