Publishing and Consuming Provenance Metadata on the Web of Linked Data

Hartig, Olaf; Zhao, Jun

doi:10.1007/978-3-642-17819-1_10

Cited by 92 publications

(68 citation statements)

References 10 publications

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“…The metadata should cover the means of creating the data, as well as the date of creation (much data on the Web is perforce out of date) and information about its creator [148,149,150]. Vocabularies and data models for doing this have been developed as part of the Open Provenance Model [255], while Dezani-Ciancaglini et al [103] introduce a calculus with operational semantics for expressing the provenance of linked data processing.…”

Section: Ways Forward: From Engineering To Controlmentioning

confidence: 99%

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

O’Hara

Contractor²,

Hall

2013

FNT in Web Science

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Section: Ways Forward: From Engineering To Controlmentioning

confidence: 99%

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

O’Hara

Contractor²,

Hall

2013

FNT in Web Science

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“…Similar to our findings, he also concludes that "there is only very little provenance-related, RDF-based metadata available on the Web " and points to lack of vocabularies, tools, and community sensitization/motivation as possible reasons. In follow on work, Hartig and Zhao [7] attempt to overcome the problem of missing provenance about Linked Data by offering a provenance vocabulary and extending several Linked Data publishing tools to automatically provide provenance. Instead of focusing on Linked Data provenance of Linked Data, we broadened the applicability of our Prizms provenance-aware Linked Data production platform by repurposing it to publish and interconnect provenance about non-Linked Data systems.…”

Section: Discussionmentioning

confidence: 99%

Walking into the Future with PROV Pingback: An Application to OPeNDAP Using Prizms

Lebo

West

McGuinness

2015

Lecture Notes in Computer Science

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Abstract. Adding provenance to existing systems can benefit users, but comes at an expense that may be difficult for some to justify. This tradeoff can be overcome by increasing the value of provenance, by decreasing the cost to add it -or by doing both. This paper offers a contribution for each. First, we develop further the W3C PROV pingback technique so that it may reach its potential to interconnect provenance records that would traditionally sit in isolation, thus increasing their value. Second, we reduce the expense to publish the provenance of existing host systems by using minimal coupling to the Prizms Linked Data platform. Using an Earth Sciences scenario and the OPeNDAP data transport architecture as an example host system, we investigate how PROV pingback could work in practice, demonstrate its potential, and identify outstanding issues that must be addressed before it can be widely adopted.

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“…While data extracted by the means of tools such as Hazy 6 and KnowItAll 7 can be easily mapped to primary provenance information, most knowledge sources were extracted from nontextual source and are more difficult to link with provenance information. Hartig and Zhao (2010) describes a framework for provenance tracking. This framework provides the vocabulary required for representing and accessing provenance information on the Web.…”

Section: Provenancementioning

confidence: 99%

DeFacto—Temporal and multilingual Deep Fact Validation

Gerber

Esteves

Lehmann

et al. 2015

Journal of Web Semantics

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One of the main tasks when creating and maintaining knowledge bases is to validate facts and provide sources for them in order to ensure correctness and traceability of the provided knowledge. So far, this task is often addressed by human curators in a three-step process: issuing appropriate keyword queries for the statement to check using standard search engines, retrieving potentially relevant documents and screening those documents for relevant content. The drawbacks of this process are manifold. Most importantly, it is very time-consuming as the experts have to carry out several search processes and must often read several documents. In this article, we present DeFacto (Deep Fact Validation) -an algorithm able to validate facts by finding trustworthy sources for them on the Web. DeFacto aims to provide an effective way of validating facts by supplying the user with relevant excerpts of web pages as well as useful additional information including a score for the confidence DeFacto has in the correctness of the input fact. To achieve this goal, DeFacto collects and combines evidence from web pages written in several languages. In addition, DeFacto provides support for facts with a temporal scope, i.e., it can estimate in which time frame a fact was valid. Given that the automatic evaluation of facts has not been paid much attention to so far, generic benchmarks for evaluating these frameworks were not previously available. We thus also present a generic evaluation framework for fact checking and make it publicly available.

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Publishing and Consuming Provenance Metadata on the Web of Linked Data

Cited by 92 publications

References 10 publications

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

Walking into the Future with PROV Pingback: An Application to OPeNDAP Using Prizms

DeFacto—Temporal and multilingual Deep Fact Validation

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