Structured Representation

A Structured Representation is a formal representation that helps create organized information (that supports analysis tasks and processing tasks).

• AKA: Structured Format, Formal Structure, Organized Representation.
• Context:
  • It can typically organize Information Elements through formal structure.
  • It can typically support Parsing Tasks through systematic analysis.
  • It can typically enable Information Extraction through structured patterns.
  • It can typically facilitate Knowledge Organization through formal framework.
  • It can typically guide Linguistic Analysis Tasks through language structure.
  • It can often enhance Data Processing through structured formats.
  • It can often support Vision Parsing Tasks through scene structure.
  • It can often enable Contract Sentence Semantic Parsing through legal text structure.
  • It can often store Data Base Instances through data organization.
  • ...
  • It can range from being a Simple Structure to being a Complex Structure, depending on its representation complexity.
  • It can range from being a Domain Specific Structure to being a General Purpose Structure, depending on its application scope.
  • It can range from being a Flat Structure to being a Hierarchical Structure, depending on its organization depth.
  • ...
  • It can have Validation Methods through structural consistency.
  • It can have Processing Patterns through structured analysis.
  • It can have Integration Interfaces through format conversion.
  • ...
• Example(s):
  • Knowledge Structures, such as:
    • Legal Knowledge Graphs for legal information.
    • Domain Models for domain knowledge.
    • Structured Data for information organization.
  • Language Structures, such as:
    • Syntactic Trees for sentence structure.
    • Semantic Graphs for meaning representation.
    • Discourse Structures for text organization.
  • Task-Specific Structures, such as:
    • Vision Parse Trees for scene understanding.
    • Contract Structures for legal analysis.
    • Agent Framework Structures for social simulation.
  • ...
• Counter-Example(s):
  • Unstructured Texts, which lack formal organization.
  • Raw Data Collections, which lack structured patterns.
  • Random Informations, which lack systematic arrangement.
  • Free-form Contents, which lack formal structure.
• See: Structured Data, Natural Language Processing Task, Information Extraction Task, Parsing Task, Domain Model, Structured Data, Natural Language Processing Task, Information Extraction Task.

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