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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：随着诸如物联网（IoT）等技术的进步，科学研究已成为数据驱动的技术，主要基于大量原始数据的收集和异构数据集的分析。计算资源允许以某种方式进行敏捷的数据生成和分析，这可以由研究人员团队共同提供协助。但是，为了在成员完全参与的情况下实现全面协作，有必要确保各部分之间的数据连续流动并验证其数据的兼容性。为了实现这一目标，需要强调协作模型的某些方面，这些方面由沟通，合作和协调过程组成。本文提出了在科学软件生态系统平台中构建的协作研究环境，该平台实施基于本体的数据集成策略，以语义方式提供不同数据源的全面数据模型，以增强科学协作的目的。

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