Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/24621
Title: A controlled natural language for business intelligence monitoring
Authors: Colombo, Christian
Grech, Jean Paul
Pace, Gordon J.
Keywords: Business intelligence -- Computer programs
Business intelligence -- Data processing
Domain-specific programming languages
Issue Date: 2015
Publisher: Springer, Cham
Citation: Colombo, C., Grech, J. P., & Pace, G. J. (2015). A controlled natural language for business intelligence monitoring. 20th International Conference on Application of Natural Language to Information Systems, Passau. 1-7.
Abstract: 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.
URI: https://www.um.edu.mt/library/oar//handle/123456789/24621
Appears in Collections:Scholarly Works - FacICTCS

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