The inaugural Augmented Intelligence for Technology Assisted Review Systems (ALTARS) workshop, held at ECIR 20221 [1], initiated a multidisciplinary discussion on the outstanding questions and uncertainties within the research area of Technology Assisted Review (TAR) systems. The second edition of the workshop, held at ECIR 20232 [2], continued to explore the discussion about innovative approaches for assessing the efectiveness of TAR systems [ 3]. In fact, on the one hand, we have at our disposal various evaluation measures available to gauge the eficacy of “traditional” retrieval methods, on the other hand, TAR systems require additional dimensions of evaluation. The desired outcome of this third workshop, held at ECIR 20243 [4], was having a collection of highquality short papers to be presented at the event and a selected number of papers that will be invited in a new special issue and gather momentum in this interdisciplinary area together with researchers, stakeholders in the fields 4, and international projects5. The goals of the workshop were threefold: • To foster cross-discipline collaborations between researchers with diferent perspectives and research backgrounds in the TAR systems; • To combine and analyze existing theoretical and empirical contributions in order to determine shared issues, and novel research questions; • To create a set of shared datasets dedicated towards the evaluation of TAR systems, thus enabling a wider research community to benefit from the outcomes of the workshop.
Knowledge Modeling Approach for AI Applications Based on Legal Reasoning in the Semantic Web”, and Franck Courchamp from University of Paris Saclay, France with the title “Extracting information from scientific articles to compile data on ecological impacts of biological invasions”.