{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T03:39:06Z","timestamp":1649129946094},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1992,12]]},"abstract":"<jats:p> This paper presents a brief overview of knowledge-based system building tools. Then a hybrid knowledge engineering development environment called KEDE is described as a powerful toolkit for large AI problems. It provides five kinds of knowledge representations: extended frames, semantic nets, procedural knowledge, object-oriented technique, and predicate logic. Correspondingly, it supports: procedure-oriented, data-oriented, object-oriented, and logic-oriented programming. KEDE gains a very powerful inheritance mechanism using frames. It further provides an automatic retrieval technique for processing implicit knowledge, a demon mechanism for firing functions, a message-sending mechanism for activating methods, and two inference engines for backward, forward, and even mixed reasoning. All these facilities are tightly integrated and formed an entirety. KEDE has been implemented in Common Lisp on Sun workstations. <\/jats:p>","DOI":"10.1142\/s0218213092000028","type":"journal-article","created":{"date-parts":[[2004,11,25]],"date-time":"2004-11-25T00:50:24Z","timestamp":1101343824000},"page":"463-502","source":"Crossref","is-referenced-by-count":3,"title":["A HYBRID KNOWLEDGE ENGINEERING DEVELOPMENT ENVIRONMENT (KEDE)"],"prefix":"10.1142","volume":"01","author":[{"given":"ZIJIAN","family":"ZHENG","sequence":"first","affiliation":[{"name":"Department of Computer Science, Beijing University of Aeronautics and Astronautics, Beijing 100083, China"}]},{"given":"WEI","family":"LI","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Beijing University of Aeronautics and Astronautics, Beijing 100083, China"}]}],"member":"219","published-online":{"date-parts":[[2012,1,25]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213092000028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T14:40:55Z","timestamp":1565188855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213092000028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,12]]},"references-count":0,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2012,1,25]]},"published-print":{"date-parts":[[1992,12]]}},"alternative-id":["10.1142\/S0218213092000028"],"URL":"https:\/\/doi.org\/10.1142\/s0218213092000028","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,12]]}}}