Curated Datasets For Literary Tourism: A Case Study In Knowledge Graph Creation

European mountains have inspired generations of writers whose works can play a significant role in determining the touristic potential of the area. However, fragmentation of research and cultural initiatives about European mountains hinder this potential, even in the digital age. In this paper, we describe the use of the World Literature Knowledge Graph (WL-KG) to integrate the curated data sets of writers and works created by a set of research projects about European mountains as part of the CON.NE.C.T W.O.N.D.E.R.S. project using the SPARQL Anything library for triplification. The goal of the project is two-fold: on the one side, it aims at bridging local repositories of literary data, remodeling them according to a common model when needed, to overcome the fragmentation of the otherwise underrepresented research about the mountain areas across Europe. On the other side, it aims at creating applications that leverage the networked representation of literary, geographical and temporal data for the discovery and exploitation of new paths and connections in the field of literary tourism.