Semantic search

Semantic agents (SAGE) act as a centralized brain that hands off queries to different search engines and activates relevant applications around the system (including OCR and ASR). SAGE allow a single query to be sent to multiple search engines and aggregates the search results returned from the federated search engines to show one unified query result to the user. User credentials are passed along with the query so that each federation endpoint can authenticate the user against its own. SAGE figure out what the query is asking and what repository the information resides and enables real-time information to be returned from many information sources in milliseconds.

SAGE enable companies to create a single view of all their enterprise data and ensure that users and applications can exchange and update business-critical data no matter where it resides. It provides the functionality an organization needs to manage and secure his documents and digital content, supporting users in all stages of the document lifecycle. Role based security protects and secures corporate documents and digital content for safe revision and distribution to internal and external users.

Semantic search lead to better decision-making. Users who aren't database experts have instant access to vital business information in their databases. Anyone who is accustomed to search- engines and can type questions in plain English can create complex queries right away. SAGE handles very easily questions that might puzzle even the most experienced programmers and SQL experts. Semantic search is much faster than conservative SQL, the native Access language. SAGE automatically indexes table names and field descriptions and understand the database design and structure, table’s links and relationships and conditional operations.