Workshop on Ontology Learning for Behavioral Knowledge Embeddedness

职务名称：IIS：行为知识嵌入的本体学习研讨会PI：Kai Larsen行为知识嵌入的本体学习研讨会旨在汇集自然语言技术，计算机和行为科学的专家，使用两种方法开发语义本体：1）使用自然语言技术对理论和结构之间的关系进行初始数据提取;（2）召集一个多学科小组来澄清概念。这样的本体可以用来澄清概念化和词汇，知识的基础，并允许该领域在共享词汇的基础上发展。研讨会将产生一个跨学科的知识库，使研究人员能够更好地搜索，整合和理解过去的行为研究。目前的行为研究依赖于过多的理论和结构。过去的研究表明，有显着的重叠，在这些方面和现存的行为理论的分析可能会提供一个急需的本体论的行为知识嵌入性和整合，本身的必要要求，以澄清知识的结构内的大型行为理论的存在。没有这样的本体论，澄清概念化和词汇知识的基础是不可能的。除了开发本体之外，跨学科知识库将使研究人员能够更好地利用过去的研究。本次研讨会的主要目标是：1）评估行为理论工作的不同本体论基础的现状，2）促进对本体论开发的共同理解，并从自然语言处理，可视化和计算本体论领域的专家那里学习，3）推进理论整合工作的严谨性，以实现本体论的价值。

Title: IIS: Workshop on Ontology Learning for Behavioral Knowledge EmbeddednessPI: Kai Larsen The Workshop on Ontology Learning for Behavioral Knowledge Embeddedness is designed to bring together experts in natural language technologies, computer and behavioral science to develop semantic ontology using two methods: 1) an initial data extraction of relationships between theories and constructs using natural language technologies; and 2) bringing together a multidisciplinary team to clarify the conceptualizations. Such an ontology can be used to clarify the conceptualizations and vocabulary that underlie knowledge and allow the field to grow on a shared vocabulary. The workshop will yield a transdisciplinary knowledge base that will enable researchers to better search, integrate, and understand past behavioral research. Current research in behavior relies on a plethora of theories and constructs. Past research has suggested that there is significant overlap in these terms and that analysis of extant behavioral theories may provide a much-needed ontology of behavioral knowledge-embeddedness and -integration, itself the necessary requirement to clarify the structure of knowledge within the large set of behavioral theories in existence. Without such an ontology, clarifying the conceptualizations and vocabulary that underlie knowledge is not possible. Beyond developing an ontology, a transdisciplinary knowledge base will enable researchers to better utilize past research. The major goals of this proposed workshop are to 1) evaluate the current state of disparate ontological foundations for behavioral theory efforts, 2) facilitate the development of shared understanding of ontology development and learning from experts in the fields of natural language processing, visualization, and computational ontologies, and 3) advance the rigor of theory-integrative work towards ontology-worthy efforts.