QAnswer's Text2Sparql provides a streamlined way to interact with SPARQL endpoints. Users can submit queries expressed in natural language, which are then automatically converted into equivalent SPARQL expressions, facilitating efficient data retrieval from linked data repositories.
Text2Sparql leverages natural language processing to interpret user requests and construct accurate SPARQL queries. By discerning the intended meaning behind the input, the system targets relevant entities, relationships, and properties within the linked data graph, resulting in precise data extraction.
Our solution can be deployed on-premise, in the cloud, or in a hybrid configuration, depending on your needs. It offers strong data security, GDPR compliance, and multilingual support, evolving over time to deliver better and more precise answers
QAnswer can connect to a variety of platforms, including SharePoint, Google Drive, Microsoft OneNote, Website, and others. It works with your existing infrastructure to pull data from these sources, and deliver precise, context-aware responses based on your existing data.