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A Framework for Supporting the Workflow for Archaeo-related Sciences: Managing, Synchronizing and Analyzing Data

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dc.contributor.authorKaltenthaler, Daniel
dc.contributor.authorLohrer, Johannes-Y.
dc.contributor.authorKröger, Peer
dc.contributor.authorObermaier, Henriette
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-21T11:24:36Z
dc.date.available2017-06-21T11:24:36Z
dc.date.issued2017
dc.description.abstractIn this paper we analyze the challenges of the workflow in archaeo-related disciplines. We extract the main parts of the workflow and consider them in our solution for an eScience service in this domain. First, we describe the dynamic framework xBook to be used for different archaeo-related databases. Afterwards, we show the Synchronization supporting the collaboration with colleagues and sharing data. Finally, we describe the Analysis Tool, that allows analyses to be executed directly inside the framework. Concluding, we show a sample analysis in OssoBook, a zooarchaeological database.en
dc.identifier.isbn978-3-88579-660-2
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-266
dc.subjectAnalysis
dc.subjectFramework
dc.subjectSynchronization
dc.subjectOssoBook
dc.subjectWorkflow
dc.subjectxBook
dc.titleA Framework for Supporting the Workflow for Archaeo-related Sciences: Managing, Synchronizing and Analyzing Dataen
dc.typeText/Conference Paper
gi.citation.endPage98
gi.citation.publisherPlaceBonn
gi.citation.startPage89
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleWorkshop Big (and small) Data in Science and Humanities (BigDS17)

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P266 - BTW2017 - Datenbanksysteme für Business, Technologie und Web - Workshopband