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.
URL: https://www.youtube.com/watch?v=dfBs5WPvChE
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
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P50M
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Creating and transforming Linked Data
- Cleaning and reconciling RDF data
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Cleans a dataset by finding and correcting errors, removing duplicates and unwanted data.
- Cleaning and reconciling RDF data
- Creating and transforming Linked Data
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Creating and transforming Linked Data
- Mapping and enriching RDF data
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Uses available resources for named entity recognition, extraction, and reconciliation.
- Mapping and enriching RDF data
- Creating and transforming Linked Data
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