AI Approaches to the Complexity of Legal Systems

Volume 8929 of the series Lecture Notes in Computer Science pp 275-289

A Method for Defining Human-Machine Micro-task Workflows for Gathering Legal Information

  • Nuno LuzAffiliated withGECAD (Knowledge Engineering and Decision Support Group), Polytechnic of Porto
  • , Nuno SilvaAffiliated withGECAD (Knowledge Engineering and Decision Support Group), Polytechnic of Porto
  • , Paulo NovaisAffiliated withCCTC (Computer Science and Technology Center), University of Minho Braga

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With the growing popularity of micro-task crowdsourcing platforms, new workflow-based micro-task crowdsourcing approaches are starting to emerge. Such workflows occur in legal, political and conflict resolution domains as well, presenting new challenges, namely in micro-task specification and human-machine interaction, which result mostly from the flow of unstructured data. Domain ontologies provide the structure and semantics required to describe the data flowing throughout the workflow in a way understandable to both humans and machines. This paper presents a method for the construction of micro-task workflows from legal domain ontologies. The method is currently being employed in the context of the UMCourt project in order to formulate information retrieval and conflict resolution workflows.


Legal Crowdsourcing Micro-Tasks Workflows Relational Law