Text-based engines have resorted to other metrics for measuring relevance such as popularity, link analysis, and freshness. Enables almost human-like comprehension by recognizing that associated meanings are relevant. Utilizes little to no knowledge extraction or artificial intelligence. Utilizes an enormous knowledge base called the Oingo Ontology. Makes the computer human-literate.
Search results are much more consistent for conceptually related searches.
Oingo products are based on the Oingo Infostructure , a suite of core technology components. Through a combination of automatic and manual methods, Oingo is growing the Oingo Ontology in size and quality every day. The Semantic Network is created by the relationships between the meanings in the Oingo Lingua. The Semantic Network is constantly updated to reflect the currency of everyday language. This is why it is important to have a system that depends on concepts, not words.