Dexter 2.0 - an open source tool for semantically enriching data
Ceccarelli D., Lucchese C., Orlando S., Perego R., Trani S.
Framework Entity linking
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.
Source: ISWC 2014 Posters & Demonstrations Track. A track within the 13th International Semantic Web Conference, pp. 417–420, ISWC-P&D 2014, 21 October 2014
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@inproceedings{oai:it.cnr:prodotti:294349,
title = {Dexter 2.0 - an open source tool for semantically enriching data},
author = {Ceccarelli D. and Lucchese C. and Orlando S. and Perego R. and Trani S.},
booktitle = {ISWC 2014 Posters \& Demonstrations Track. A track within the 13th International Semantic Web Conference, pp. 417–420, ISWC-P\&D 2014, 21 October 2014},
year = {2014}
}
0000-0002-2545-0425