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.
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- 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.
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- It can have Validation Methods through structural consistency.
- It can have Processing Patterns through structured analysis.
- It can have Integration Interfaces through format conversion.
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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.