Improving Multilingual Semantic Interoperation in Cross-Organizational Enterprise Systems Through Concept Disambiguation
Improving Multilingual Semantic Interoperation in Cross-Organizational Enterprise Systems Through Concept Disambiguation
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DOI：
10.1109/tii.2012.2188899
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发表时间：
2012-02
影响因子：
12.3
通讯作者：
J. Guo;Lida Xu;Guangyi Xiao;Zhiguo Gong
中科院分区：
文献类型：
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作者：
J. Guo;Lida Xu;Guangyi Xiao;Zhiguo Gong
对于跨组织企业系统和电子商务系统中的多语言语义互操作，语义一致性是一个尚未很好解决的研究问题。本文提出了一个概念连接近义词（NSG）的概念消歧框架，以提高多语言语义互操作。NSG框架提供了一个协同词汇编辑的词汇预处理过程，进一步保证了语义一致的词汇，从而在不同上下文的信息系统之间构建语义一致的业务流程和文档。NSG提供的词汇预处理自动化的过程中发现潜在的近义词集，并确定可协同编辑的近义词集。NSG框架的实现包括一个概率模型，该模型基于新引入的语义相关度方法SRCT计算概念之间的概念值。本文实现了基于SRCT的方法，并与现有的一些语义相关性方法进行了比较。实验表明，基于SRCT的方法优于现有的方法。本文对现有的语义相关度方法进行了改进，降低了协同词汇编辑的协作成本。
For the multilingual semantic interoperations in cross-organizational enterprise systems and e-commerce systems, semantic consistency is a research issue that has not been well resolved. This paper contributes to improving multilingual semantic interoperation by proposing a concept-connected near synonym (NSG) framework for concept disambiguation. NSG framework provides a vocabulary preprocessing process of collaborative vocabulary editing, which further ensures semantically consistent vocabulary for building semantically consistent business processes and documents between context-different information systems. The vocabulary preprocessing offered by NSG automates the process of finding potential near synonym sets and identifying collaboratively editable near synonym sets. The realization of NSG framework includes a probability model that computes concept values between concepts based on a newly introduced semantic relatedness method-SRCT. In this paper, SRCT-based methods are implemented and compared with some existing semantic relatedness methods. Experiments have shown that SRCT-based methods outperform the existing methods. This paper has made an improvement on the existing methods of semantic relatedness and reduces the collaboration cost of collaborative vocabulary editing.