Abstract
Knowledge graphs play an important role in many applications, such as data integration, natural language understanding and semantic search. Recently, there has been some work on constructing legal knowledge graphs from legal judgments. However, they suffer from some problems. First, existing work follows the Western legal system, thus cannot be applied to other legal systems, such as Asian legal systems; Second, existing work intends to build a precise legal knowledge graph, which is often not effective, especially when constructing the precise relationship between legal terms. To solve these problems, in this paper, we propose a framework for constructing a legal hybrid knowledge network from Chinese encyclopedia and legal judgments. First, we construct a network of legal terms through encyclopedia data. Then, we build a legal knowledge graph through Chinese legal judgments which captures the strict logical connections in the legal judgments. Finally, we build a Chinese legal hybrid knowledge network by combining the network of legal terms and the legal knowledge graph. We also evaluate the algorithms which are used to build the legal hybrid knowledge network on a real-world dataset. Experimental results demonstrate the effectiveness of these algorithms.
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This work was supported by National Key R&D Program of China (2018YFC0830200) and National Natural Science Foundation of China Key Project (U1736204).
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Bi, S., Huang, Y., Cheng, X., Wang, M., Qi, G. (2019). Building Chinese Legal Hybrid Knowledge Network. In: Douligeris, C., Karagiannis, D., Apostolou, D. (eds) Knowledge Science, Engineering and Management. KSEM 2019. Lecture Notes in Computer Science(), vol 11775. Springer, Cham. https://doi.org/10.1007/978-3-030-29551-6_56
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