Natural Language Specification and Violation Reporting of Business Rules over ER-modeled Databases
2015 (English)In: Advances in Database Technology - EDBT 2015, 18th International Conference on Extending Database Technology, Brussels, Belgium, March 23-27, Proceedings, Open Proceedings.org , 2015, 541-544 p.Conference paper (Refereed)
This paper presents our work on adapting and extending natural language interface (NLI) to database technology to support the specification and violation reporting of business rules. The resulting system allows non-technical users to author and manage a rulebook in controlled natural language – serving as a single point of definition that can be compiled into SQL to generate violation reports. To achieve this we represent business rules in tuple alculus, handle negation in our query re-writing algorithms and add support for natural language reflexives (e.g. ‘its’, ‘themselves’, etc.). Our results show a large class of business rules can be captured with these extensions. Although our approach is general, we present it applied to compliance checking of regulations over a materiel capability development information system at the Swedish Defence Materiel Administration. At EDBT we will also demonstrate this work over a more generic package delivery domain. While there has been recent effort in pursuing Semantics for Business Vocabulary and Business Rules (SBVR) in the semantic web and description logic communities, to our knowledge ours is the first attempt to provide this capability for ER-modeled relational databases.
Place, publisher, year, edition, pages
Open Proceedings.org , 2015. 541-544 p.
SBVR, Business Rules, NLIs to databases
IdentifiersURN: urn:nbn:se:kth:diva-165382ISBN: 978-3-89318-067-7OAI: oai:DiVA.org:kth-165382DiVA: diva2:808215
Advances in Database Technology - EDBT 2015, March 23-27, 2015 - Brussels, Belgium
QC 201504292015-04-272015-04-272015-04-29Bibliographically approved