• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Interactive technology and smart education >WhoKnows? Evaluating linked data heuristics with a quiz that cleans up DBpedia
【24h】

WhoKnows? Evaluating linked data heuristics with a quiz that cleans up DBpedia

机译：谁知道？通过清理DBpedia的测验评估链接的数据启发式方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Purpose - Linking Open Data (LOD) provides a vast amount of well structured semantic information, but many inconsistencies may occur, especially if the data are generated with the help of automated methods. Data cleansing approaches enable detection of inconsistencies and overhauling of affected data sets, but they are difficult to apply automatically. The purpose of this paper is to present WhoKnows?, an online quiz that generates different kinds of questionnaires from DBpedia data sets. Design/methodology/approach - Besides its playfulness, WhoKnows? has been developed for the evaluation of property relevance ranking heuristics on DBpedia data, with the convenient side effect of detecting inconsistencies and doubtful facts. Findings - The original purpose for developing WhoKnows? was to evaluate heuristics to rank LOD properties and thus, obtain a semantic relatedness between entities according to the properties by which they are linked. The presented approach is an efficient method to detect popular properties within a limited amount of triples. Ongoing work continues in the development of sound property ranking heuristics for the purpose of detecting the most relevant characteristics of entities. Originality/value - WhoKnows? uses the approach of "Games with a Purpose" to detect inconsistencies in Linked Data and score properties to rank them for sophisticated semantic search scenarios.
机译：目的-链接开放数据（LOD）提供了大量结构良好的语义信息，但是可能会出现许多不一致的情况，尤其是在借助自动方法生成数据的情况下。数据清理方法可以检测到不一致性和检修受影响的数据集，但是很难自动应用。本文的目的是介绍WhoKnows ?，这是一个在线测验，可以从DBpedia数据集中生成不同种类的问卷。设计/方法/方法-除了趣味外，谁知道？已开发出用于评估DBpedia数据上的属性相关性排名启发法的方法，具有检测不一致和可疑事实的便捷副作用。调查结果-开发WhoKnows的最初目的？评估启发式算法以对LOD属性进行排名，从而根据链接实体的属性获得实体之间的语义相关性。提出的方法是一种有效的方法来检测有限数量的三元组中的流行属性。为了检测实体最相关的特征，正在进行不断的工作以发展声音属性排名启发法。创意/价值-谁知道？使用“有目的的游戏”的方法来检测链接数据中的不一致情况，并对属性进行评分以对复杂的语义搜索方案进行排名。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号