http://www.cnr.it/ontology/cnr/individuo/prodotto/ID282569
Sharing Cultural Heritage: the Clavius on the Web Project (Contributo in atti di convegno)
- Type
- Label
- Sharing Cultural Heritage: the Clavius on the Web Project (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Alternative label
Matteo Abrate, Angelo Mario Del Grosso, Emiliano Giovannetti, Angelica Lo Duca, Damiana Luzzi, Lorenzo Mancini, Andrea Marchetti, Irene Pedretti, Silvia Piccini (2014)
Sharing Cultural Heritage: the Clavius on the Web Project
in LREC 2014 - The 9th edition of the Language Resources and Evaluation Conference, Reykjavik, 26-31 maggio 2014
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Matteo Abrate, Angelo Mario Del Grosso, Emiliano Giovannetti, Angelica Lo Duca, Damiana Luzzi, Lorenzo Mancini, Andrea Marchetti, Irene Pedretti, Silvia Piccini (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Informatica e Telematica - CNR, Istituto di Linguistica Computazionale \"A. Zampolli\" - CNR, Archivio della Pontificia Università Gregoriana (literal)
- Titolo
- Sharing Cultural Heritage: the Clavius on the Web Project (literal)
- Abstract
- 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. (literal)
- Prodotto di
- Autore CNR
- Insieme di parole chiave
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