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Interactive Business Rules Framework for Knowledge Based Service Oriented Architecture Debasis Chanda Associate Professor, IIM Shillong Shillong 793014 cdebasis04@yahoo.co.in Dwijesh Dutta Majumder Professor Emeritus, Indian Statistical Institute 203 BT Road, Kolkata 700035 ddmdr@hotmail.com Swapan Bhattacharya Professor & Head, Department of Computer Science & Engineering Jadavpur University Kolkata 700032 bswapan2000@yahoo.co.in Abstract - In our paper we propose a SOA Framework based on Knowledge Bases, where Business Rules can be defined using Production Rule based Expert System. The same expert system would be instrumental for achieving user authorization functions. In our paper we consider an example scenario from the Banking domain for carrying out our discussions. Keywords - Knowledge Base, Predicate Calculus, Service Oriented Architecture, Rule Based Expert System, IVRS I.INTRODUCTION The goal of this paper is to present an Interactive Business Rules Framework for Knowledge based Service Oriented Architecture, which uses Rules Based Expert System. With the provision of IVRS (Interactive Voice Response System), the proposed system will be of great help for visibility impaired people, since the system provides a s imple step-by-step interactive user friendly process. The rest of this paper is organized as follows: In Section II we furnish literature review of articles published in the relevant areas. In Section III, we introduce our modeling framework and an example scenario to facilitate understanding. In Sections IV we furnish benefits our proposed Framework. Finally, Section V provides some conclusions. II.RELATED WORK The Paper by Chanda et al. [1] pr oposes a S OA (Service Oriented Architecture) Framework based on Knowledge Bases, which serves the purpose of fullfledged modeling of both normal structural knowledge and dynamic behavior of the individual organizations participating in M&A/JV, as well as the consolidated organization. This paper is a continuation of the same. The paper by El-Gayar et al. [2] reviews related work on service-oriented architecture (SOA), distributed infrastructure and business process management (BPM). In our Paper we focus on business rules in the Banking domain. This is relevant from the BPM context. The paper by Fang et al. [3] suggests a framework for designing agile and interoperable Enterprises. Our Paper proposes a f ramework/architecture for business rules that may be adopted on enterprise-wide basis. With the aim of facilitating the development of service oriented solutions, Marcos Lopez-Sanz et al [4] propose the specification of an architecture centric model driven development method. Our Paper adopts a K nowledge Based & Business Rule based approach for arriving at a service oriented model. Service-based software architectures benefit in particular from semantic, ontology-based modeling. Claus Pahl’s paper [5] presents ontology-based transformation and reasoning techniques for layered semantic service architecture modeling. Our paper provides model for configuring business rules. Arroyo et al. [6] describe the practical application of a semantic web service-based choreography framework. We propose a business rules framework which is very much essential for choreography. David Chen et al. [7] define and clarify basic concepts of enterprise architectures. We adopt an Expert System based Business Rules framework / ar chitecture for services, which can be adopted on organization-wide basis. The book by Luger [8] captures the essence of a rtificial intelligence. We apply artificial intelligence concepts for developing knowledge bases and business rules towards modeling business processes in our work. 315
III.BUSINESS RULES FRAMEWORK FOR KNOWLEDGE BASED SERVICE ORIENTED ARCHITECTURE A. PROPOSED APPROACH Our Paper proposes an Expert System based Business Rules Framework for Knowledge based Service Oriented Architecture to realize services and business processes (composition of services realized through their orchestration). For our purpose, the representative domain of discourse considered is the deposit function of two banks (viz. Bank1 & Bank2). The realization of Business Rules Framework is based on Expert Systems [8]. Then Rule 4 If Then Customer belongs to both Bank1 & Bank2 PhoneNo matches with PhoneNo in Bank1 Knowledge Base, and Address matches with Address in Bank1 Knowledge Base Address Information matches with Address Information in Bank1 Knowledge Base. The graphical representation of the problem is furnished in Fig 1. B. PREDICATE CALCULUS KNOWLEDGE BASE For our purpose, the representative domain of discourse considered is the deposit function of two banks, for which the knowledge can be represented as a s et of Predicate Calculus expressions. C. PROPOSED MULTIPURPOSE SERVICE The realization of the Multi-purpose service is achieved through a Production Rule based Expert System. As an example of goal-driven problem with user queries, we consider an example of a simple expert system. Let us consider the following four rules: Rule 1 If Then Rule 2 If Then Rule 3 If Name matches with Name in Bank1 Knowledge Base, and Address Information matches with Address Information in Bank1 Knowledge Base Customer belongs to Bank1 Name matches with Name in Bank2 Knowledge Base, and Address Information matches with Address Information in Bank2 Knowledge Base Customer belongs to Bank2 Name matches with Name in Bank1 & Bank2 Knowledge Bases, and Address Information matches with Address Information in Bank1 & Bank2 Knowledge Bases To run this Knowledge Base under a goal-directed control regime, the top-level goal, ‘The Problem is X’ is placed in working memory as shown in Fig 2. X is a variable that can match with any phrase, e.g. ‘The customer belongs to both Bank1 and Bank2’; it will become bound to the solution when the problem is solved. 316
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SEKE San Francisco Bay July 1-3 201
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Copyright © 2012 by Knowledge Syst
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The 24 th International Conference
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Zhenyu Chen, Nanjing University, Ch
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Riccardo Martoglia, University of M
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Poster/Demo Sessions Co-Chairs Fars
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Evaluating the Cost-Effectiveness o
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Program Understanding Evaluating Op
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Computer Forensics: Toward the Cons
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Modeling Bridging KDM and ASTM for
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A Mapping Study on Software Product
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A proposal for the improvement of t
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Panel on Future Trends of Software
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test, we did not find any significa
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Data Set TABLE II. DATA SETS Artifa
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Take basic requirements from user a
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sent Semantic Web Ontologies. It co
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DETECTING EMERGENT BEHAVIOR IN DIST
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Definition 2: For a set of MSCs M,
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Stability of Filter-Based Feature S
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Cloud Application Resource Mapping
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Progressive Clustering with Learned
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Multi-Objective Optimization of Fuz
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Choosing licenses in free open sour
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Evolutionary Learning and Fuzzy Log
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In addition to the rules, the knowl
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the ontology hierarchy; learning a
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eventually triggers a co mmon task.
