
EntityCube is an entity search and summarization engine, which automatically summarizes the Web for the long tail, not just celebrities!
Currently EntityCube is a research prototype and is a test bed for our research on entity search.
The need for collecting and understanding Web information about a real-world entity (such as a person or a product) is currently fulfilled manually through search engines. However, information about a single entity might appear in thousands of Web pages. Even if a search engine could find all the relevant Web pages about an entity, the user would need to sift through all these pages to get a complete view of the entity.
EntityCube is an entity search and summarization system that efficiently generates summaries of Web entities from billions of crawled Web pages. The summarized information is used to build an object-level search engine about people, locations, and organizations and allows for exploration of their relationships.
Specifically, EntityCube automatically generates:
- A biography page for a person.
- A social-network graph for a person.
- A shortest-relationship path between two people.
- All titles of a person that are found on the Web.
Source: Microsoft’s EntityCube
















