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Publisher: Amsterdam : TextRelease, 2013
Languages: English
Types: Conference object
Subjects: Cultural tourism, 05B - Information science, librarianship
This paper presents the use of NLP techniques (text mining, text analysis) for development of specific tools that allow us to create linguistic resources related to the domain of "cultural heritage". In particular the project "The online dissemination of the historical artistic and scenic, regional heritage" was born in the framework of the collaboration between the Pisa ILC-CNR and the APT Basilicata (i.e. Agenzia di Promozione Territoriale della regione Basilicata) for experimenting and implementing strategies for the promotion and dissemination of regional heritage, particularly in initiatives related to tourism field. The ILC contribution consists in the definition of a model of linguistic analysis of texts, with automatic extraction of semantic information and terminology to be used for the categorization of materials and their guided browsing. We have experimented a particular methodology, dividing the automatic acquisition of texts and consequently of reference corpus, in two phases. The first phase aims at the extraction of documents from lists of links provided by experts worked with us to the project, for the creation of a repository of documents, whose selection criterion is geographical. In this case the documents can be considered as "grey literature" produced by the regional entities. On the basis of documents extracted from the web, by automatic spiders developed within TextPower technology, automatic parsers create the reference corpus for the cultural heritage domain. Relevant information and semantic concepts are then extracted from this corpus. All these semantically relevant elements (such as proper names, names of institutions, names of places, and other relevant terms) have been used as basis for further acquisitions of documents from heterogeneous sources, by using specialized crawlers that work on a bulk of text materials available on-line. Thus, it has been possible to use the extracted knowledge as basis for a new search strategy of text materials and increase the information available. In this Poster we present the intelligent browsing system that operates on text materials, recovered and annotated by means of the TextPower technology. Includes: Conference preprint, Powerpoint presentation, Abstract and Biographical notes XA International
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