BPMN: A Meta Model for the Happy Path

Recently, the OMG has been working on developing a new standard for a business process management notation (BPMN). This standard development results in documents that contain the newest approved version of a standard or a standard proposal that can be ammended. It is our vision that such a standard document, that also serves as a specification for BPMN modeling tool developers could benefit from a fact-oriented model in which the same domain knowledge is represented conceptually as a list of concept definitions (including naming conventions), a set of information structure diagrams and the constraints or business rules that govern the instances of the information structure diagrams. In this paper we will show precisely, how such a fact-oriented conceptual view on a standard document can be created, and we will show how a fact-oriented approach can improve the completeness of a specification.management information;

Transforming enterprise ontologies into SBVR formalizations

In 2007 the Object Management Group (OMG) adopted the Se- mantics of Business Vocabulary and Business Rules (SBVR) specification. The languages specified by this specification must be used to create business vocab- ularies and business rules of all kinds of business activities of all kinds of or- ganizations. This paper describes and demonstrates how enterprise ontologies can be transformed into SBVR formalizations

A Formal ORM-to -UML Mapping Algorithm

The object-role model (ORM) data structure can be represented in the unified modeling language (UML) using the five fact encoding constructs: class attribute, association, association class, sub-class and the association qualifier. In the existing literature there exist numerous mappings of how individual fact types from an ORM information model can be mapped onto ‘well-formed’ UML expressions. What is lacking in the existing literature is a precise description of the conditions on the ‘source’ object-role model under which a specific UML fact encoding construct can be applied in the ‘target’ UML class diagram. In this paper we will show under what conditions, a specific UML fact encoding construct must be applied in a way that results in a well-formed UML class diagram.computer science applications;

Deriving Conceptual Schema from XML Databases

In this paper, two concepts from different research areas are addressed together, namely functional dependency (FD) and multidimensional association rule (MAR). FD is a class of integrity constraints that have gained fundamental importance in relational database design. MAR is a class of patterns which has been studied rigorously in data mining. We employ MAR to mine the interesting rules from XML Databases. The mined interesting rules are considered as candidate FDs whose all confidence itemsets are 100%. To prune the weak rules, we pay attention to support and correlation itemsets. The final strong rules are used to generate an Object-Role Model conceptual schema diagram

The Concept of Data Model Pattern Based on Fully Communication Oriented Information Modeling (FCO-IM)

Just as in many areas of software engineering, patterns have been used in  data modeling  to  create high quality  data  models.  We  provide  a  concept  of data  model  pattern  based  on  Fully  Communication  Oriented  Information Modeling  (FCO-IM),  a  fact  oriented  data  modeling  method.  A  data  model pattern is  defined  as  the relation  between  context, problem,  an d  solution.  This definition is adopted from the concept of pattern by Christopher Alexander. We define the concept of Information Grammar for Pattern (IG P) in the solution part of  a  pattern,  which  works  as  a  template  to  create  a  data  model.  The  IG P  also shows how a pattern can relate to other patterns. The data model pattern concept is then used to describe 15 data model patterns, organized into 4 categories. A case study on geographical location is provided to show the use of the concept in a real case

Conceptual modeling for the design of intelligent and emergent information systems

A key requirement to today's fast changing economic environment is the ability of organizations to adapt dynamically in an effective and efficient manner. Information and Communication Technologies play a crucially important role in addressing such adaptation requirements. The notion of `intelligent software' has emerged as a means by which enterprises can respond to changes in a reactive manner but also to explore, in a pro-active manner, possibilities for new business models. The development of such software systems demands analysis, design and implementation paradigms that recognize the need for ‘co-development’ of these systems with enterprise goals, processes and capabilities. The work presented in this paper is motivated by this need and to this end it proposes a paradigm that recognizes co-development as a knowledge-based activity. The proposed solution is based on a multi-perspective modeling approach that involves (i) modeling key aspects of the enterprise, (ii) reasoning about design choices and (iii) supporting strategic decision-making through simulations. The utility of the approach is demonstrated though a case study in the field of marketing for a start-up company