• Title, Summary, Keyword: Business Rules

Search Result 463, Processing Time 0.036 seconds

Modeling Dynamic Business Rules using A Dynamic Knowledge Approach

  • Karami, Nasser;Iijima, Junichi
    • Industrial Engineering and Management Systems
    • /
    • v.6 no.1
    • /
    • pp.72-82
    • /
    • 2007
  • Business Rules are formal statements about the data and processes of an enterprise. They present projections of the organization's constraints and ways of working on their supporting information systems. Therefore, their collection, structuring and organization should be central activities within information systems. In an enterprise, business rules are used to represent certain aspects of a business domain (static rules) or business policy (dynamic rules). Hence, regarding problem domains in the organization, business rules are classified into two groups: static and dynamic business rules. The paper introduces a new concept of business rules, Extended Dynamic Business Rule (EDBR) which contains the results of the occurrence of business rule's action. The focus of this paper is in the organizing, defining and modeling of such business rules using Mineau's approach. Mineau's approach is an extension of Sowa's Conceptual Graph theory.

A Novel Approach for Integrating Security in Business Rules Modeling Using Agents and an Encryption Algorithm

  • Houari, Nawal Sad;Taghezout, Noria
    • Journal of Information Processing Systems
    • /
    • v.12 no.4
    • /
    • pp.688-710
    • /
    • 2016
  • Our approach permits to capitalize the expert's knowledge as business rules by using an agent-based platform. The objective of our approach is to allow experts to manage the daily evolutions of business domains without having to use a technician, and to allow them to be implied, and to participate in the development of the application to accomplish the daily tasks of their work. Therefore, the manipulation of an expert's knowledge generates the need for information security and other associated technologies. The notion of cryptography has emerged as a basic concept in business rules modeling. The purpose of this paper is to present a cryptographic algorithm based approach to integrate the security aspect in business rules modeling. We propose integrating an agent-based approach in the framework. This solution utilizes a security agent with domain ontology. This agent applies an encryption/decryption algorithm to allow for the confidentiality, authenticity, and integrity of the most important rules. To increase the security of these rules, we used hybrid cryptography in order to take advantage of symmetric and asymmetric algorithms. We performed some experiments to find the best encryption algorithm, which provides improvement in terms of response time, space memory, and security.

Support of Third Party Logistics Operation based on Business Rules (비즈니스 규칙 기반의 3자 물류 운영 지원)

  • Park, Chulsoon;Bang, Yanghee;Sung, Hongsuk
    • Journal of the Society of Korea Industrial and Systems Engineering
    • /
    • v.40 no.2
    • /
    • pp.137-144
    • /
    • 2017
  • The business process of global third party logistics company is defined as a network of logistics activities which involves the products that are manufactured in the developing countries, such as Vietnam, China and so on, and delivered to North or South American countries via intermediate stopover sites. The third party logistics company usually uses proprietary logistics information system to support the related logistics activities. However, each consignor sometimes may require different business process based on the customer type or characteristics of their products. Therefore, the third party logistics company need to modify their business process to reflect customer's requirements, resulting in the modification of logistic information systems and additional costs. Therefore, a flexible mechanism is required to efficiently support the various types of requirements by the owners of the products. In this paper, first, we figured out various business rules related to third party global logistics activities. Second, we grouped the identified business rules into business processes, objects, relations, dependency, policy, representations, execution, and resources and further into precondition, postcondition, and invariant based on checking point in time. Furthermore, the categorized rules are classified into inter-activity and intra-activity rules based on the execution range. Third, we proposed a rule syntax to describe the defined rules into scripts which are understood by user and information system together. When each activity is executed, the rule manager checks whether there are rules related with the activity execution. Finally, we developed a prototype rule management system to show the feasibility of our proposed methodology and to validate it with an example.

Knowledge-Based AOP Framework for Business Rule Aspects in Business Process

  • Park, Chan-Kyu;Choi, Ho-Jin;Lee, Dan-Hyung;Kang, Sung-Won;Cho, Hyun-Kyu;Sohn, Joo-Chan
    • ETRI Journal
    • /
    • v.29 no.4
    • /
    • pp.477-488
    • /
    • 2007
  • In recent years, numerous studies have identified and explored issues related to web-service-oriented business process specifications, such as business process execution language (BPEL). In particular, business rules are an important cross-cutting concern that should be distinguished from business process instances. In this paper, we present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. This is achieved by using a mechanism of the business rule itself at the business rule engine instead of using existing programming language-based AOP technologies. Through some illustrative examples, this work also introduces a method by which business rule aspects, separated through an external rule engine, can be represented and evaluated. We also demonstrate how they can be dynamically woven and executed by providing an implementation example which uses two open-source-based products, the Mandarax rules engine and Bexee BPEL engine.

  • PDF

An Introductory Study on the Draft Hague Rules on Business and Human Rights Arbitration

  • Ahn, Keon-Hyung;Moon, Hee-Cheol
    • Journal of Arbitration Studies
    • /
    • v.29 no.3
    • /
    • pp.3-22
    • /
    • 2019
  • An issue of human rights abuse in business emerged as a serious social problem recently not only in Korea, but also worldwide. However, the stipulations in 'UNGPs' and 'OECD Guidelines' do not provide a legally binding dispute settlement mechanism. Under these circumstances, it is very well timed that the Working Group on International Arbitration of Business and Human Rights recently published the Draft Hague Rules on Business and Human Rights Arbitration, which will be launched in December 2019 as an effective and efficient alternative to mediation or court litigation. This paper examines the purpose, the structure, and the unique features of the Draft Hague Rules, among other provisions, including 1) Inequality of Arms between the Parties, 2) Appointing Authority, 3) Presiding Arbitrator's Qualification, 4) Evidentiary Procedures, 5) Remedy, and 6) Governing Law.

