A Controlled Natural Language for Business Intelligence Monitoring

With ever increasing information available in social networks, the number of businesses attempting to exploit it is on the rise, particularly by keeping track of their customers’ posts and likes on social media sites like Facebook. Whilst APIs can be used to automate the tracking process, writing scripts to extract information and process it requires considerable technical skill and is thus not an option for non technical business analysts. On the other hand, off-the-shelf business intelligence solutions do not provide the desired flexibility for the specific needs of particular businesses. In this paper, we present a controlled natural language enabling non-technical users to express their queries in a language they can easily understand but which can be directly compiled into executable code.

• Type: Journal
• Year: 2015
• Where: NLDB
• Authors: Christian Colombo, Jean-Paul Grech, Gordon J. Pace
• Keywords: Natural Language Processing, NLDB 2015