Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.

Object-Aware Business Processes: Fundamental Requirements and their Support in Existing Approaches

Abstract: Despite the increasing maturity of process management technology not all business processes are adequately supported by it. Support for unstructured and knowledge-intensive processes is missing, especially since they cannot be straight-jacketed into predefined activities. A common characteristic of these processes is the role of business objects and data as drivers for process modeling and enactment. This paper elicits fundamental requirements for effectively supporting such object-aware processes; i.e., their modeling, execution, and monitoring. Imperative, declarative, and data-driven process support approaches are evaluated and how well they support object-aware processes are investigated. A tight integration of process and data as major steps towards further maturation of process management technology is considered.

Conceptual modeling - ER 2005 : 24th International Conference on Conceptual Modeling, Klagenfurt, Austria, October 24-28, 2005 : proceedings

Abstract: Specific Approaches.- Conceptual Modeling of Structure and Behavior with UML - The Top Level Object-Oriented Framework (TLOOF) Approach.- How to Manage Uniformly Software Architecture at Different Abstraction Levels.- Schema Integration Based on Uncertain Semantic Mappings.- Process Modeling and Views.- Combining Intention-Oriented and State-Based Process Modeling.- Pattern-Based Analysis of the Control-Flow Perspective of UML Activity Diagrams.- A Three-Layered XML View Model: A Practical Approach.- Conceptual Modeling in eLearning.- Modeling Group-Based Education.- Learning Process Models as Mediators Between Didactical Practice and Web Support.- Managing Models and Modeling.- A Fundamental View on the Process of Conceptual Modeling.- How to Tame a Very Large ER Diagram (Using Link Analysis and Force-Directed Drawing Algorithms).- A Multilevel Dictionary for Model Management.- A MOF-Compliant Approach to Software Quality Modeling.- Requirements and Software Engineering.- Conceptual Modeling Based on Transformation Linguistic Patterns.- Applying Modular Method Engineering to Validate and Extend the RESCUE Requirements Process.- Security Patterns Meet Agent Oriented Software Engineering: A Complementary Solution for Developing Secure Information Systems.- Ontologies.- Kuaba Ontology: Design Rationale Representation and Reuse in Model-Based Designs.- Ontology Creation: Extraction of Domain Knowledge from Web Documents.- Choosing Appropriate Method Guidelines for Web-Ontology Building.- Web Services and Navigational Models.- Conceptual Model Based Semantic Web Services.- Automatically Grounding Semantically-Enriched Conceptual Models to Concrete Web Services.- Transforming Web Requirements into Navigational Models: AN MDA Based Approach.- Aspects of Workflow Modeling.- Accelerating Workflows with Fixed Date Constraints.- Workflow Data Patterns: Identification, Representation and Tool Support.- Actor-Oriented Design of Scientific Workflows.- Blueprints and Measures for ETL Workflows.- Queries and OLAP Summaries.- Vague Sets or Intuitionistic Fuzzy Sets for Handling Vague Data: Which One Is Better?.- A Semantic Approach to Query Rewriting for Integrated XML Data.- A Taxonomy of Inaccurate Summaries and Their Management in OLAP Systems.- Temporal and Spatial Modeling.- XCM: Conceptual Modeling for Dynamic Domains.- Precise Modeling and Verification of Topological Integrity Constraints in Spatial Databases: From an Expressive Power Study to Code Generation Principles.- Topological Relationships Between Complex Lines and Complex Regions.

Knowledge-based process management—an approach to handling adaptive workflow

Abstract: In recent years, many organisations have found enterprise modelling, especially business process modelling, to be an effective tool for managing organisational change. The application of business processing modelling has brought benefits to many organisations, but the models developed tend to be used for reference during business operations and re-engineering activities; they rarely play an active role in supporting the day-to-day execution of the processes. While workflow management systems are widely used for the streamlined management of 'administrative' business processes, current systems are unable to cope with the more dynamic situations encountered in ad hoc and collaborative processes [1]. A system that supports complex and dynamically changing processes is required. There is increasing interest in making workflow systems more adaptive and and using knowledge-based techniques to provide more flexible process management support than is possible using current workflow systems and. This paper describes the results of a collaborative project between Loughborough University and the University of Edinburgh. ICI and Unilever were industrial partners on the project, providing real business requirements in the application domain. The project investigated the use of ontologies, agents and knowledge based planning techniques to provide support for adaptive workflow or flexible workflow management, especially in the area of new product development within the chemical industries.