THEORYON: A DESIGN FRAMEWORK AND SYSTEM FOR UNLOCKING BEHAVIORAL KNOWLEDGE THROUGH ONTOLOGY LEARNING
THEORYON: A DESIGN FRAMEWORK AND SYSTEM FOR UNLOCKING BEHAVIORAL KNOWLEDGE THROUGH ONTOLOGY LEARNING
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DOI：
10.25300/misq/2020/15323
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发表时间：
2020-12-01
期刊：
影响因子：
7.3
通讯作者：
Abbasi, Ahmed
中科院分区：
文献类型：
--
作者：
Li, Jingjing;Larsen, Kai;Abbasi, Ahmed
行为研究的学术信息寻求过程包括三个阶段：搜索，访问和处理过去的研究。现有的IT工件，如Google Scholar，部分解决了搜索和访问阶段，但未能促进处理阶段，造成知识不可访问的问题。我们提出了一个行为本体学习从文本（BOLT）的设计框架，提出了具体的处方，开发系统能够支持研究人员在他们的行为知识的处理。基于BOLT，我们开发了一个搜索引擎-TheoryOn-允许研究人员直接搜索结构，构建关系，前因和后果，并轻松整合相关理论。我们的设计框架和搜索引擎进行了严格的评估，通过一系列的数据挖掘实验，随机用户实验和适用性检查。数据挖掘实验结果证实了BOLT的设计原则。随机实验比较了TheoryOn与EBSCOhost和Google Scholar在四个信息检索任务中的表现，说明了TheoryOn在信息搜索过程中减少假阳性和假阴性的能力。此外，深入的适用性检查与IS学者提供了定性支持的效力，基于本体的搜索和有用的TheoryOn在现有研究的处理阶段。评估结果共同强调了我们提出的设计工件的意义，为解决行为研究文献的知识难以接近的问题。
The scholarly information-seeking process for behavioral research consists of three phases: searching, accessing, and processing of past research. Existing IT artifacts, such as Google Scholar, have in part addressed the searching and accessing phases, but fall short of facilitating the processing phase, creating a knowledge inaccessibility problem. We propose a behavioral ontology learning from text (BOLT) design framework that presents concrete prescriptions for developing systems capable of supporting researchers during their processing of behavioral knowledge. Based upon BOLT, we developed a search engine-TheoryOn-to allow researchers to directly search for constructs, construct relationships, antecedents, and consequents, and to easily integrate related theories. Our design framework and search engine were rigorously evaluated through a series of data mining experiments, a randomized user experiment, and an applicability check. The data mining experiment results lent credence to the design principles prescribed by BOLT. The randomized experiment compared TheoryOn with EBSCOhost and Google Scholar across four information retrieval tasks, illustrating TheoryOn 's ability to reduce false positives and false negatives during the information-seeking process. Furthermore, an in-depth applicability check with IS scholars offered qualitative support for the efficacy of an ontology-based search and the usefulness of TheoryOn during the processing phase of existing research. The evaluation results collectively underscore the significance of our proposed design artifacts for addressing the knowledge inaccessibility problem for behavioral research literature.