Research Article
Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System
Algorithm: Fuzzy Generation | Input: Starting concept of concept lattice and a similarity threshold | Output: A set of generated conceptual clusters | Process: | (1) | (2) ← An empty concept lattice | (3) Add to | (4) for each subconcept of in do | (5) ← Conceptual_Cluster_Generation() | (6) if then | (7) | (8) else | (9) Insert to with sup as a subconcept of | (10) endif | (11) endfor | (12) |
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