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Dexter 2.0 - an open source tool for semantically enriching data

Contributo in Atti di convegno
Data di Pubblicazione:
2014
Abstract:
Entity Linking (EL) enables to automatically link unstruc- tured data with entities in a Knowledge Base. Linking unstructured data (like news, blog posts, tweets) has several important applications: for ex- ample it allows to enrich the text with external useful contents or to improve the categorization and the retrieval of documents. In the latest years many effective approaches for performing EL have been proposed but only a few authors published the code to perform the task. In this work we describe Dexter 2.0, a major revision of our open source frame- work to experiment with different EL approaches. We designed Dexter in order to make it easy to deploy and to use. The new version provides several important features: the possibility to adopt different EL strate- gies at run-time and to annotate semi-structured documents, as well as a well-documented REST-API. In this demo we present the current state of the system, the improvements made, its architecture and the APIs provided.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Framework; Entity
Elenco autori:
Orlando, Salvatore; Lucchese, Claudio; Trani, Salvatore; Ceccarelli, Alfredo; Perego, Raffaele
Autori di Ateneo:
PEREGO RAFFAELE
TRANI SALVATORE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/258561
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/258561/45715/prod_294349-doc_84490.pdf
Pubblicato in:
CEUR WORKSHOP PROCEEDINGS
Series
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URL

http://ceur-ws.org/Vol-1272/paper_127.pdf
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