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