Suffix Distribution Analysis

A Suffix Distribution Analysis is a pattern analysis task that identifies statistical distributions of concept suffixes across knowledge bases.

• AKA: Concept Type Distribution Analysis, Terminal Word Frequency Analysis, Suffix Pattern Analysis, Type Word Distribution Study.
• Context:
  • It can typically quantify Suffix Prevalence across thousands of concepts using systematic enumeration.
  • It can typically categorize Canonical Suffixes into major type buckets with synonym normalization.
  • It can typically reveal Distribution Patterns showing dominant suffixes and long-tail specializations.
  • It can typically identify Suffix Synonyms that map to canonical categories.
  • It can typically support Naming Convention Design through empirical evidence.
  • ...
  • It can often discover Emerging Suffix Types in evolving domains.
  • It can often detect Underrepresented Types requiring expanded coverage.
  • It can often validate Suffix Selection Rules against actual usage patterns.
  • It can often guide Taxonomy Extensions for new concept types.
  • ...
  • It can range from being a Simple Suffix Distribution Analysis to being a Comprehensive Suffix Distribution Analysis, depending on its sample size.
  • It can range from being a Single-Domain Suffix Distribution Analysis to being a Cross-Domain Suffix Distribution Analysis, depending on its domain coverage.
  • It can range from being a Static Suffix Distribution Analysis to being a Longitudinal Suffix Distribution Analysis, depending on its temporal scope.
  • It can range from being a Manual Suffix Distribution Analysis to being an Automated Suffix Distribution Analysis, depending on its analysis method.
  • ...
  • It can integrate with Term Role Lexicons for suffix classification.
  • It can connect to Knowledge Base Crawlers for data collection.
  • It can interface with Statistical Analysis Systems for distribution calculation.
  • It can communicate with Naming Convention Validators for rule verification.
  • ...
• Example(s):
  • GM-RKB Suffix Distribution Analysis (2025), revealing:
    • Task (40-45%): dominant suffix for problem definitions and benchmarks
    • System (18-22%): implemented or proposed systems including platforms and tools
    • Algorithm/Method/Technique (15%): computational procedures and approaches
    • Model (4-6%): neural or statistical models
    • Dataset/Corpus/Benchmark (3-5%): data collections
    • Framework/Standard/Guideline (3-4%): structural approaches
    • Process (3-4%): sequences of actions and workflows
    • Protocol (2-3%): communication standards
    • Policy (1-2%): high-level rules
    • Measure/Metric (2-3%): quantitative evaluations
    • Platform/Service/Tool (2-3%): infrastructure offerings
    • Organization/Entity (1-2%): companies or labs
    • Cultural Work (<1%): books, films, songs
    • No-Type/Acronym (2-4%): single words or abbreviations
  • Domain-Specific Distributions:
    • Legal Domain Analysis showing high frequency of "Contract", "Legal", "Law" prefixes
    • AI Domain Analysis showing prevalence of "Learning", "Neural", "Automated" modifiers
  • Temporal Distribution Changes:
    • Rise of "LLM" and "Transformer" terms post-2017
    • Decline of "Expert System" terms since 1990s
  • ...
• Counter-Example(s):
  • Word Frequency Analysis, which ignores positional roles.
  • Semantic Analysis, which focuses on meaning rather than distribution.
  • Alphabetical Listing, which lacks statistical insight.
• See: Term Role Lexicon, Concept Naming Convention, Knowledge Base Analysis, Statistical Distribution, Taxonomy Design, MediaWiki Special:AllPages, Empirical Naming Study, Prefix Distribution Analysis, Statistical Pattern Mining Task.

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