Autonomic Curation of Crowdsourced Knowledge: The Case of Career Data Management

Patelli, Alina; Lewis, Peter R.; Wang, Hai H.; Nabney, Ian T.; Bennett, David; Lucas, Ralph; Cole, Alex

doi:10.1109/iccac.2016.20

Cited by 1 publication

(2 citation statements)

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“…We introduced Aviator 4 [36], a career management platform available on the Good Careers Guide platform that allows explorers to tag career resources with concepts from [21] an ontology and benefit from each other's expertise. Aviator addresses the previously identified issues by:…”

Section: Explorer Knowledgementioning

confidence: 99%

“…Our initial work on Aviator [36] is extended here with a detailed qualitative analysis of Aviator's architecturecarried out according to the architectural tradeoff analysis method (ATAM). The suitability of Aviator in the career domain notwithstanding, the proposed architecture is fit for deployment in the general context of knowledge curation, as the ATAM outcomes reveal.…”

Section: Introductionmentioning

confidence: 99%

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An architecture for the autonomic curation of crowdsourced knowledge

et al. 2017

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Human knowledge curators are intrinsically better than their digital counterparts at providing relevant answers to queries. That is mainly due to the fact that an experienced biological brain will account for relevant community expertise as well as exploit the underlying connections between knowledge pieces when offering suggestions pertinent to a specific question, whereas most automated database managers will not. We address this problem by proposing an architecture for the autonomic curation of crowdsourced knowledge, that is underpinned by semantic technologies. The architecture is instantiated in the career data domain, thus yielding Aviator, a collaborative platform capable of producing complete, intuitive and relevant answers to career related queries, in a time effective manner. In addition to pro- The Good Careers Guide, London, UK viding numeric and use case based evidence to support these research claims, this extended work also contains a detailed architectural analysis of Aviator to outline its suitability for automatically curating knowledge to a high standard of quality.

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Section: Explorer Knowledgementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%