http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#Head http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE http://www.nanopub.org/nschema#hasAssertion http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#assertion http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE http://www.nanopub.org/nschema#hasProvenance http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#provenance http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE http://www.nanopub.org/nschema#hasPublicationInfo http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#pubinfo http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#assertion http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#paragraph http://purl.org/spar/c4o/hasContent From a process point of view, [41] introduced a methodology for publishing Linked Data. They dis- cussed activities which theoretically could be subject to crowdsourcing, but did not discuss such aspects explicitly. Similarly, [25] tried to map ontology engineering methodologies to Linked Data practice, drawing on insights from interviews with practitioners and quantitative analysis. A more focused account of the use of human and crowd intelligence in Linked Data man- agement is offered in [36]. The authors investigated several technically oriented scenarios in order to identify lower-level tasks and analyze the extent to which they can be feasibly automated. In this context, feasibility referred primarily to the trade-off between the effort associated with the usage of a given tool targeting automation - including aspects such as getting familiar with the tool, but more importantly creating training data sets and examples, configuring the tool and validating (intermediary) results - and the quality of the outcomes. The fundamental question the work attempted to answer was related to ours, though not focused on quality assurance and repair – their aim was come up with patterns for human and machine-driven computation, which could service semantic data management scenarios effectively. This was also at the core of [35], which took the main findings of this analysis a step further and proposed a methodology to build incentivized Semantic Web applications, including guidelines for mechanism design which are compatible to our fix-find-verify workflow. They have also analyzed motivators and incentives for several types of Semantic Web tasks, from ontology population to se- mantic annotation. http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#paragraph http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/doco/Paragraph http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#provenance http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#assertion http://www.w3.org/ns/prov#hadPrimarySource http://dx.doi.org/10.3233/SW-160239 http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0003-0530-4305 http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE#pubinfo http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE http://purl.org/dc/terms/created 2019-09-20T18:05:11+01:00 http://purl.org/np/RAZ0b05uIC42PLl_0jrx-DNM29l3vLRhZ92uDXIBVeiUE http://purl.org/pav/createdBy https://orcid.org/0000-0002-7114-6459