基于关联数据的中国企业知识图谱构建

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI:10.1109/ICOSC.2015.7050795

Qingliang Miao, Yao Meng, Bo Zhang

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引用次数: 14

摘要

企业知识图谱对企业及其管理机构来说都是至关重要的。然而，企业知识图谱的构建面临着异构分类、知识不一致或冲突、缺乏语义链接等挑战。本文采用关联数据范式，通过集成异构企业数据本身构建企业知识图谱，并将企业数据与外部数据进行链接。在真实数据集上的初步实验表明，该方法是有效的。

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Chinese enterprise knowledge graph construction based on Linked Data

Enterprise knowledge graph is crucial for both enterprises and their management agencies. However, enterprise knowledge graph construction faces several challenges such as heterogeneous taxonomies, knowledge inconsistencies or conflicts and lack of semantic links. In this paper, we use Linked Data paradigm to construct enterprise knowledge graph by integrating heterogeneous enterprise data itself as well as link enterprise data with external data. Preliminary experiment on real world dataset shows the proposed approach is effective.

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来源期刊

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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