联合分析作为快速专家启发技术的应用

2021 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2021-11-02 DOI:10.1109/ISI53945.2021.9624683

Brett Jefferson, Natalie C. Heller, Joseph A. Cottam, Nhuy Van, George Chin

{"title":"联合分析作为快速专家启发技术的应用","authors":"Brett Jefferson, Natalie C. Heller, Joseph A. Cottam, Nhuy Van, George Chin","doi":"10.1109/ISI53945.2021.9624683","DOIUrl":null,"url":null,"abstract":"This paper presents an interface and analysis technique for quickly conducting expert elicitation with the goal of determining entity importance. Our interface deploys a two-alternative choice experiment that is capable of representing knowledge graphs in an easy to interpret fashion for users with limited experience with knowledge graphs. Our analysis methodology takes advantage of conjoint analysis techniques and provides entity weights for many SMEs simultaneously. The results largely align with individual participant fits.","PeriodicalId":347770,"journal":{"name":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Utility in Conjoint Analysis as a Fast Expert Elicitation Technique\",\"authors\":\"Brett Jefferson, Natalie C. Heller, Joseph A. Cottam, Nhuy Van, George Chin\",\"doi\":\"10.1109/ISI53945.2021.9624683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an interface and analysis technique for quickly conducting expert elicitation with the goal of determining entity importance. Our interface deploys a two-alternative choice experiment that is capable of representing knowledge graphs in an easy to interpret fashion for users with limited experience with knowledge graphs. Our analysis methodology takes advantage of conjoint analysis techniques and provides entity weights for many SMEs simultaneously. The results largely align with individual participant fits.\",\"PeriodicalId\":347770,\"journal\":{\"name\":\"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI53945.2021.9624683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Intelligence and Security Informatics (ISI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI53945.2021.9624683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文提出了一种界面和分析技术，用于快速进行以确定实体重要性为目标的专家启发。我们的界面部署了一个两种选择实验，能够以一种易于解释的方式为知识图经验有限的用户表示知识图。我们的分析方法利用联合分析技术，同时为许多中小企业提供实体权重。结果在很大程度上与个体参与者的契合度一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Utility in Conjoint Analysis as a Fast Expert Elicitation Technique

This paper presents an interface and analysis technique for quickly conducting expert elicitation with the goal of determining entity importance. Our interface deploys a two-alternative choice experiment that is capable of representing knowledge graphs in an easy to interpret fashion for users with limited experience with knowledge graphs. Our analysis methodology takes advantage of conjoint analysis techniques and provides entity weights for many SMEs simultaneously. The results largely align with individual participant fits.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2021 IEEE International Conference on Intelligence and Security Informatics (ISI)

自引率

0.00%

发文量