Clara Bacciu


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Accommodations in Tuscany as Linked Data
Clara Bacciu | Angelica Lo Duca | Andrea Marchetti | Maurizio Tesconi
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The OpeNER Linked Dataset (OLD) contains 19.140 entries about accommodations in Tuscany (Italy). For each accommodation, it describes the type, e.g. hotel, bed and breakfast, hostel, camping etc., and other useful information, such as a short description, the Web address, its location and the features it provides. OLD is the linked data version of the open dataset provided by Fondazione Sistema Toscana, the representative system for tourism in Tuscany. In addition, to the original dataset, OLD provides also the link of each accommodation to the most common social media (Facebook, Foursquare, Google Places and Booking). OLD exploits three common ontologies of the accommodation domain: Acco, Hontology and GoodRelations. The idea is to provide a flexible dataset, which speaks more than one ontology. OLD is available as a SPARQL node and is released under the Creative Commons release. Finally, OLD is developed within the OpeNER European project, which aims at building a set of ready to use tools to recognize and disambiguate entity mentions and perform sentiment analysis and opinion detection on texts. Within the project, OLD provides a named entity repository for entity disambiguation.


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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.