Semi-Structured Database

A Semi-Structured Database is a structured database with semi-structured records.

• Context:
  • It can range from being a Small Semi-Structured Dataset to being a Large Semi-Structured Dataset.
  • It can be an input to an Semi-Structured Data Processing Task (such as IE from semi-structured data)
• Example(s):
  • a Lexical Dictionary (with linguistic descriptions).
  • a Web Snapshot.
  • a Citation Database.
  • …
• Counter-Example(s):
  • a Fully-Structured Database.
  • an Unstructured Database.
• See: Lexical Dictionary.

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References

2013

• (Moniruzzaman & Hossain, 2013) ⇒ A. B. M. Moniruzzaman, and Syed Akhter Hossain. (2013). “Nosql Database: New Era of Databases for Big Data Analytics-classification, Characteristics and Comparison." arXiv preprint arXiv:1307.0191

2004

• (Kenji et al., 2004) ⇒ A. B. E. Kenji, Shinji Kawasoe, Hiroshi Sakamoto, Hiroki Arimura, and Setsuo Arikawa. (2004). “Efficient Substructure Discovery from Large Semi-structured Data." IEICE TRANSACTIONS on Information and Systems 87, no. 12

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