Provenance Policies for Subjective Filtering of the Aggregated Linked Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10195431" target="_blank" >RIV/00216208:11320/13:10195431 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Provenance Policies for Subjective Filtering of the Aggregated Linked Data

Popis výsledku v původním jazyce

As part of LOD2.eu project and OpenData.cz initiative, we are developing an ODCleanStore framework (1) enabling management of governmental linked data and (2) providing web applications with a possibility to consume cleaned and integrated governmental linked data; the provided data is accompanied with data provenance and a quality score based on a set of policies designed by the governmental domain experts. Nevertheless, these (objective) policies fail to express subjective quality of the data as perceived by various data consumers and different situations at their hand. In this paper, we describe how consumers can define their own situation-specific policies based on the idea of filtering certain data sources due to certain aspects in the data provenance records associated with these sources. In particular, we describe how these policies can be (1) constructed by data consumers and (2) applied as part of the data consumption process in ODCleanStore. We are persuaded that provenance po

Název v anglickém jazyce

Provenance Policies for Subjective Filtering of the Aggregated Linked Data

Popis výsledku anglicky

As part of LOD2.eu project and OpenData.cz initiative, we are developing an ODCleanStore framework (1) enabling management of governmental linked data and (2) providing web applications with a possibility to consume cleaned and integrated governmental linked data; the provided data is accompanied with data provenance and a quality score based on a set of policies designed by the governmental domain experts. Nevertheless, these (objective) policies fail to express subjective quality of the data as perceived by various data consumers and different situations at their hand. In this paper, we describe how consumers can define their own situation-specific policies based on the idea of filtering certain data sources due to certain aspects in the data provenance records associated with these sources. In particular, we describe how these policies can be (1) constructed by data consumers and (2) applied as part of the data consumption process in ODCleanStore. We are persuaded that provenance po

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 5th International Conference on Advances in Databases, Knowledge, and Data Applications

ISBN

978-1-61208-247-9

ISSN

2308-4332

e-ISSN

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Počet stran výsledku

5

Strana od-do

95-99

Název nakladatele

IARIA

Místo vydání

Spain

Místo konání akce

Sevilla, Spain

Datum konání akce

27. 1. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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