{"title":"ACKnowledge project: A framework for knowledge acquisition techniques integration","authors":"F. Ramparany, M.-S. Doize, C. Jullien","doi":"10.1109/TAI.1990.130318","DOIUrl":null,"url":null,"abstract":"The ACKnowledge project aims at improving the efficiency of knowledge acquisition. For this purpose, the theoretical approach of the project consists of analyzing and evaluating the applicability of existing knowledge acquisition techniques in various contexts, in order to develop a comprehensive framework for integrating complementary knowledge acquisition techniques. Practical achievements of the project include the realization of a knowledge engineering workbench (KEW) based on the above framework. The authors introduce the overall approach of the project and present the central issue of integration within the project. The first prototype of KEW, which provides a realization of the theoretical approach, is presented.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1990.130318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The ACKnowledge project aims at improving the efficiency of knowledge acquisition. For this purpose, the theoretical approach of the project consists of analyzing and evaluating the applicability of existing knowledge acquisition techniques in various contexts, in order to develop a comprehensive framework for integrating complementary knowledge acquisition techniques. Practical achievements of the project include the realization of a knowledge engineering workbench (KEW) based on the above framework. The authors introduce the overall approach of the project and present the central issue of integration within the project. The first prototype of KEW, which provides a realization of the theoretical approach, is presented.<>