Explaining Semantic Web Applications

McGuinness, Deborah L.; Furtado, Vasco; Silva, Paulo Pinheiro da; Li, Ding; Glass, Alyssa; Chang, Cynthia

doi:10.4018/9781605669823.ch119

Cited by 2 publications

(2 citation statements)

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“…Related to explanations for the Semantic Web, Inference Web [20,21] explanation infrastructure addresses the explanation requirements of Semantic Web applications and exposes its explanation metadata in RDF using Proof Markup Language (PML) [26]. Inference Web provides a set of software tools for building, presenting, maintaining, and manipulating PML proofs.…”

Section: State Of the Artmentioning

confidence: 99%

Predicting SPARQL Query Performance and Explaining Linked Data

Hasan

2014

Lecture Notes in Computer Science

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International audienceAs the complexity of the Semantic Web increases, efficient ways to query the Semantic Web data is becoming increasingly impor-tant. Moreover, consumers of the Semantic Web data may need expla-nations for debugging or understanding the reasoning behind producing the data. In this paper, firstly we address the problem of SPARQL query performance prediction. Secondly we discuss how to explain Linked Data in a decentralized fashion. Finally we discuss how to summarize the ex-planations

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Section: State Of the Artmentioning

confidence: 99%

Predicting SPARQL Query Performance and Explaining Linked Data

Hasan

2014

Lecture Notes in Computer Science

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“…Semantic Web applications should provide explanations about how the results are obtained in order to ensure their effectiveness and increase their user acceptance [11]. The interoperating Semantic Web applications, especially applications in collaborative settings, should not only provide explanations about how the answers were obtained, they should also explain and allow users to follow the flows of information between them [12]. Generation of such explanations requires additional metadata about why a conclusion has been drawn.…”

Section: Introductionmentioning

confidence: 99%

Linking justifications in the collaborative semantic web applications

Hasan

Gandon

2012

Proceedings of the 21st International Conference on World Wide Web

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Collaborative Semantic Web applications produce ever changing interlinked Semantic Web data. Applications that utilize these data to obtain their results should provide explanations about how the results are obtained in order to ensure the effectiveness and increase the user acceptance of these applications. Justifications providing meta information about why a conclusion has been reached enable generation of such explanations. We present an encoding approach for justifications in a distributed environment focusing on the collaborative platforms. We discuss the usefulness of linking justifications across the Web. We introduce a vocabulary for encoding justifications in a distributed environment and provide examples of our encoding approach.

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Explaining Semantic Web Applications

Cited by 2 publications

References 0 publications

Predicting SPARQL Query Performance and Explaining Linked Data

Predicting SPARQL Query Performance and Explaining Linked Data

Linking justifications in the collaborative semantic web applications

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