A consumer-centric design approach to develop comprehensive knowledge-based systems for keyword discovery
A consumer-centric design approach to develop comprehensive knowledge-based systems for keyword discovery
复制标题
以消费者为中心的设计方法，用于开发基于知识的全面关键字发现系统
DOI：
10.1016/j.eswa.2007.12.061
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Yu
中科院分区：
文献类型：
--
作者：
Yu
互联网是最大的信息储存库。大多数信息检索系统都是以用户知道关键词为前提进行检索的。然而，对于大多数用户来说，识别适当的关键字已经变得越来越成问题。本研究提出了一个全面的知识为基础的系统，帮助用户发现关键字理解人类对一个主题的感情。一个以消费者为中心的设计方法，本体开发。本研究的主要工作有三：收集并归纳消费者的心理认知;将这些认知转换为概念模型的设计元素;以及诠释每一概念的特徴。综合的知识为基础的系统，允许用户输入感官描述作为查询，以推断可能的猜测真实的主题的相似性。一个关于狗品种的识别的案例研究，演示了用户如何通过描述他们所看到的和感觉获得狗品种的名称。实验结果表明，新的设计可以帮助领域知识较少的用户获得合适的关键字。
The Internet is the largest information repository. Most information retrieval systems are based on the premise that users know the keywords for searching subjects. However, identifying the appropriate keywords has become increasingly problematic for most users. This study proposes a comprehensive knowledge-based system that assists users in discovering keywords by comprehending human feelings toward a subject. A consumer-centric design approach is employed for ontology development. The following three tasks are performed: gathering and grouping consumer psychological cognitions; translating these semantics into design elements of concept models; and, annotating the features of each concept. The comprehensive knowledge-based system allows users to input sensory descriptions as a query to infer possible resemblances of guesses to the real subject. A case study regarding the identification of dog breeds is presented to demonstrate how users obtains a dog breed name by describing what they see and feel. Empirical results demonstrate that the new design help users with little domain knowledge obtain appropriate keywords.