The paper illustrates the LIBMOVIT project - - Libraries on the Move: Scholars, Books, Ideas Traveling in Italy in the 18th Century - whose main research focus is the European Eighteenth century socio-cultural framework in which the library as an institution acquired an historical, social, public and dynamic dimension. This context will be analysed through a study of the Eighteenth century sources connected to the learned journey experience of the Grand Tour, in particular those contained in the Angiolo Tursi collection - one of the largest travel literature collections in Italy - held at the Marciana national library in Venice. The paper presents the planned approach of the research: first, a classification and an organization of a corpus of relevant documents for the knowledge of travel literature in connection to the libraries world will be created; in particular, the sources will be identified, further bibliographical information will be added, and new sources will be integrated to the corpus and selected documents will be digitized. After that, the research will proceed through a double analysis – traditional and computational – of the texts collected in the corpus is to be developed. First, all the library and bibliographical aspects described by travellers will be studied according to the traditional approach in humanities research to collect important information about the history of libraries (location, decoration, catalogues, opening hours, access, collections, cited books and documents), the travellers and their companions (professions, nationality, reason to travel), the people met (scholars, librarians, superintendents) and the subjects and ideas discussed during the visits in the libraries. Second, the texts will be computationally analysed through several Natural Language Processing (NLP) techniques, starting from the automatic text recognition until arriving to more complex lexical and terminological analysis and Named Entity Recognition (NER). This work is meant to support the previously described qualitative study and will also allow to produce Linked open data about the domain entities (e.g. libraries, people, books) in view of their publication in the semantic web in order to ease and promote their exploration, visualisation and reuse.
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