Neo4j Ninja at University of Naples Federico II has explored how to combine traditional approaches to artificial intelligence with modern technologies, leveraging Neo4j and the Unreal Engine to create a framework for natural tools and applications with social interactive agents (FANTASIA). This article is part 1 of a two-part series, focusing on how Neo4j supports cross-disciplinary research between technology and humanities researchers. The author discusses the challenges faced by traditional approaches to AI, such as requiring large amounts of data and being difficult to interpret, but also highlights the benefits of combining these approaches with modern technologies. The article describes the development of a new methodology called "Linguistically Oriented Resources and Insights as Expressive Graphs" (LORIEN), which represents linguistic knowledge as graphs connecting multiple resources. This allows for analysis of dialogue dynamics and extraction of general principles that can be applied to various domains, including movie recommendation. The author also discusses the importance of contextual information in understanding dialogue management strategies and introduces a graph analysis tool called HITS, implemented in Neo4j Graph Data Science library, to analyze network characteristics of genre nodes. The article concludes by describing the technological framework developed on the basis of LORIEN structures, including FANTASIA, an Unreal Engine plugin, and Artificial Neural and Graphical Models for Argumentation Research (ANGMAR).