Uses

KBpedia is a robust knowledge structure for knowledge representation, management and use. Possible uses include:

• A coherent and computable overlay to both Wikipedia and Wikidata
• Integrating domain data
• Fine-grained entity identification, extraction and tagging
• Faceted, semantic search and retrieval
• Mapping and integration of external datasets
• Natural language processing and computational linguistics
• Knowledge graph creation, extension and maintenance
• Tailored filtering, slicing-and-dicing, and extraction of domain knowledge structures
• Data harvesting, transformation and ingest
• A fast and clean source for word embedding models
• A coherent framework for graph embedding models
• Data interoperability, re-use of existing content and data assets, and knowledge discovery
• Supervised, semi-supervised and distant supervised machine learning for:
• Typing, classification, extraction, and tagging of entities, attributes and relations
• Unsupervised and deep learning.

See further the specific use cases.