Semantic Document Exchange through Mediation of Machine Natural Language
Peng Qin1; Jingzhi Guo1; Yiling Xu2; Longqi Wang1
Conference NameIEEE 15th International Conference on E-Business Engineering (ICEBE) Location: Xian, PEOPLES R CHINA
Source Publication2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)
Conference Date2018-10-12
Conference PlaceXi'an, China

In global e-commerce, semantic document exchange ensures unambiguity and shares same meaning for documents sender and receiver cross different natural languages (e.g., English to Chinese), as the difference makes the translation between cross-language documents complex and inaccurate. This paper proposed a novel collaborative framework of semantic document exchange through a mediation approach which provides a sentence-based machine natural language (MNL). Here, the MNL constructs a grammatical case structure to compatible with all languages. Thus, the mediation framework enables the sentence computer-readable and understandable without ambiguity, simultaneously the MNL can improve accuracy and reduce the complexity of mapping in semantic document exchange.

KeywordSemantic Document Exchange Machine Natural Language Universal Grammar Natural Language Processing
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science
WOS SubjectComputer Science, Interdisciplinary Applications
WOS IDWOS:000459615100036
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Affiliation1.Faculty of Science and Technology, University of Macau, Macau, China
2.Faculty of Arts and Humanities, University of Macau, Macau, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Peng Qin,Jingzhi Guo,Yiling Xu,et al. Semantic Document Exchange through Mediation of Machine Natural Language[C],2018:245-250.
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