| 情境本体驱动的多源知识融合框架 |
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| 引用本文： | 唐旭丽,张斌,傅维刚.情境本体驱动的多源知识融合框架[J].图书情报工作,2018,62(22):109-117. |
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| 作者姓名： | 唐旭丽 张斌 傅维刚 |
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| 作者单位： | 1.武汉大学信息资源研究中心 武汉 430072;2.武汉大学大数据研究院 武汉 430072;3.武汉大学国家文化发展研究院 武汉 430072;4.武汉大学中国传统文化研究中心 武汉 430072 |
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| 基金项目： | 本文系国家自然科学基金重点国际（地区）合作研究项目"大数据环境下的知识组织与服务创新研究"（项目编号：71420107026）和国家自然科学基金国际（地区）合作与交流项目"基于慢病知识管理的智慧养老平台研究"（项目编号：71661167007）研究成果之一。 |
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| 摘 要： | 目的/意义] 情境建模是解决信息泛滥、信息过载、实现信息按需服务的重要手段,目前已有的知识库构建和知识融合方法普遍忽略了情境信息,阻碍了知识库的实际应用,降低了知识服务的效率和效果。方法/过程] 综合考虑环境情境、个人情境和领域本体三个方面,提出一种情境本体驱动的多源知识融合框架,并以此框架融合生成基于情境的药物不良反应知识库ConADR Ontology。在本框架的指导下,以药物不良反应的知识库构建为例,半自动实现情境本体模式层的构建和数据层的扩充;并以情境本体作为中介本体,实现情境本体,药物不良反应领域本体ADReCS和人类疾病领域本体Disease Ontology间的融合;最终在此基础上实现基于SPARQL的案例查询。结果/结论] 实例验证表明,本框架具有一定的可行性,对知识库的建设和应用具有理论性指导和参考价值。
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| 关 键 词： | 情境本体 多源知识融合 知识库构建 药物不良反应 |
| 收稿时间： | 2018-03-04 |
Context Ontology Driven Multi-source Knowledge Fusion Framework |
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| Tang Xuli,Zhang Bin,Fu Weigang.Context Ontology Driven Multi-source Knowledge Fusion Framework[J].Library and Information Service,2018,62(22):109-117. |
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| Authors: | Tang Xuli Zhang Bin Fu Weigang |
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| Institution: | 1.Center for Studies of Information Resources, Wuhan University, Wuhan 430072;2.Big Data Institute, Wuhan University, Wuhan 430072;3.National Institute of Cultural Development, Wuhan University, Wuhan 430072;4.Center of Traditional Chinese Cultural Studies, Wuhan University, Wuhan 430072 |
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| Abstract: | Purpose/significance] Context-awareness modeling is an important method to solve information overflow, information overload, and to realize information on demand, however, it always being ignored in the construction of knowledge base, which hinders the practical application of knowledge base as well as reduces the efficiency and effectiveness of knowledge service.Method/process] This paper proposed an ontology-based context driven multi-source knowledge fusion framework taking the context, personal profiles and domain ontology into consideration. Under the guidance of this framework, this paper constructed an Adverse Drug Reactions (ADR) knowledge base with respect to the contextual relevance naming ConADR Ontology. Firstly, we constructed a situation ontology which can semi-automatically update schema and extend ontology instance, and then successfully fuse it with existed domain ontology ADReCS and Disease Ontology using Jena and Protégé. Finally, we developed a case query application based on SPARQL.Result/conclusion] The example shows that the framework has a certain feasibility and theoretical reference value for the merger and construction of knowledge base. |
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| Keywords: | context ontology multi-source knowledge fusion construction of knowledge base adverse drug reactions |
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