POSTDATA focused on poetry analysis, the publication of poetic resources and their exploration, applying Digital Humanities methods. This is a trans-domain project, as it combines traditional philological studies with digital humanities technologies and tools. It is focused on poetry analysis (rhythm, accent, typology) analyzing and comparing databases of poetic repertories, analysing TEI-XML documents and databases that described poetic resources. The project is combining semantic web technologies to represent and publish the information as Linked Open Data in order to make the aforementioned resources interoperable, for a field, poetry, that has never been analyzed as a standardized and interoperable area. POSTDATA is conceived as a digital humanities project that uses the richest poetry collections from 16 languages and literary traditions in combination with the most updated technologies: the construction of an ontology, Semantic Engineering Modelling, Natural Language Processing (NLP) and artificial intelligence, applying automation technologies and data mining to non-standard literary texts (i.e. Medieval Spanish) Poetry Lab combines the application of Artificial Intelligence and NLP technologies with the creation of poetic corpora in different languages producing different tools and innovative applications, such as our geolocation tool for Spanish Medieval texts HisMeTag. On the other hand, the project has made great progress in the automatic detection of enjambment, a difficult prosodic phenomenon to analyse and understand even from the literary point of view.