  Pre-sales customer service is of importance to E-commerce platforms as it
contributes to optimizing customers' buying process. To better serve users, we
propose AliMe KG, a domain knowledge graph in E-commerce that captures user
problems, points of interests (POI), item information and relations thereof. It
helps to understand user needs, answer pre-sales questions and generate
explanation texts. We applied AliMe KG to several online business scenarios
such as shopping guide, question answering over properties and recommendation
reason generation, and gained positive results. In the paper, we systematically
introduce how we construct domain knowledge graph from free text, and
demonstrate its business value with several applications. Our experience shows
that mining structured knowledge from free text in vertical domain is
practicable, and can be of substantial value in industrial settings.
