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.
The essential task is to comprehend a user's search query and to respond intelligently with the most relevant content. A simple text-based search does not focus on the core meaning of the user's query. Search becomes simple and effective with the implementation of the Oingo InfoStructure. For example, an Oingo search on 'Genesis' can be refined to mean the rock band, video game console, or book of the Bible. The majority of query times for Oingo DirectSearch fall under 10 milliseconds.