Data science has become the new frontier for self-driving cars and AI. Such intelligent applications derive from Information Reuse and Integration (.. Read more IRI). IRI seeks to maximize the utility of information by creating simple, rich, and cost-effective knowledge representations and ontologies. IRI consequently explores strategies for integrating this knowledge into systems and applications. It plays a pivotal role in the capture, representation, maintenance, integration, validation, and extrapolation of information and the knowledge derived from it; and, it applies both information and knowledge for enhancing decision-making in various application domains. This conference explores three major tracks: information reuse, information integration, and reusable systems. Information reuse explores the theory and practice of optimizing representations; information integration focuses on innovative strategies and algorithms for unifying diverse information in novel domains; and reusable systems focus on developing and deploying models and corresponding processes that enable Information Reuse and Integration to play a pivotal role in enhancing decision-making processes in various application domains.
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