> For the complete documentation index, see [llms.txt](https://docs.onto.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.onto.app/basics/data-management/untitled.md). # What is ONT ID Ontology DID(Also: ONT ID) is a decentralized identification protocol which based on W3C DID specifications.It supports collaborative services such as distributed and diversified ownership confirmation, identification, and authentication of various entities including individuals, legal entities, objects, and contents. ONT ID establishes a cryptographically-based digital identity for each entity, allowing self-sovereign of data authorization and ownership confirmation, which makes the identity and data truly assets that the user can control. ONT ID has the characteristics of decentralization, self-management, privacy protection, security and ease of use. Ontology establishes a decentralized trust model and distributed trust delivery system through ONT ID and verifiable claim, and uses the C-L signature algorithm and zero-knowledge proof protocol to assure privacy protection of verifiable claim. Through ONT ID, Ontology will also incorporate various authentication service agencies, and establish multi-source authentication of the entity’s identity to achieve complete identity portrait. In addition to relying on specific central entities to build trust relationships, entities can also build equally strong trust relationships by themselves. Trust transfer is achieved through mutual authentication between entities. Entities will have higher credibility if they receive more authentications from other entities – especially if those other entities have high credibility. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.onto.app/basics/data-management/untitled.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.