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A Semantically enabled architecture for crowdsourced linked data management

Simperl, E., Acosta, M. and Norton, B. (2012) A Semantically enabled architecture for crowdsourced linked data management At First International Workshop on Crowdsourcing Web Search (CrowdSearch 2012), France. 17 Apr 2012. , pp. 9-14.

Record type: Conference or Workshop Item (Paper)


Increasing amounts of structured data are exposed on the Web using graph-based representation models and protocols such as RDF and SPARQL. Nevertheless, while the overall volume of such open, or easily accessible, data sources reaches critical mass, the ability of potential consumers to use them in novel applications and services is predicated on the availability of purposeful means to query and manage the data, while taking into account and mastering its essential features in terms of decentralization, heterogeneity of schema, varying quality, and scale. Many aspects of these challenges are necessarily tackled through a combination of algorithmic techniques and manual effort. In the literature on traditional data management the theoretical and technical groundwork to realize and manage such combinations is being established. In this paper we build upon these ideas and propose a semantically enabled architecture for crowdsourced data management systems which uses formal representations of tasks and data to automatically design and optimize the operation and outcomes of human computation projects. The architecture is applied to the context of Linked Data management to address specific challenges of LinkedData query processing such as identity resolution and ontological classification. Starting from a motivational scenario we explain how query-processing tasks can be decomposed and translated into MTurk projects using our semantic approach, and roadmap the extensions to graph-based data management technology that are required to achieve this vision.

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Published date: 17 April 2012
Venue - Dates: First International Workshop on Crowdsourcing Web Search (CrowdSearch 2012), France, 2012-04-17 - 2012-04-17
Organisations: Web & Internet Science


Local EPrints ID: 351664
PURE UUID: 77caf87c-0ff7-46e7-a755-2699befd3c30
ORCID for E. Simperl: ORCID iD

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Date deposited: 29 Apr 2013 15:41
Last modified: 11 Jul 2017 09:49

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Author: E. Simperl ORCID iD
Author: M. Acosta
Author: B. Norton

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