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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