Automated Business Rules Harvesting using Semantic Technology.

Muhammad Ifrahim Yasir; Taimoor Hassan; Imran Sarwar Bajwa

Author(s)

Muhammad Ifrahim Yasir Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

Taimoor Hassan Department of Computer Science, National College of Business Administration & Economics, Lahore, Pakistan

Imran Sarwar Bajwa Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

Abstract

We aim to present an approach that can be used for the automated identification and extraction of the business rules with the help of using semantic technology. In typical BRMS, keyword based search is used to extract required business rules from rule base. However, we aim to incorporate semantic based search for retrieving business rules according to the contextual meaning and identify context of search, location, variation of words, and synonyms. In business rules, it is defined that the constraints and rules control the behavior of the business for achieving the goal of any organization. One can apply business rules in the form of constraints, definition and operations. All the strategies and directions tell the business rules that what organization should do and how to focus on a particular business activity. In Business Management controlled all the work like saving, defining, updating, retrieving, and deleting the rules. No support available still that give us accuracy of matching of word, location, intent, variation of words, synonyms, concept matching to provide relevant search result. Limitations of simple search have some issues when result is published after a query. Most popular techniques are called stemming but it has some draw backs because it focuses on the root word not the meaning. In semantic based search, a search is improved by improving accuracy by searching according to the contextual meaning.

Publication Details

Page(s) 1-5

DOI DOI not available

Published Journal: Journal of Applied and Emerging Sciences , Volume: 6, Issue: 1, Year: 2016

Request the full text from PASTIC

References

Gang X. (2009). Business rule extraction from legacy system using dependence-cache slicing. In Information Science and Engineering (ICISE).1st International Conference on IEEE. 4214-4218

Cosentino V, Cabot J, Albert P, Bauquel P and Perronnet J. (2013). Extracting business rules from cobol: A model-based framework. InReverse Engineering (WCRE). 20th Working Conference on IEEE. 409-416.

Van Eijndhoven T, Iacob ME and Ponisio ML. (2008). Achieving business process flexibility with business rules. In Enterprise Distributed Object Computing Conference. EDOC'08. 12th International IEEE 95-104.

Boussadi A, Bousquet C, Sabatie B, Caruba T, Durieux P and Degoulet P. (2011). A business rules design framework for a pharmaceutical validation and alert system. Methods of information in medicine. 50(1): 36.

Balsters H and Halpin T. (2008). Formal semantics of dynamic rules in ORM. In On the Move to Meaningful Internet Systems: OTM Workshops. Springer Berlin Heidelberg. 699- 708

Malik S and Bajwa IS. (2012a). A rule based approach for business rule generation from business process models. In Rules on the Web: Research and Applications 92-99. Springer Berlin Heidelberg.

Weikum G and Theobald M. (2010). From information to knowledge: harvesting entities and relationships from web sources. In Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on

Filipowska A, Kaczmarek M, Koschmider A, Stein S, Wecel K and Abramowicz W. (2011). Social software and semantics for business process management-alternative or synergy. Journal of Systems Integration. 2(3):54-69.

Chaudhri AA and Bajwa IS. (2012). Services Based Management of Business Processes using Cloud Computing. European Journal of Scientific Research. 80(3): 303-310

Polpinij J, Ghose A and Dam HK. (2015). Mining business rules from business process model repositories. Business Process Management Journal. 21(4):820-836.

Fabrizio S, Storti E and Taglino F. (2014). Towards Semantic Collective Awareness Platforms for Business Innovation. Advanced Information Systems Engineering Workshops. Springer International Publishing. 178: 226-237.

Malik S and Bajwa IS. (2012b). Back to origin: Transformation of business process models to business rules. In Business Process Management Workshops. Springer Berlin Heidelberg. 132:611- 622.