Entity Database

An Entity Database is a concept database of entity records.

• AKA: Entity Catalog.
• Context:
  • It can be used by a Dictionary-based Algorithm to an Entity Mention Recognition Task.
  • It can be an input to an Entity Record Resolution Task.
• Example(s):
  • A Customer Database.
  • A Product Database.
  • The Gene Ontology Database.
  • The Rulers.org Database.
  • The NCBI Taxonomy Database.
• See: Ontology, Word Sense Inventory, Entity Record Set.

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References

2009

• (Kulkarni et al., 2009) ⇒ Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti. (2009). "Collective Annotation of Wikipedia Entities in Web Text." In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557073.
  • QUOTE: To take the first step beyond keyword-based search toward entity-based search, suitable token spans ("spots") on documents must be identified as references to real-world entities from an entity catalog.

2004

• (Cohen & Sarawagi, 2004) ⇒ William W. Cohen, Sunita Sarawagi. (2004). "Exploiting Dictionaries in Named Entity Extraction: Combining semi-Markov extraction processes and data integration methods." In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004) doi:10.1145/1014052.1014065
  • QUOTE: We consider the problem of improving named entity recognition (NER) systems by using external dictionaries --- more specifically, the problem of extending state-of-the-art NER systems by incorporating information about the similarity of extracted entities to entities in an external dictionary.

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