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Supporting the Collaborative Research through Semantic Data Integration

机译：通过语义数据集成支持协作研究

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摘要

With advances in technologies, such as the Internet of Things (IoT), scientific research has become data-driven, based mainly on the intensive collection of raw data and analyses of heterogeneous data sets. Computational resources has allowed a somehow agile data production and analytics, which can be collaboratively assisted by teams of researchers. However, in order to achieve a full collaboration, with members altogether engaged, it is necessary to ensure a continuous data flow between the parts and to validate the compatibility of their data. To accomplish such aim, it is required to stress some aspects of the collaboration model, composed by processes of communication, cooperation, and coordination. This paper presents a collaborative research environment built in a scientific software ecosystem platform that implements an ontology-based data integration strategy to semantically provide comprehensive data models of disparate data sources, with the aim of enhancing the scientific collaboration.
机译：随着技术的进步，如物联网（物联网），科学研究已经成为数据驱动的，主要是基于对异构数据集的强化数据和分析的密集集合。计算资源允许某种敏捷数据生产和分析，该分析可以由研究人员团队协作。然而，为了实现完整的协作，通过成员合作，有必要确保部件之间的连续数据流并验证其数据的兼容性。为了实现这样的目标，需要强调由沟通，合作和协调流程组成的协作模型的某些方面。本文介绍了一个科学软件生态系统平台内置的协作研究环境，实现了基于本体的数据集成策略，以便在语义上提供不同数据源的全面数据模型，以提高科学协作。

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