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Authors: Rong Duan and Kangxing Hu

Affiliation: Huawei Technology, Shenzhen, China

Keyword(s): Enterprise Knowledge Graphs, Cold Start, Link Prediction.

Abstract: Enterprise Knowledge Graphs(EKG) is a powerful tool for Enterprise Knowledge Management(EKM). Most EKG construction suffers cold start problem. In reality, EKG construction is an interactive process,in which domain experts provide a small seed graph, and data driven methods are applied to expand the graph. This paper proposes a framework to solve EKG cold start problem by integrating graph form expert knowledge with non-graph form corpus. The proposed framework employs expert knowledge to guide unsupervised learning, and crosses check the quality of expert knowledge simultaneously. A coarser cluster level and finer entity level vectorization is proposed to predict the link between graph nodes and cluster words. And also, a combined strategy is adopted to measure the importance of the predicted link, and provide to the expert to evaluate incrementally. The proposed framework solves the ”labor intensive” EKG cold start construction problem and utilizes expert knowledge efficiently. Sim ulation is generated to illustrate the properties of defined measurements, and real-world application is discussed to show the challenges in practices. (More)

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Paper citation in several formats:
Duan, R. and Hu, K. (2020). Cold Start of Enterprise Knowledge Graph Construction. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 153-160. DOI: 10.5220/0010055301530160

@conference{kmis20,
author={Rong Duan. and Kangxing Hu.},
title={Cold Start of Enterprise Knowledge Graph Construction},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS},
year={2020},
pages={153-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010055301530160},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KMIS
TI - Cold Start of Enterprise Knowledge Graph Construction
SN - 978-989-758-474-9
IS - 2184-3228
AU - Duan, R.
AU - Hu, K.
PY - 2020
SP - 153
EP - 160
DO - 10.5220/0010055301530160
PB - SciTePress

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