  We address the problem of constructing a knowledge base of entity-oriented
search intents. Search intents are defined on the level of entity types, each
comprising of a high-level intent category (property, website, service, or
other), along with a cluster of query terms used to express that intent. These
machine-readable statements can be leveraged in various applications, e.g., for
generating entity cards or query recommendations. By structuring
service-oriented search intents, we take one step towards making entities
actionable. The main contribution of this paper is a pipeline of components we
develop to construct a knowledge base of entity intents. We evaluate
performance both component-wise and end-to-end, and demonstrate that our
approach is able to generate high-quality data.
