Knowledge-Oriented Tool Complex for Developing Databases of Scientific Publications and Taking into account Semantic Web Technology

M. Petrenko, O. Palagin, M. Boyko, S.M. Matveyshyn
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Abstract

Introduction. The development of theories, methods, and algorithms for the discovery and formation of new knowledge has always occupied one of the central places for any researcher, especially if he is actively working on the creation of new scientific publications. It is known that there is no universal language for the formal description of concepts (knowledge) and systemology of transdisciplinary scientific research. And therefore, scientists face a number of priority problems, including the problem of significantly accelerating the receipt by a researcher of the cognitively structured information he needs from his sources. The tool complex for processing databases of scientific publications is oriented in this way to a researcher who has published from several tens to hundreds of scientific papers. We are not aware of search engines that could provide such information to a researcher in the shortest possible time. The toolkit implements Information Retrieval and Knowledge Discovery in Databases technologies with an emphasis on Semantic Web and cognitive graphics technologies and tools. The development of such a tool complex involves three stages: at the first stage, tools for implementing the complex, methods and algorithms for the interaction of the “User – Knowledge Engineer – Remote Endpoint” system and filling it with data are created; the second stage, the tasks of multimedia representation of figurative-conceptual structures are solved, which are described in scientific documents, and at the third stage — the solution of the problem of extracting new knowledge. Purpose. The purpose of our research was to further develop a tool complex for processing databases of scientific publications, which allows a scientist to significantly speed up the receipt of the necessary cognitively structured information from his sources. Methods. The methods and models used in the work are based on the information technologies of the Semantic Web and ontological engineering. Results. A tool complex for processing databases of scientific publications based on a remote endpoint based on the Apachi Jena Fuseki server, basic UML diagrams of functioning and examples of executing user requests have been developed. Conclusion. The article introduced and described the architectural and structural organization of the tool complex, which includes a local network from the user’s PC and the PC of the administrator-knowledge engineer and a remote endpoint based on the Apachi Jena Fuseki server, the main UML diagrams of the tool complex functioning and examples of executing user requests.
基于语义Web技术的面向知识的科学出版物数据库开发工具综合体
介绍。发现和形成新知识的理论、方法和算法的发展一直占据着任何研究人员的中心位置之一,特别是如果他正在积极致力于创造新的科学出版物。众所周知,对于跨学科科学研究的概念(知识)和系统的正式描述没有统一的语言。因此,科学家们面临着许多优先考虑的问题,包括如何显著加快研究人员从他的信息源中获得他所需要的认知结构信息的速度。处理科学出版物数据库的工具综合体以这种方式面向已发表数十到数百篇科学论文的研究人员。我们不知道搜索引擎可以在最短的时间内为研究人员提供这样的信息。该工具包实现了数据库中的信息检索和知识发现技术,重点是语义网和认知图形技术和工具。这种工具综合体的开发包括三个阶段:在第一阶段,创建实现综合体的工具,“用户-知识工程师-远程端点”系统交互的方法和算法,并填充数据;第二阶段,解决科学文献中描述的图形-概念结构的多媒体表示问题;第三阶段,解决新知识的提取问题。目的。我们研究的目的是进一步开发一种用于处理科学出版物数据库的复杂工具,使科学家能够大大加快从其来源接收必要的认知结构信息的速度。方法。工作中使用的方法和模型是基于语义网和本体工程的信息技术。结果。已经开发了一个用于处理基于Apachi Jena Fuseki服务器的远程端点的科学出版物数据库的工具综合体、基本的UML功能图和执行用户请求的示例。结论。本文介绍并描述了工具综合体的体系结构和结构组织,其中包括来自用户PC和管理员知识工程师PC的本地网络,以及基于Apachi Jena Fuseki服务器的远程端点,工具综合体功能的主要UML图和执行用户请求的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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