A Thesaurus and Online Encyclopedia Merging Method for Large Scale Domain-Ontology Automatic Construction

SUMMARYLinked Open Data (LOD) at Schema-Level and knowledge described in Chinese is an important part of the LOD project. Previous work generally ignored the rules of word-order sensitivity and polysemy in Chinese or could not deal with the out-of-vocabulary (OOV) mapping task. There is still no efficient system for large-scale Chinese ontology mapping. In order to solve the problem, this study proposes a novel TongYiCiCiLin (TYCCL) and Sequence Alignment-based Chinese Ontology Mapping model, which is called TongSACOM, to evaluate Chinese concept similarity in LOD environment. Firstly, an improved TYCCLbased similarity algorithm is proposed to compute the similarity between atomic Chinese concepts that have been included in TYCCL. Secondly, a global sequence-alignment and improved TYCCL-based combined algorithm is proposed to evaluate the similarity between Chinese OOV. Finally, comparing the TongSACOM to other typical similarity computing algorithms, and the results prove that it has higher overall performance and usability. This study may have important practical significance for promoting Chinese knowledge sharing, reusing, interoperation and it can be widely applied in the related area of Chinese information processing.

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“…The strategy for building ontology for Baidu Baike and Hudong Baike was based on the methods reported in Refs. [5], [31].…”

Section: Experimental Results and Analysismentioning

confidence: 99%

TongSACOM: A TongYiCiCiLin and Sequence Alignment-Based Ontology Mapping Model for Chinese Linked Open Data

Wang

Tang

et al. 2017

IEICE Trans. Inf. & Syst.

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“…However, in the case of ambiguity in the data sets, it cannot achieve integration. Wang et al [13], [14] propose a new approach of automatic building for domain ontology based on machine learning algorithm, and by which the large-scale e-Gov ontology is built automatically. In the first stage, rough mapping from thesaurus to ontology is carried out, and domain rough ontology is formed according to the conversion rules proposed.…”

Section: A Knowledge Basementioning

confidence: 99%

TriTag-NFPF: Knowledge Denoising for Chinese Encyclopedia based on Triple Tag-Constructed Potential Function

Wang

et al. 2019

IEEE Access

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In this paper, a novel method is proposed for Chinese large-scale online encyclopedia knowledge denoising. Firstly, the initial similarity of the triples is acquired by the similarity computing method integrating the Edit-Distance and TongYiCiCiLin similarity algorithm. Secondly, a novel nuclear field-like potential function of the Infobox knowledge triples is constructed in virtue of Chinese encyclopedia entry semantic tag. Finally, large-scale knowledge triple clustering and denoising are performed by means of the improved potential function proposed in this paper for the purpose of minimizing the influence of massive repetition and ambiguity in the Chinese open encyclopedia Knowledge Base (KB). The proposed method has solved the problems of semantic duplication, ambiguity and inappropriate classification of knowledge triples arising from constructing Chinese KBs. The experimental results indicate that the open-domain oriented Chinese encyclopedia KBs constructed by the method proposed in this paper is outperformed than the stateof-the-art methods. INDEX TERMS Knowledge base, online encyclopedia, knowledge denoising, similarity computing, nuclear field-like potential function.

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A Thesaurus and Online Encyclopedia Merging Method for Large Scale Domain-Ontology Automatic Construction

Cited by 2 publications

References 11 publications

TongSACOM: A TongYiCiCiLin and Sequence Alignment-Based Ontology Mapping Model for Chinese Linked Open Data

TongSACOM: A TongYiCiCiLin and Sequence Alignment-Based Ontology Mapping Model for Chinese Linked Open Data

TriTag-NFPF: Knowledge Denoising for Chinese Encyclopedia based on Triple Tag-Constructed Potential Function

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