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ASER: A Large-scale Eventuality Knowledge Graph
Understanding human's language requires complex world knowledge. However...
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AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Most existing knowledge graphs (KGs) in academic domains suffer from pro...
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Technology Knowledge Graph Based on Patent Data
The growing developments in general semantic networks (or knowledge grap...
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CN-Probase: A Data-driven Approach for Large-scale Chinese Taxonomy Construction
Taxonomies play an important role in machine intelligence. However, most...
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AI Marker-based Large-scale AI Literature Mining
The knowledge contained in academic literature is interesting to mine. I...
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Design Knowledge Representation with Technology Semantic Network
Engineers often need to discover and learn designs from unfamiliar domai...
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Uncovering Relations for Marketing Knowledge Representation
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TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph
Knowledge graph is a kind of valuable knowledge base which would benefit lots of AI-related applications. Up to now, lots of large-scale knowledge graphs have been built. However, most of them are non-Chinese and designed for general purpose. In this work, we introduce TechKG, a large scale Chinese knowledge graph that is technology-oriented. It is built automatically from massive technical papers that are published in Chinese academic journals of different research domains. Some carefully designed heuristic rules are used to extract high quality entities and relations. Totally, it comprises of over 260 million triplets that are built upon more than 52 million entities which come from 38 research domains. Our preliminary ex-periments indicate that TechKG has high adaptability and can be used as a dataset for many diverse AI-related applications. We released TechKG at: http://www.techkg.cn.
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