Title :

HEADWORK: a Data-centric Crowdsourcing Platform for Complex Tasks and Participants
(Submitted to EDBT 2024)

Author(s) :

Gross-Amblard, David [Auteur]
Declarative & Reliable management of Uncertain, user-generated Interlinked Data [DRUID]
Tommasi, Marion [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rakotoniaina, Iandry [Auteur]
Muséum national d'Histoire naturelle [MNHN]
Centre d'Ecologie et des Sciences de la COnservation [CESCO]
Thierry, Constance [Auteur]
Declarative & Reliable management of Uncertain, user-generated Interlinked Data [DRUID]
GESTION DES DONNÉES ET DE LA CONNAISSANCE [IRISA-D7]
Singh, Rituraj [Auteur]
Declarative & Reliable management of Uncertain, user-generated Interlinked Data [DRUID]
Jacoboni, Léo [Auteur]
Wirk [Paris]

English keyword(s) :

crowdsourcing tuple artifacts business artifacts macro-tasks
crowdsourcing
tuple artifacts
business artifacts
macro-tasks

HAL domain(s) :

Informatique [cs]/Base de données [cs.DB]

English abstract : [en]

(Sumbitted to EDBT 2024)In this demo we introduce Headwork, an open-source academic platform for the crowdsourcing of complex tasks. Besides classical crowdsourcing features, Headwork eases the development of crowdsourcing ...
Show more >(Sumbitted to EDBT 2024)In this demo we introduce Headwork, an open-source academic platform for the crowdsourcing of complex tasks. Besides classical crowdsourcing features, Headwork eases the development of crowdsourcing campaigns through a full relational abstraction of relevant concepts (participants, skills, tasks, current answers, decision procedures, GUI, etc.). It allows in particular the orchestration of complex dynamic tasks using so-called tuple artifacts (i.e. finite-state automata which transition guards and actions are SQL-defined, on an evolving database). The demo will illustrates these key features, both from the participant and developer point of view.Show less >

Language :

Anglais

ANR Project :

Processus massivement participatifs d'acquisition de données et de connaissances

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL