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Accelerating Biomedical Research through Semantic Web Services

机译：通过语义Web服务加速生物医学研究

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摘要

In view of the fact that there is a lot of biomedical research data, rapidly accumulating to relevant repositories, there is an urgent need these data to be delivered, as soon as possible, to the specific scientific audience interesting in it. Unfortunately, the current database technologies often isolate data rather than making it easily and freely accessible. A considerable effort by the information scientists is needed to process the resources that meet the scientific query criteria as well as to index and present them as useful metadata. Taking into account that biomedical data are mostly hidden from the public eye, often stored in not indexed databases or libraries and inaccessible by standard search engines, the retrieval, storing, annotating, and qualification of health information remain major challenges. The evolution of the World Wide Web from a collection of unstructured and predominantly human readable data into the Semantic Web of knowledge with meaningful relationships between resources and machine readable data will significantly improve our ability to conduct bioinformatics analyses and to make better clinical decisions that positively affect healthcare outcomes. To this end novel semantic web services arise, which depend on markup ontologies in order to make biological and clinical data logical analysis computational and reasonable processed through the utilization of appropriate algorithms. Herein, we discuss the use of these technologies for the efficient and reliable retrieval of meaningful biomedical data from the relevant resources and repositories.
机译：鉴于存在大量的生物医学研究数据，这些数据迅速积累到相关的资料库中，迫切需要尽快将这些数据传递给感兴趣的特定科学读者。不幸的是，当前的数据库技术经常隔离数据，而不是使它们易于免费访问。信息科学家需要付出相当大的努力来处理满足科学查询条件的资源，并对其进行索引并将其显示为有用的元数据。考虑到生物医学数据大部分是对公众隐藏的，通常存储在未编入索引的数据库或图书馆中，并且标准搜索引擎无法访问，因此健康信息的检索，存储，注释和鉴定仍然是主要挑战。万维网从非结构化且主要是人类可读数据的集合到具有资源与机器可读数据之间有意义关系的语义知识网的演变，将显着提高我们进行生物信息学分析的能力，并做出更好的临床决策，从而对我们产生积极影响医疗结果。为此，出现了新颖的语义Web服务，该服务依赖于标记本体，以使生物学和临床数据的逻辑分析能够通过使用适当的算法进行计算和合理处理。本文中，我们讨论了如何使用这些技术从相关资源和存储库中有效而可靠地检索有意义的生物医学数据。

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