![]() For example, Cyc project contains about 120,000 concepts after 25 years of evolution. Many existing taxonomies are constructed by human experts and are difficult to be scaled up. Previous taxonomies have limited concept space. However, we observe two major limitations in existing knowledge graphs, which motivate us to build a brand-new knowledge taxonomy, Probase, to tackle general purpose understanding of human language. To enable machines to understand the concept of an instance like human beings, one needs a knowledge graph consisted of instances, concepts, as well as their relations. Nature magazine book review calls it an understatement, because “Without concepts, there would be no mental world in the first place”. Psychologist Gregory Murphy began his highly acclaimed book with the statement “Concepts are the glue that holds our mental world together”. For example, people may not understand “Gor Mahia”, but with the concept “football club” described in Wikipedia, people can capture the semantic meaning easily. Humans understand an instance, especially an unfamiliar instance, by its basic concept in an appropriate level, which is defined as Basic-level Categorization (BLC) by psychologists and linguists. Concepts are indispensable for humans and machines to understand the semantic meanings underlined in the raw text.
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