| 摘要 |
A near natural language format is used to codify knowledge (including information, programs, rules, and procedures). The codified knowledge is stored in knowledge snippet files according to a nomenclature in which each file has a name relating to a particular interrogatory and the type of the interrogatory (e.g., having a file extension of: “.what”, “.how”, “.where”, “.which”, “.when”, “.who”, or “.why”). The content of each of the knowledge snippet files comprises an answer to the interrogatory. Language systems and methods, including a run-time environment to process or execute the knowledge, are provided to use the knowledge so represented. The knowledge may also be presented in many different perspectives or views.
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