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首页> 外文会议>Database and Expert Systems Applications; Lecture Notes in Computer Science; 4080 >Integration of Protein Data Sources Through PO
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Integration of Protein Data Sources Through PO

机译：通过PO整合蛋白质数据源

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摘要

Resolving heterogeneity among various protein data sources is a crucial problem if we want to gain more information about proteomics process. Information from multiple protein databases like PDB, SCOP, and UniProt need to integrated to answer user queries. Issues of Semantic Heterogeneity haven't been addressed so far in Protein Informatics. This paper outlines protein data source composition approach based on our existing work of Protein Ontology (PO). The proposed approach enables semi-automatic interoperation among heterogeneous protein data sources. The establishment of semantic interoperation over conceptual framework of PO enables us to get a better insight on how information can be integrated systematically and how queries can be composed. The semantic interoperation between protein data sources is based on semantic relationships between concepts of PO. No other such generalized semantic protein data interoperation framework has been considered so far.
机译：如果我们想获得有关蛋白质组学过程的更多信息，解决各种蛋白质数据源之间的异质性是一个关键问题。需要整合来自多个蛋白质数据库（如PDB，SCOP和UniProt）的信息才能回答用户查询。迄今为止，蛋白质信息学尚未解决语义异质性问题。本文概述了基于我们现有的蛋白质本体论（PO）的蛋白质数据源组成方法。所提出的方法可以实现异构蛋白质数据源之间的半自动互操作。通过PO概念框架进行语义互操作的建立，使我们能够更好地了解如何系统地集成信息以及如何构成查询。蛋白质数据源之间的语义互操作基于PO概念之间的语义关系。到目前为止，还没有考虑过其他此类广义语义蛋白质数据互操作框架。

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