WordNet
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