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.

Dexter 2.0 - an open source tool for semantically enriching data

Lucchese C;Orlando S;Perego R;Trani S
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.
2014
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Framework
Entity
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/258561
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