Abstract: The present invention allows for an easy-to-use, web-based, schema-less database system that provides organizations the ability to organically model, store, and access information in an iterative and evolutionary manner. Users are encouraged to grow and explore the information domain intuitively. One embodiment is a method of collaboratively managing an entity-relationship graph, including: displaying the entity-relationship graph to a voting user; collecting data on expert status of the voting user indicating whether the voting user is an expert on a given topic; assigning a voting weight to one or more relationships in said entity-relationship graph in response to an input from the voting user and based on the voting user's expert status; and sorting the relationships in the entity-relationship graph based at least on said voting weight.

Abstract: The present invention allows for an easy-to-use, web-based, schema-less database system that provides organizations the ability to organically model, store, and access information in an iterative and evolutionary manner. Users are encouraged to grow and explore the information domain intuitively. One embodiment is a method of collaboratively managing an entity-relationship database, including: displaying an entity-relationship graph to a first user, and creating a new relationship in the database in response to an input from said first user. Then, displaying an updated entity-relationship graph to a second user, and creating a second new relationship in the database in response to an input from the second user. Finally, assigning a voting weight to one or more relationships in the database in response to an input from a voting user, and disambiguating two or more relationships based on the voting weight from the voting user.