caa a22 4500 386364524 CHVBK 20180307111928.0 cr unu---uuuuu 161130e198903 xx s 000 0 eng 10.1017/S0269888900004720 doi S0269888900004720 pii (NATIONALLICENCE)cambridge-10.1017/S0269888900004720 Computer architectures for logic-oriented data/knowledge bases [Elektronische Daten] Knowledge base management systems (KBMS) are designed to efficiently retrieve and manipulate large shared knowledge bases. A significant subclass of KBMS consisting of a combination of logic programming and database is often called a logic oriented knowledge base system (LOKBS). These systems must possess considerable processing and I/O capabilities so many approaches have been taken to the improvement of their performance. In this paper we review the current performance enhancing hardware approaches for LOKBS. We include parallelism, both in processing and I/O, algorithms, caching, and physical data organizations. Copyright © Cambridge University Press 1989 Shin Donghoon School of Computer and Information Science, Syracuse University, Syracuse, NY 13244, USA Berra P. Bruce Dept of Computer and Electrical Engineering, Syracuse University, Syracuse, NY 13244, USA The Knowledge Engineering Review Cambridge University Press 4/1(1989-03), 1-29 0269-8889 4:1<1 1989 4 KER https://doi.org/10.1017/S0269888900004720 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0269888900004720 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shin Donghoon School of Computer and Information Science, Syracuse University, Syracuse, NY 13244, USA NATIONALLICENCE 700 1- Berra P. Bruce Dept of Computer and Electrical Engineering, Syracuse University, Syracuse, NY 13244, USA NATIONALLICENCE 773 0- The Knowledge Engineering Review Cambridge University Press 4/1(1989-03), 1-29 0269-8889 4:1<1 1989 4 KER CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge