Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27992
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dc.contributor.authorDividino, Renataen_UK
dc.contributor.authorGottron, Thomasen_UK
dc.contributor.authorScherp, Ansgaren_UK
dc.contributor.editorSimperl, Elenaen_UK
dc.contributor.editorArenas, Marceloen_UK
dc.contributor.editorCorcho, Oscaren_UK
dc.contributor.editorStrohmaier, Markusen_UK
dc.contributor.editord'Aquin, Mathieuen_UK
dc.contributor.editorSrinivas, Kavithaen_UK
dc.contributor.editorGroth, Paulen_UK
dc.contributor.editorDumontier, Michelen_UK
dc.contributor.editorHeflin, Jeffen_UK
dc.contributor.editorThirunarayan, Krishnaprasaden_UK
dc.contributor.editorStaab, Steffenen_UK
dc.date.accessioned2018-10-18T00:03:48Z-
dc.date.available2018-10-18T00:03:48Z-
dc.date.issued2015-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27992-
dc.description.abstractQuite often, Linked Open Data (LOD) applications pre-fetch data from the Web and store local copies of it in a cache for faster access at runtime. Yet, recent investigations have shown that data published and interlinked on the LOD cloud is subject to frequent changes. As the data in the cloud changes, local copies of the data need to be updated. However, due to limitations of the available computational resources (e.g., network bandwidth for fetching data, computation time) LOD applications may not be able to permanently visit all of the LOD sources at brief intervals in order to check for changes. These limitations imply the need to prioritize which data sources should be considered first for retrieving their data and synchronizing the local copy with the original data. In order to make best use of the resources available, it is vital to choose a good scheduling strategy to know when to fetch data of which data source. In this paper, we investigate different strategies proposed in the literature and evaluate them on a large-scale LOD dataset that is obtained from the LOD cloud by weekly crawls over the course of three years. We investigate two different setups: (i) in the single step setup, we evaluate the quality of update strategies for a single and isolated update of a local data cache, while (ii) the iterative progression setup involves measuring the quality of the local data cache when considering iterative updates over a longer period of time. Our evaluation indicates the effectiveness of each strategy for updating local copies of LOD sources, i.e, we demonstrate for given limitations of bandwidth, the strategies’ performance in terms of data accuracy and freshness. The evaluation shows that the measures capturing change behavior of LOD sources over time are most suitable for conducting updates.en_UK
dc.language.isoenen_UK
dc.publisherSpringer Verlagen_UK
dc.relationDividino R, Gottron T & Scherp A (2015) Strategies for efficiently keeping local linked open data caches up-to-date. In: Simperl E, Arenas M, Corcho O, Strohmaier M, d'Aquin M, Srinivas K, Groth P, Dumontier M, Heflin J, Thirunarayan K & Staab S (eds.) The Semantic Web - ISWC 2015. ISWC 2015. Lecture Notes in Computer Science, 9367. 14th International Semantic Web Conference, ISWC 2015, Bethlehem, PA, USA, 11.10.2015-15.10.2015. Cham, Switzerland: Springer Verlag, pp. 356-373. https://doi.org/10.1007/978-3-319-25010-6_24en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 9367en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectSchedule strategyen_UK
dc.subjectData cacheen_UK
dc.subjectDynamics Strategyen_UK
dc.subjectLocal copyen_UK
dc.subjectLink open dataen_UK
dc.titleStrategies for efficiently keeping local linked open data caches up-to-dateen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[Dividino et al 2015.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/978-3-319-25010-6_24en_UK
dc.citation.jtitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_UK
dc.citation.issn1611-3349en_UK
dc.citation.spage356en_UK
dc.citation.epage373en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEuropean Commissionen_UK
dc.author.emailansgar.scherp@stir.ac.uken_UK
dc.citation.btitleThe Semantic Web - ISWC 2015. ISWC 2015en_UK
dc.citation.conferencedates2015-10-11 - 2015-10-15en_UK
dc.citation.conferencelocationBethlehem, PA, USAen_UK
dc.citation.conferencename14th International Semantic Web Conference, ISWC 2015en_UK
dc.citation.date24/10/2015en_UK
dc.citation.isbn9783319250090en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationUniversity of Koblenz-Landauen_UK
dc.contributor.affiliationUniversity of Koblenz-Landauen_UK
dc.contributor.affiliationUniversity of Kielen_UK
dc.identifier.scopusid2-s2.0-84952673881en_UK
dc.identifier.wtid1007450en_UK
dc.contributor.orcid0000-0002-2653-9245en_UK
dcterms.dateAccepted2015-10-24en_UK
dc.date.filedepositdate2018-10-04en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorDividino, Renata|en_UK
local.rioxx.authorGottron, Thomas|en_UK
local.rioxx.authorScherp, Ansgar|0000-0002-2653-9245en_UK
local.rioxx.projectProject ID unknown|European Commission (Horizon 2020)|en_UK
local.rioxx.contributorSimperl, Elena|en_UK
local.rioxx.contributorArenas, Marcelo|en_UK
local.rioxx.contributorCorcho, Oscar|en_UK
local.rioxx.contributorStrohmaier, Markus|en_UK
local.rioxx.contributord'Aquin, Mathieu|en_UK
local.rioxx.contributorSrinivas, Kavitha|en_UK
local.rioxx.contributorGroth, Paul|en_UK
local.rioxx.contributorDumontier, Michel|en_UK
local.rioxx.contributorHeflin, Jeff|en_UK
local.rioxx.contributorThirunarayan, Krishnaprasad|en_UK
local.rioxx.contributorStaab, Steffen|en_UK
local.rioxx.freetoreaddate2265-09-25en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameDividino et al 2015.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source9783319250090en_UK
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