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[Institut fuer Informatik] [Leerraum] [Humboldt-Universitaet zu Berlin]

Web of Trusted Data - Trustworthiness of Data described by RDF

Today, large amounts of RDF data are published on the Web; large datasets are interlinked; new applications emerge that utilize this data in novel and innovative ways. However, the openness of the Web and the ease to combine RDF data from different sources creates new challenges. Unreliable data could dominate the result of queries, taint inferred data, affect local knowledge bases, or may have negative or misleading impact on software agents. Hence, questions of reliability and trustworthiness must be addressed. While several approaches consider trustworthiness of information sources, little has been done considering the actual data itself. More precisely, what is missing for the Web of data is a uniform approach to rate the trustworthiness of the data on the Web and standardized mechanisms to access and to use those ratings.

With our work we address these open issues; we aim for an evolution of the Web of data to a "Web of trusted data." As a basis we develop a trust model for RDF that must be adequate as well as simple and reasonable to gain wide-spread use. The envisioned Web of trusted data builds upon this model; all data must be rated accordingly. Thus, we investigate strategies how to rate and how to determine the trustworthiness of RDF data. Those strategies may consider the origin of statements as well as the opinion of other consumers of the data.

Naturally, we do not consider the plain existence of trustworthiness ratings as an end in itself; users as well as software agents have to be able to utilize the trust ratings and base their decisions upon them. Hence, we investigate usage scenarios and possible applications. A main requirement is the ability to access the trustworthiness ratings. Thus, we study data access methods in the Web of data and develop concepts that extend those methods accordingly. For instance, we consider trust-aware extensions for the RDF query language SPARQL.

A realization of the Web of trusted data requires trust management components that implement our ideas. Based on an in-depth analysis of the requirements for these components we propose possible solutions with respect to efficient representation and processing of the trustworthiness ratings.

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[Punkt]  DFG-Forschergruppe Stratosphere

[Punkt]  DFG-Graduate School SOAMED

[Punkt]  DFG-Graduate School METRIK

[Punkt]  Link Traversal Based Query Execution

[aktiver Punkt]  Web of Trusted Data

[Punkt]  Query Optimization in RDF Databases

[Punkt]  DBnovo - Datenbankgest├╝tzte Online Sequenzierung

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