Computer Architecture for a Surrogate File to a Very Large Data/Knowledge Base

摘要: This article presents techniques for managing a very large data/knowledge base to support multiple inference-mechanisms logic programming. Because evaluation of goals can require accessing data from the extensional database, or EDB, in general ways, one must often resort indexing on all fields database facts. formidable management problem that index may be larger than EDB itself. becomes even more serious this case bases (hundreds gigabytes), since considerably hardware will required process and store data. In order reduce amount without losing generality, authors form surrogate file, which is hashing transformation Superimposed code words (SCW), concatenated (CCW), transformed inverted lists (TIL) are possible structures file. these transformations quite regular compact, consider computer architecture processing