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Studying Greek and Latin cultural heritage has always been considered essential to the understanding of important aspects\udof the roots of current European societies. However, only a small fraction of the total production of texts from ancient Greece\udand Rome has survived up to the present, leaving many gaps in the historiographic records. Epigraphy, which is the study of\udinscriptions (epigraphs), helps to ll these gaps. In particular, the goal of epigraphy is to clarify the meanings of epigraphs;\udto classify their uses according to their dating and cultural contexts; and to study aspects of the writing, the writers, and\udtheir “consumers.” Although several research projects have recently been promoted for digitally storing and retrieving data and\udmetadata about epigraphs, there has actually been no attempt to apply data mining technologies to discover previously unknown\udcultural aspects. In this context, we propose to exploit the temporal dimension associated with epigraphs (dating) by applying a\uddata mining method for novelty detection. The main goal is to discover relational novelty patterns—that is, patterns expressed\udas logical clauses describing signicant variations (in frequency) over the different epochs, in terms of relevant features such as\udlanguage, writing style, and material. As a case study, we considered the set of Inscriptiones Christianae Vrbis Romae stored in\udEpigraphic Database Bari, an epigraphic repository. Some patterns discovered by the data mining method were easily deciphered\udby experts since they captured relevant cultural changes, whereas others disclosed unexpected variations, which might be used\udto formulate new questions, thus expanding the research opportunities in the eld of epigraph

Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome