@prefix dcterms: . @prefix orcid: . @prefix this: . @prefix sub: . @prefix xsd: . @prefix prov: . @prefix pav: . @prefix np: . @prefix doco: . @prefix c4o: . sub:Head { this: np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo; a np:Nanopublication . } sub:assertion { sub:paragraph 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."; a doco:Paragraph . } sub:provenance { sub:assertion prov:hadPrimarySource ; prov:wasAttributedTo orcid:0000-0003-0530-4305 . } sub:pubinfo { this: dcterms:created "2019-09-20T18:05:11+01:00"^^xsd:dateTime; pav:createdBy orcid:0000-0002-7114-6459 . }