{"title":"Metatool支持定制、面向领域的知识获取","authors":"Henrik Eriksson","doi":"10.1016/1042-8143(92)90005-L","DOIUrl":null,"url":null,"abstract":"<div><p>Metatool support for knowledge acquisition is an approach to automate the implementation of domain-specific knowledge-acquisition tools. D<span>ots</span> is a metatool that can be used by developers to generate domain-specific knowledge-acquisition tools. Whenever a domain model useful for expressing the relevant expertise can be established, developers can use D<span>ots</span> to specify and generate a knowledge-acquisition environment for development of expert systems. D<span>ots</span> assumes that the knowledge-acquisition tools generated are based on the knowledge-elicitation technique of graphical knowledge editing. A salient aspect of D<span>ots</span> is that no particular domain, task or problem-solving method is presupposed by the metatool. We achieve this generalization by introducing an <em>abstract-architecture</em> view—that is, an architectural model of the target knowledge-acquisition tool—as the framework for specifying target knowledge-acquisition tools. D<span>ots</span> provides facilities for editing this abstract architecture and for instantiating knowledge-acquisition tools from it.</p></div>","PeriodicalId":100857,"journal":{"name":"Knowledge Acquisition","volume":"4 4","pages":"Pages 445-476"},"PeriodicalIF":0.0000,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/1042-8143(92)90005-L","citationCount":"11","resultStr":"{\"title\":\"Metatool support for custom-tailored, domain-oriented knowledge acquisition\",\"authors\":\"Henrik Eriksson\",\"doi\":\"10.1016/1042-8143(92)90005-L\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Metatool support for knowledge acquisition is an approach to automate the implementation of domain-specific knowledge-acquisition tools. D<span>ots</span> is a metatool that can be used by developers to generate domain-specific knowledge-acquisition tools. Whenever a domain model useful for expressing the relevant expertise can be established, developers can use D<span>ots</span> to specify and generate a knowledge-acquisition environment for development of expert systems. D<span>ots</span> assumes that the knowledge-acquisition tools generated are based on the knowledge-elicitation technique of graphical knowledge editing. A salient aspect of D<span>ots</span> is that no particular domain, task or problem-solving method is presupposed by the metatool. We achieve this generalization by introducing an <em>abstract-architecture</em> view—that is, an architectural model of the target knowledge-acquisition tool—as the framework for specifying target knowledge-acquisition tools. D<span>ots</span> provides facilities for editing this abstract architecture and for instantiating knowledge-acquisition tools from it.</p></div>\",\"PeriodicalId\":100857,\"journal\":{\"name\":\"Knowledge Acquisition\",\"volume\":\"4 4\",\"pages\":\"Pages 445-476\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/1042-8143(92)90005-L\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Knowledge Acquisition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/104281439290005L\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Knowledge Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/104281439290005L","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Metatool support for custom-tailored, domain-oriented knowledge acquisition
Metatool support for knowledge acquisition is an approach to automate the implementation of domain-specific knowledge-acquisition tools. Dots is a metatool that can be used by developers to generate domain-specific knowledge-acquisition tools. Whenever a domain model useful for expressing the relevant expertise can be established, developers can use Dots to specify and generate a knowledge-acquisition environment for development of expert systems. Dots assumes that the knowledge-acquisition tools generated are based on the knowledge-elicitation technique of graphical knowledge editing. A salient aspect of Dots is that no particular domain, task or problem-solving method is presupposed by the metatool. We achieve this generalization by introducing an abstract-architecture view—that is, an architectural model of the target knowledge-acquisition tool—as the framework for specifying target knowledge-acquisition tools. Dots provides facilities for editing this abstract architecture and for instantiating knowledge-acquisition tools from it.