Entity Linking (EL) enables to automatically link unstructured data with entities in a Knowledge Base. Linking unstructured data (like news, blog posts, tweets) has several important applications: for example 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 strategies 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, Claudio;ORLANDO, Salvatore;
2014-01-01
Abstract
Entity Linking (EL) enables to automatically link unstructured data with entities in a Knowledge Base. Linking unstructured data (like news, blog posts, tweets) has several important applications: for example 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 strategies 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.I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.