Named graphs, provenance and trust

Carroll, Jeremy J.; Bizer, Christian; Hayes, Pat; Stickler, Patrick

doi:10.1145/1060745.1060835

Cited by 313 publications

(256 citation statements)

References 17 publications

(18 reference statements)

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“…For example, Named Graphs [Carroll et al, 2005] can be used to evaluate SPARQL queries [Prud'hommeaux and Seaborne, 2008]. [Dietzold and Auer, 2006] proposes a framework which first applies all rules to the whole RDF database and afterwards executes the query only on the subsets of allowed RDF triples.…”

Section: Related Approaches For Rdf Access Controlmentioning

confidence: 99%

Personalization for the Semantic Web

2005

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In this deliverable we describe a fully functional, Web Service-based framework -the Personal Reader Framework -for designing, developing and maintaining personalized information systems, with many realized application and demonstrators. Various Personalization Services are available in these demonstrators, which offer personal news recommendations, personal music recommendations, suggest study plans to students, annotate learning resources with relevant contextual information (exercises, quizzes, examples, summaries). Privacy protection is ensured by a centralized user modeling service. Access to user profile information is protected by userspecified policies.Keyword List semantic web, reasoning, personalization, user modeling, trust, access control, policies, personal reader Abstract In this deliverable we describe a fully functional, Web Service-based framework -the Personal Reader Framework -for designing, developing and maintaining personalized information systems, with many realized application and demonstrators. Various Personalization Services are available in these demonstrators, which offer personal news recommendations, personal music recommendations, suggest study plans to students, annotate learning resources with relevant contextual information (exercises, quizzes, examples, summaries). Privacy protection is ensured by a centralized user modeling service. Access to user profile information is protected by userspecified policies.

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Section: Related Approaches For Rdf Access Controlmentioning

confidence: 99%

Personalization for the Semantic Web

2005

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“…It is also possible to serialize a linked dataset as a collection of Named Graphs [6], i.e. RDF graphs named with a URI.…”

Section: Adding Provenance To Rdf Dumpsmentioning

confidence: 99%

Publishing and Consuming Provenance Metadata on the Web of Linked Data

Hartig

Zhao

2010

Lecture Notes in Computer Science

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Abstract. The World Wide Web evolves into a Web of Data, a huge, globally distributed dataspace that contains a rich body of machineprocessable information from a virtually unbound set of providers covering a wide range of topics. However, due to the openness of the Web little is known about who created the data and how. The fact that a large amount of the data on the Web is derived by replication, query processing, modification, or merging raises concerns of information quality. Poor quality data may propagate quickly and contaminate the Web of Data. Provenance information about who created and published the data and how, provides the means for quality assessment. This paper takes a first step towards creating a quality-aware Web of Data: we present approaches to integrate provenance information into the Web of Data and we illustrate how this information can be consumed. In particular, we introduce a vocabulary to describe provenance of Web data as metadata and we discuss possibilities to make such provenance metadata accessible as part of the Web of Data. Furthermore, we describe how this metadata can be queried and consumed to identify outdated information.

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“…Basically, the answer is analogous to the answer to the question where other Semantic Web data such as RDF or OWL documents shall come from: they need to be manually created or automatically generated. Other somewhat applicable analogies are the process of quotation, referencing, the provision of named graphs [20] and provenance annotation (but note that named graphs and all kinds of annotation are significantly weaker concepts compared to logical contexts). For example, authors could provide social contexts with their own statements on the web.…”

Section: Definition 2: Social Contextsmentioning

confidence: 99%