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Using Linked Data for Integrating Educational Medical Web Databases Based on BioMedical Ontologies

机译：使用链接数据集成基于BioMedical本体的教育医学Web数据库

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摘要

Open data are playing a vital role in different communities, including governments, businesses and education. This revolution has had a high impact on the education field. Recently, Linked Data are being adopted for publishing and connecting data on the web by exposing and connecting data, which were not previously linked. In the context of education, applying Linked Data to the growing amount of open data used for learning is potentially highly beneficial. This paper proposes a system that tackles the challenges of data acquisition and integration from distributed web data sources into one linked data set. The application domain of this work is medical education, and the focus is on integrating educational content in the form of articles published in online educational libraries and Web 2.0 content that can be used for education. The process of integrating a collection of heterogeneous resources is to create links that connect the resources collected from distributed web data sources based on their semantics. The proposed system harvests metadata from distributed web sources and enriches it with concepts from biomedical ontologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), that enable its linking. The final result of building this system is a linked data set of more than 10 000 resources collected from PubMed Library, YouTube channels and Blogging platforms. The final linked data set is evaluated by developing information retrieval methods that exploit the SNOMED CT hierarchical relations for accessing and querying the data set. Ontology-based browsing method has been developed for exploring the data set, and the browsing results have been clustered to evaluate its linkages. Furthermore, ontology-based query searching method has been developed and tested to enhance the discoverability of the data. The results were promising and had shown that using SNOMED CT for integrating distributed resources on the web is beneficial.
机译：开放数据在包括政府，企业和教育在内的不同社区中发挥着至关重要的作用。这场革命对教育领域产生了重大影响。最近，通过公开和连接以前未链接的数据，已采用链接数据在Web上发布和连接数据。在教育方面，将链接数据应用于越来越多的用于学习的开放数据可能具有极大的好处。本文提出了一种系统，该系统解决了从分布式Web数据源到一个链接数据集的数据获取和集成的挑战。这项工作的应用领域是医学教育，其重点是以在线教育图书馆中发表的文章和可用于教育的Web 2.0内容的形式整合教育内容。集成异构资源集合的过程是创建链接，这些链接根据语义从分布式Web数据源收集的资源进行连接。拟议的系统从分布式Web来源中收集元数据，并使用来自生物医学本体的概念（例如医学-临床术语的系统命名法（SNOMED CT））进行丰富，以实现其链接。构建该系统的最终结果是一个链接数据集，该数据集包含从PubMed库，YouTube频道和Blogging平台收集的1万多个资源。通过开发利用SNOMED CT层次关系访问和查询数据集的信息检索方法，可以评估最终的链接数据集。已经开发了基于本体的浏览方法来浏览数据集，并且已将浏览结果聚类以评估其链接。此外，已经开发并测试了基于本体的查询搜索方法，以增强数据的可发现性。结果令人鼓舞，并表明使用SNOMED CT集成Web上的分布式资源是有益的。

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