A Study on the China International Economic and Trade Arbitration Commission(CIETAC) Arbitration Rules (중국국제경제무역중재위원회(CIETAC)의 중재규칙에 관한 연구)

  • Woo, Kwang-Myung
    • Journal of Arbitration Studies
    • /
    • v.16 no.1
    • /
    • pp.121-151
    • /
    • 2006
  • As globalisation extends its effect and particularly following China's accession to the World Trade Organization(WTO) in 2001, ever greater numbers of international transactions will feature a Chinese party. China has certainly made efforts in recent years to rectify law problem. While conducting business in China, foreign companies occasionally find themselves embroiled in disputes with Chinese individuals and companies. As foreign businesses invest in the extraordinary market opportunities in China, international arbitration has also become the preferred method for handling disputes with Chinese partners or with other foreign corporation over operations in China. The new Arbitration Rules of the International Economic and Trade Arbitration Commission(CIETAC) came into force on 1 May 2005. The new rules represent a major overhaul of CIETAC arbitration procedures and are sure to enhance CIETAC's position as a leading player in the resolution of China-foreign business disputes. The changes are significant for all companies doing business in China. So, this article investigated some amendments on the basis of 2000 Rules.

  • PDF

Rules Authoring Tool and Template Definition of Business Rules (비즈니스 룰의 룰 이용 저작도구와 템플릿 정의)

  • Cho, Kyung-Jin;Ra, Young-Gook;Woo, Wonseok
    • The Journal of The Institute of Internet, Broadcasting and Communication
    • /
    • v.14 no.1
    • /
    • pp.237-243
    • /
    • 2014
  • In this paper, we have proposed a system for creating business rules efficient in the market the SI industry. It has implemented a system that will have to be able to than to create a rule using the PPT and word simply, to proceed more smoothly communication of civil service staff and between developers. The system used in this paper, it was an object of the invention is to present a template, so as to create a document to match this template. The presented combined input tools to present a template for creating a document themes business rules to allow explicitly enter text in response to the template user.

A Method of Mining Visualization Rules from Open Online Text for Situation Aware Business Chart Recommendation (상황인식형 비즈니스 차트 추천기 개발을 위한 개방형 온라인 텍스트로부터의 시각화 규칙 추출 방법 연구)

  • Zhang, Qingxuan;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
    • /
    • v.25 no.1
    • /
    • pp.83-107
    • /
    • 2020
  • Selecting business charts based on the nature of the data and the purpose of the visualization is useful in business analysis. However, current visualization tools lack the ability to help choose the right business chart for the context. Also, soliciting expert help about visualization methods for every analysis is inefficient. Therefore, the purpose of this study is to propose an accessible method to improve business chart productivity by creating rules for selecting business charts from online published documents. To this end, Korean, English, and Chinese unstructured data describing business charts were collected from the Internet, and the relationships between the contexts and the business charts were calculated using TF-IDF. We also used a Galois lattice to create rules for business chart selection. In order to evaluate the adequacy of the rules generated by the proposed method, experiments were conducted on experimental and control groups. The results confirmed that meaningful rules were extracted by the proposed method. To the best of our knowledge, this is the first study to recommend customizing business charts through open unstructured data analysis and to propose a method that enables efficient selection of business charts for office workers without expert assistance. This method should be useful for staff training by recommending business charts based on the document that he/she is working on.

The method of using database technology to process rules of Rule-Based System

  • Zheng, Baowei;Yeo, Jeong-Mo
    • Journal of information and communication convergence engineering
    • /
    • v.8 no.1
    • /
    • pp.89-94
    • /
    • 2010
  • The most important of rule-base system is the knowledge base that determines the power of rule-base system. The important form of this knowledge is how to descript kinds of rules. The Rule-Base System (RBS) has been using in many field that need reflect quickly change of business rules in management system. As far, when develop the Rule-Based System, we must make a rule engine with a general language. There are three disadvantage of in this developed method. First, while there are many data that must be processed in the system, the speed of processing data will become very slow so that we cannot accept it. Second, we cannot change the current system to make it adaptive to changes of business rules as quickly as possible. Third, large data make the rule engine become very complex. Therefore, in this paper, we propose the two important methods of raising efficiency of Rule-Base System. The first method refers to using the Relational database technology to process the rules of the Rule-Base System, the second method refers to a algorithm of according to Quine McCluskey formula compress the rows of rule table. Because the expressive languages of rule are still remaining many problems, we will introduce a new expressive language, which is Rule-Base Data Model short as RBDM in this paper.

The Rule Case Simplification Algorithm to be used in a Rule-Based System (규칙기반 시스템에 사용되는 규칙 간소화 알고리즘)

  • Zheng, Baowei;Yeo, Jeong-Mo
    • The KIPS Transactions:PartD
    • /
    • v.17D no.6
    • /
    • pp.405-414
    • /
    • 2010
  • A rule is defined as a case to determine the target values according to combination of various Business factors. The information system is used to represent enterprise's business, which includes and implements the amount of these rules to Rule-Based System. A Rule-Based System can be constructed by using the rules engine method or Relational Database technology. Because the rules engine method has some disadvantages, the Rule-Based System is mostly developed with Relational Database technology. When business scales become larger and more complex, a large number of various rule cases must be operated in system, and processing these rule cases requires additional time, overhead and storage space, and the speed of execution slows down. To solve these problems, we propose a simplification algorithm that converts a large amount of rule cases to simplification rule cases with same effects. The proposed algorithm is applied to hypothetical business rule data and a large number of simplification experiments and tests are conducted. The final results proved that the number of rows can be reduced to some extent. The proposed algorithm can be used to simplify business rule data for improving performance of the Rule-Based System implemented with the Relational Database.