AskNow – Question Answering

A core part of decision making processes involves the meticulous collection of relevant knowledge. This involves hunting down information about facts and events from the web, as well as querying data from within the organization. At Fraunhofer IAIS we are working at the cutting edge of a rapidly developing research field: the difficulty of making information access intuitive.
 
Question Answering provides an alternative, more intuitive method for collecting knowledge over various sources, and by forgoing query language expertise, organizations can now focus on what matters.

We develop systems capable of answering questions over the knowledge that organizations generate and have accumulated. With its assistance, enterprises can forgo convoluted queries and simply gather information like they would from a human being, in plain natural language. To accomplish this feat, our experts have employed innovative concepts and technologies such as »Linked Data«, »Deep Learning« and »Natural Language Processing«.

As a result, different industries can benefit from using our system, for example, it can be used as a supportive module for customer service in telecommunication companies, or as an integrated part of the in-car systems in the automotive industry, and likewise to countless public sectors portals.

Prof. Jens Lehmann explains the concept of Question Answering, what are the potential applications of this technology, and how we will interact with computers in the future.  

• Hybrid Semantic Parsing
• Deep Learning-based Question Answering
• Knowledge Graphs
• Ontology Modelling