支持uri的用户输入接口,用于不显眼地引用链接数据

IF 0.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
André Langer, Christoph Göpfert, M. Gaedke
{"title":"支持uri的用户输入接口,用于不显眼地引用链接数据","authors":"André Langer, Christoph Göpfert, M. Gaedke","doi":"10.33965/IJCSIS_2018130205","DOIUrl":null,"url":null,"abstract":"Using appropriate entity URIs is a crucial factor for the success of semantic-enabled applications for data management and data retrieval. Especially data applications that collect data to build knowledge graphs rely on correct concept identifiers in favor of ambiguous literals. This collection involves human interaction in the web frontend without annoying the user. But appropriate user interfaces for this task are still a challenge. In this article, we focus on the design of form elements that unobtrusively allow input data both for human and machine interaction from a semantic point of view. Motivated by web-based scholarly document-submission systems, we first present a brief current-state analysis on the support of semantic input operations, investigate how these users input interfaces can be improved for concept linking purposes with an auto-suggestion behavior and finally evaluate with a proof-of concept implementation and user survey the advantages and acceptance of our approach.","PeriodicalId":41878,"journal":{"name":"IADIS-International Journal on Computer Science and Information Systems","volume":"136 1","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2018-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Uri-aware user input interfaces for the unobtrusive reference to linked data\",\"authors\":\"André Langer, Christoph Göpfert, M. Gaedke\",\"doi\":\"10.33965/IJCSIS_2018130205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using appropriate entity URIs is a crucial factor for the success of semantic-enabled applications for data management and data retrieval. Especially data applications that collect data to build knowledge graphs rely on correct concept identifiers in favor of ambiguous literals. This collection involves human interaction in the web frontend without annoying the user. But appropriate user interfaces for this task are still a challenge. In this article, we focus on the design of form elements that unobtrusively allow input data both for human and machine interaction from a semantic point of view. Motivated by web-based scholarly document-submission systems, we first present a brief current-state analysis on the support of semantic input operations, investigate how these users input interfaces can be improved for concept linking purposes with an auto-suggestion behavior and finally evaluate with a proof-of concept implementation and user survey the advantages and acceptance of our approach.\",\"PeriodicalId\":41878,\"journal\":{\"name\":\"IADIS-International Journal on Computer Science and Information Systems\",\"volume\":\"136 1\",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2018-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IADIS-International Journal on Computer Science and Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/IJCSIS_2018130205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IADIS-International Journal on Computer Science and Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/IJCSIS_2018130205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 4

摘要

使用适当的实体uri是支持语义的数据管理和数据检索应用程序成功的关键因素。特别是收集数据以构建知识图的数据应用程序依赖于正确的概念标识符,而不是模棱两可的字面量。这个集合包含了web前端的人机交互,而不会惹恼用户。但是为这项任务提供合适的用户界面仍然是一个挑战。在本文中,我们将重点关注表单元素的设计,从语义的角度来看,表单元素可以不显眼地为人机交互提供输入数据。在基于网络的学术文件提交系统的激励下,我们首先对语义输入操作的支持进行了简要的现状分析,研究了如何通过自动建议行为来改进这些用户输入界面,以实现概念链接的目的,最后通过概念验证实现和用户调查来评估我们方法的优势和接受程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uri-aware user input interfaces for the unobtrusive reference to linked data
Using appropriate entity URIs is a crucial factor for the success of semantic-enabled applications for data management and data retrieval. Especially data applications that collect data to build knowledge graphs rely on correct concept identifiers in favor of ambiguous literals. This collection involves human interaction in the web frontend without annoying the user. But appropriate user interfaces for this task are still a challenge. In this article, we focus on the design of form elements that unobtrusively allow input data both for human and machine interaction from a semantic point of view. Motivated by web-based scholarly document-submission systems, we first present a brief current-state analysis on the support of semantic input operations, investigate how these users input interfaces can be improved for concept linking purposes with an auto-suggestion behavior and finally evaluate with a proof-of concept implementation and user survey the advantages and acceptance of our approach.
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
IADIS-International Journal on Computer Science and Information Systems
IADIS-International Journal on Computer Science and Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信