Youssef Samir

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WordNet

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Description

WordNet is a semantic lexicon project that implements a graph-based system for analyzing relationships between English nouns. The project involves constructing a directed acyclic graph (DAG) from WordNet's semantic database, where vertices represent synsets (groups of synonymous words) and edges represent "is-a" relationships between concepts. This implementation focuses on efficiently processing semantic relationships between nouns and identifying semantic outliers within groups of words.

Features

  • Graph Construction and Data Management
    • Constructs a WordNet directed graph from input files with linear time and space complexity
    • Implements efficient bidirectional mapping between nouns and synset IDs
    • Provides optimized lookups for both noun-to-synset and synset-to-noun relationships
  • Semantic Analysis Capabilities
    • Calculates shortest common ancestors (SCA) between synset pairs
    • Determines semantic distance between noun pairs
    • Processes multiple word meanings through synset relationships
    • Handles complex cases where nouns appear in multiple synsets
  • Query Processing
    • Computes semantic relatedness between noun pairs
    • Detects semantic outcasts in noun groups
    • Performs efficient path analysis in the semantic network
    • Maintains performance optimization for large-scale queries

Outcomes

  • Performance Metrics
    • Graph Construction: Linear time and space complexity relative to input size
    • Noun-Synset Mapping: Sub-linear time complexity (better than O(N))
    • Distance Calculations: O(N + M) complexity, where N is number of synsets and M is number of is-a relationships
  • Functional Deliverables
    • Accurate semantic relationship measurements between noun pairs
    • Precise identification of semantic outcasts in noun groups
    • Efficient shortest common ancestor detection
    • Optimized path finding in the semantic network
  • System Outputs
    • Semantic relatedness metrics for noun pairs
    • Distance measurements between concepts
    • Shortest common ancestor identification
    • Outcast detection results for noun groups

Example

Stack

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