Corpus ID: 53681636

A SPARQL engine for crowdsourcing query processing using microtasks - Technical Report

  title={A SPARQL engine for crowdsourcing query processing using microtasks - Technical Report},
  author={M. Acosta and E. Simperl and Fabian Fl{\"o}ck and B. Norton},
  • M. Acosta, E. Simperl, +1 author B. Norton
  • Published 2012
  • Computer Science
  • There are queries in Linked Data processing that cannot always be optimally answered through traditional data base management techniques. [...] Key Method We define extensions of the SPARQL query language and the Linked Data vocabulary VoID in order to capture those aspects of Linked Data query processing that per design are likely to benefit from the use of human-based computation.Expand Abstract
    4 Citations
    Human Computation and Crowdsourcing meet the Semantic Web : A Survey
    Crowdstore: A Crowdsourcing Graph Database
    Knowledge Engineering via Human Computation
    • 7
    Semantics Driven Human-Machine Computation Framework for Linked Islamic Knowledge Engineering
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    CrowdDB: answering queries with crowdsourcing
    • 642
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    Query Processing over Crowdsourced Data
    • 11
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    A Heuristic-Based Approach for Planning Federated SPARQL Queries
    • 41
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    A Semantically Enabled Architecture for Crowdsourced Linked Data Management
    • 10
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    Crowdsourcing tasks in linked data management
    • 22
    ANAPSID: An Adaptive Query Processing Engine for SPARQL Endpoints
    • 190
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    Human-powered Sorts and Joins
    • 289
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    Answering Queries using Humans, Algorithms and Databases
    • 128
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    Deco: A System for Declarative Crowdsourcing
    • 81
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    ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking
    • 363
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