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dc.contributor.authorHeese, Ralf
dc.contributor.authorHerschel, Sven
dc.contributor.authorNaumann, Felix
dc.contributor.authorRoth, Armin
dc.contributor.editorVossen, Gottfried
dc.contributor.editorLeymann, Frank
dc.contributor.editorLockemann, Peter
dc.contributor.editorStucky, Wolffried
dc.date.accessioned2019-10-11T08:35:19Z
dc.date.available2019-10-11T08:35:19Z
dc.date.issued2005
dc.identifier.isbn3-88579-394-6
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/28300
dc.description.abstractPeer data management systems (PDMS) are the natural extension of integrated information systems. Conventionally, a single integrating system manages an integrated schema, distributes queries to appropriate sources, and integrates incoming data to a common result. In contrast, a PDMS consists of a set of peers, each of which can play the role of an integrating component. A peer knows about its neighboring peers by mappings, which help to translate queries and transform data. Queries submitted to one peer are answered by data residing at that peer and by data that is reached along paths of mappings through the network of peers. The only restriction for PDMS to cover unbounded data is the need to formulate at least one mapping from some known peer to a new data source. We propose a Semantic Web based method that overcomes this restriction, albeit at a price. As sources are dynamically and automatically included in a PDMS, three factors diminish quality: The new source itself might store data of poor quality, the mapping to the PDMS might be incorrect, and the mapping to the PDMS might be incomplete. To compensate, we propose a quality model to measure this effect, a cost model to restrict query planning to the best paths through the PDMS, and techniques to answer queries in such Webscale PDMS efficiently.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web, 11. Fachtagung des GIFachbereichs “Datenbanken und Informationssysteme” (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-65
dc.titleSelf-extending peer data managementen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages145-164
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationKarlsruhe
mci.conference.date2.-4. März 2005


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