Abstract
<strong>This is an accepted article with a DOI pre-assigned that is not yet published.</strong> Developing content for the Ensemble AI engine requires the authoring of first-order logic predicates; in the case of the VESPACE project, this means writing thousands of rules defining social norms in the 18th century France. While these predicates could be written by hand, doing so for a project of this scale would have been infeasible, so we have worked to develop a distributed, collaborative authoring tool. We designed this tool to aid researchers in translating social data gathered from literature and literary history texts, with an emphasis on the importance of citation. Since our requirements necessitated refinement over time, we employed the Agile software engineering methodology during the development cycle, building the application on a set of modern web technologies including a NoSQL database and isomorphic JavaScript server and web application.
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