BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations

TL;DR

BigCilin is a novel Chinese open-domain knowledge graph featuring automatically extracted fine-grained hypernym-hyponym relations, enabling detailed semantic hierarchies and disambiguation for Chinese named entities.

Contribution

It introduces the first Chinese open-domain knowledge graph with automatic extraction of fine-grained hypernym-hyponym relations and a path disambiguation method for sense mapping.

Findings

Supports querying any Chinese named entity and browsing hypernym-hyponym paths.

Provides a hierarchical view of the knowledge graph.

Enables detailed semantic structure for Chinese entities.

Abstract

This paper presents BigCilin, the first Chinese open-domain knowledge graph with fine-grained hypernym-hyponym re-lations which are extracted automatically from multiple sources for Chinese named entities. With the fine-grained hypernym-hyponym relations, BigCilin owns flexible semantic hierarchical structure. Since the hypernym-hyponym paths are automati-cally generated and one entity may have several senses, we provide a path disambi-guation solution to map a hypernym-hyponym path of one entity to its one sense on the condition that the path and the sense express the same meaning. In order to conveniently access our BigCilin Knowle-dge graph, we provide web interface in two ways. One is that it supports querying any Chinese named entity and browsing the extracted hypernym-hyponym paths surro-unding the query entity. The other is that it gives a top-down browsing view to illust-rate the overall hierarchical structure of our BigCilin knowledge graph over some sam-pled entities.