# elinor for Data Teams ### elinor for Data Science **Understanding your domain**: No matter if you want to classify documents, find mentions of entities in texts or disambiguate entity candidates. Explicitly stating hierarchies, concept relations, and synonyms help you understand what you want to model. Encoding your domain knowledge in an ontology creates transparency and clarity. **Making predictions interoperable**: Using explicit data schemas, you can use predictions from your trained model in other contexts and combine them with other datasets. Ontologies are nothing new (not by a long shot), but linked data is having a revival - for a good reason. **Interpretable and smaller models**: By infusing your domain knowledge into text transformer models (e.g., with siamese neural networks), your models can be considerably smaller than full-blown transfer-learned foundational models. Your results will be as accurate or even better - while being easier to interpret. elinor is fully hosted, so you can concentrate on building better models and collaborating with your team. [**Book a demo now**](https://meetings-eu1.hubspot.com/johannes-mueller) to see what elinor can do for your data team! ### **Use Cases** * Linked Open Data with ontologies * Named Entity Recognition * Span Classification * Text Classification * Entity Linking and Entity Disambiguation --- # Agent Instructions: 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: ``` GET https://docs.elinor-app.com/solutions/elinor-for-data-teams.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.