BPMN task instance streaming for efficient micro-task crowdsourcing processes

The Business Process Model and Notation (BPMN) is a standard for modeling and executing business processes with human or machine tasks. The semantics of tasks is usually discrete: a task has exactly one start event and one end event; for multi-instance tasks, all instances must complete before an end event is emitted. We propose a new task type and streaming connector for crowdsourcing able to run hundreds or thousands of micro-task instances in parallel. The two constructs provide for task streaming semantics that is new to BPMN, enable the modeling and efficient enactment of complex crowdsourcing scenarios, and are applicable also beyond the special case of crowdsourcing. We implement the necessary design and runtime support on top of CrowdFlower, demonstrate the viability of the approach via a case study, and report on a set of runtime performance experiments.

Titolo: BPMN task instance streaming for efficient micro-task crowdsourcing processes
Autori: Tranquillini, Stefano; Daniel, Florian; Kucherbaev, Pavel; Casati, Fabio
Autori Unitn: 
Tranquillini, Stefano
Daniel, Florian
Casati, Fabio
mostra contributor esterni 
Titolo del volume contenente il saggio: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Luogo di edizione: Berlin
Casa editrice: Springer Verlag
Anno di pubblicazione: 2015
Codice identificativo Scopus: 2-s2.0-84944685899
Codice identificativo WOS: WOS:000364712100023
ISBN: 9783319230627
9783319230627
Handle: http://hdl.handle.net/11572/118066
Appare nelle tipologie:04.1 Saggio in atti di convegno (Paper in proceedings)

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