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access control exists, the action i
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ICrudSchema and shown in Figure 3.
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Connectors for Secure Software Arch
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Non-repudiation security service pr
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anAsynchronousCustomer InterfaceCon
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How Social Network APIs Have Ended
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OSN Social Feed Unique Features Con
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users can control the reach of thei
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Computer Forensics: Toward the Cons
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In 2009, Cohen et al. in [4] have o
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I2Sim simulation model was transfor
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we dealt w ith the verticals rules.
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different from replacing it, we dec
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Using FCA-based Change Impact Analy
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which the airport data did not cont
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classified. Recall is the probabili
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A New Approach to Evaluate Path Fea
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k v ( df i ) 0 , it means that the
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A Tiny Specification Metalanguage W
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derivation dependencies. The third
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model extension as proposed in [6].
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Figure 1. The process for engineeri
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way to detect something which could
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Algorithm 1: Algorithm to recursive
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obtain the input of experts on desi
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A. Pattern Reuse In patterns reuse
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These latter would be clustered acc
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DC2AP Element and their Application
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Legacy2Cloud logic. In this scope,
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Adaptive software should basically
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Figure 1, a metamodel defines an XM
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Figure 3 is a feature diagram that
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ecause the system of C-net model is
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Pub-T Tc Tc Sub-T Sub-T Figu
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Visual Studio Achievements, a Visua
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the project. This achievement has t
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proposed in this work requires the
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FTS is an important research area,
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C. Dependent Variables and Measures
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D. Conclusion Validity Conclusion v
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evaluation of team productivity, qu
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complexity issues traditionally inv
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ize:Class”, with an empty precond
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Investigating the use of Bayesian n
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process for the network. Thus, this
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Specification of Safety Critical Sy
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current belief of agents in order t
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Using the Results from a Systematic
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obtained from the categorization of
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that automatically presents the usa
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Improving a Web Usability Inspectio
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Identification Guidelines for the D
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created according to the preview re
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In our analysis, the “Government
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USE SCENARIO The application Vuelos
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[8] Mayhew, D., “The Usability En
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comparison rule, a value of 1/9 is
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for knowledge sharing. Based on str
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y applying hash functions to its su
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Empirical Validation of Variability
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III. EXPERIMENTAL STUDY In this sec
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A Mapping Study on Software Product
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most relevant sources in software e
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and future works. II. BACKGROUND ON
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System Advanced Standard Module A M
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outcomes from such research fields,
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TABLE IV. CONTINUED FROM PREVIOUS P
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contribution of each study was made
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assets, the plugin approach can be
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contributions from the several acto
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o Guideline 6.4: Softgoal dependenc
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descriptions must also b e configur
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II. THE PROPOSED TAXONOMY The taxon
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sub-dimension is categorized as, co
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A Proposal of Reference Architectur
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A Variability Management Method for
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means patterns which are shown in s
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Tool Support for Anomaly Detection
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Once the datasets were evaluated us
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Reconfiguration of Robot Applicatio
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data dependencies required for keep
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Spacemaker: Practical Formal Synthe
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machine may be empty which should l
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software, based on revised requirem
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A Process-Based Approach to Improvi
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Appropriate processes m ust support
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Automatic Acquisition of isA Relati
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The table title and the dimension s
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A light weight alternative for OLAP
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i.d. subsets of cubes focused on se
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Match production rules Enterprise S
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A Tool for Visualization of a Knowl
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other ontology visualization tools
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shown at Figure 5. Objectives are s
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Rendering UML Activity Diagrams as
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a = O1 → a → O2 b = O2 → b
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ecordProblem → A → reproducePro
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umlTUowl - A Both Generic and Vendo
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Elem. UML Example D 12 Harmonizing
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her necessities. However, the progr
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two stages. The first stage is focu
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Proactive Two Way Mobile Advertisem
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information. If more than one adver
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Users can al so publish adv ertisem
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The COIN Platform: Supporting the M
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A-3
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Checking Contracts for AOP using XP
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Maicon B. da Silveira, 112 Aldo Dag
Page 811 and 812:
Seyedehmehrnaz Mireslami, 70 Takao
Page 813 and 814:
Wei Zhang, 422 Wenbo Zhang, 188 Zhi
Page 815 and 816:
Desmond Greer Eric Gregoire Christi
Page 817 and 818:
Poster/Demo Presenter’s Index A A
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SEKE 2012 Proceedings - Knowledge Systems Institute

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