Matteo Abrate


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Sharing Cultural Heritage: the Clavius on the Web Project
Matteo Abrate | Angelo Mario Del Grosso | Emiliano Giovannetti | Angelica Lo Duca | Damiana Luzzi | Lorenzo Mancini | Andrea Marchetti | Irene Pedretti | Silvia Piccini
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In the last few years the amount of manuscripts digitized and made available on the Web has been constantly increasing. However, there is still a considarable lack of results concerning both the explicitation of their content and the tools developed to make it available. The objective of the Clavius on the Web project is to develop a Web platform exposing a selection of Christophorus Clavius letters along with three different levels of analysis: linguistic, lexical and semantic. The multilayered annotation of the corpus involves a XML-TEI encoding followed by a tokenization step where each token is univocally identified through a CTS urn notation and then associated to a part-of-speech and a lemma. The text is lexically and semantically annotated on the basis of a lexicon and a domain ontology, the former structuring the most relevant terms occurring in the text and the latter representing the domain entities of interest (e.g. people, places, etc.). Moreover, each entity is connected to linked and non linked resources, including DBpedia and VIAF. Finally, the results of the three layers of analysis are gathered and shown through interactive visualization and storytelling techniques. A demo version of the integrated architecture was developed.


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Visualizing word senses in WordNet Atlas
Matteo Abrate | Clara Bacciu
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This demo presents the second prototype of WordNet Atlas, a web application that gives users the ability to navigate and visualize the 146,312 word senses of the nouns contained within the Princeton WordNet. Two complementary, interlinked visualizations are provided: an hypertextual dictionary to represent detailed information about a word sense, such as lemma, definition and depictions, and a zoomable map representing the taxonomy of noun synsets in a circular layout. The application could help users unfamiliar with WordNet to get oriented in the large amount of data it contains.