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It is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. With a four step approach, DBpedia Spotlight performs named entity extraction, including entity detection and name resolution. It can also be used for named entity recognition, amongst other information extraction tasks. Empower the user experience reusing, interlinking and making semantic queries among high-quality open datasets, extracting meaning from unstructured data.
Features
- Identification of surface forms substrings of the original input that may be entity mentions
- Select a set of surface forms from step 1 along with the DBpedia resources that are candidate meanings for those surface forms
- Decide on the most likely candidate resource for each selected surface form
- Adjust the annotations to task-specific requirements according to user-provided configuration
- Enrich your content
- DBpedia Spotlight performs entity extraction
Project Samples
Categories
Text AnnotationLicense
MIT LicenseFollow DBpedia Spotlight
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