Intelligent machines which read, understand, share and reason on text content.
•Auto-recognition of entities (persons, functions, brands, products...)
• Auto-recognition of topics and concepts
• Auto-recognition of sentiment and messages
• Auto-extraction of custom information, data and meaning
So…given a question you may have, semantic technologies can search for all people relevant to specific topics in relationship with a specific industrial sector for instance.
Entities and Concepts are mapped in relationships and hence provide insights from huge number of sources from different channels such as News, Social Media, Customer Feedback, Reports, Mails...
This additional layer of perception also enables you to bridge, interconnect and match data, content, people and processes.
From the user perspective, you access relevant data information in a far more targeted way than Google-type boolean search engine.