This webinar describes DBpedia Spotlight, a tool for automatically annotating mentions of DBpedia resources in text. The tool provides a solution for linking unstructured information sources to the Linked Open Data (LOD) Cloud. It recognizes names of concepts or entities and matches these names to unique identifiers. Besides common entity classes such as People, Locations and Organizations, DBpedia Spotlight also spots concepts from any of the 320 classes in the DBpedia Ontology. The tool can be used to enable faceted browsing and semantic search, among other applications.

Keywords: Named-Entity Extraction (NER), Machine learning, Semantic annotation, Linked Data Life Cycle
Author: LOD2
Publisher: Semantic Web Company
Date created: 2013-02-27 07:00:00.000
Time required: P50M

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