An integration architecture for Knowledge management systems and business process management systems 指導教授 : 歐陽超 教授 學 生 : 林冠伯 施宏奇 吳秀莉 王邦怡.

Slides:



Advertisements
Similar presentations
Building a Knowledge Management System as a Life Cycle
Advertisements

AIM Operational Concept
Database Planning, Design, and Administration
BUSINESS PLUG-IN B2 Business Process.
MODUL 1 Analisis & Informasi Proses Bisnis (CSA221)
Slide 1 INTRODUCTION Chapter 1. Slide 2 Key Ideas The primarily goal of a system is to create value for the organization. Many failed systems were abandoned.
Key-word Driven Automation Framework Shiva Kumar Soumya Dalvi May 25, 2007.
ITIL: Service Transition
Presented by: Thabet Kacem Spring Outline Contributions Introduction Proposed Approach Related Work Reconception of ADLs XTEAM Tool Chain Discussion.
Sixth Hour Lecture 10:30 – 11:20 am, September 9 Framework for a Software Management Process – Artifacts of the Process (Part II, Chapter 6 of Royce’ book)
ROI When Web Content Management Meets Knowledge Management
MIS 385/MBA 664 Systems Implementation with DBMS/ Database Management Dave Salisbury ( )
IS6112 Application Modelling and Design Introduction.
Copyright 2002 Prentice-Hall, Inc. Chapter 4 Automated Tools for Systems Development 4.1 Modern Systems Analysis and Design Third Edition Jeffrey A. Hoffer.
Copyright 2002 Prentice-Hall, Inc. Chapter 1 The Systems Development Environment 1.1 Modern Systems Analysis and Design Third Edition Jeffrey A. Hoffer.
APPLICATION DEVELOPMENT BY SYED ADNAN ALI.
Lecture Nine Database Planning, Design, and Administration
The database development process
David Harrison Senior Consultant, Popkin Software 22 April 2004
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Business Plug-In B2 Business Process.
CSC 351 FUNDAMENTALS OF DATABASE SYSTEMS
Chapter 14 Business Process Management Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin.
Company LOGO Business Process Monitoring and Alignment An Approach Based on the User Requirements Notation and Business Intelligence Tools Pengfei Chen.
Enterprise Architecture
Process-oriented System Automation Executable Process Modeling & Process Automation.
What is Business Analysis Planning & Monitoring?
MDC Open Information Model West Virginia University CS486 Presentation Feb 18, 2000 Lijian Liu (OIM:
Developing Enterprise Architecture
Chapter 1 Database Systems. Good decisions require good information derived from raw facts Data is managed most efficiently when stored in a database.
More on Data Mining KDnuggets Datanami ACM SIGKDD
A Methodology that is PROVEN PRACTICAL EFFECTIVELY INTEGRATED SCALABLE CUSTOMIZABLE.
第三組 Produce a report on 1.SAP NetWeaver 2.SAP Web Application Server 3. SAP Solution Manager ~ Team member ~ 何承恩 謝岳霖 徐翊翔 陳鼎昇.
Database System Development Lifecycle © Pearson Education Limited 1995, 2005.
Overview of the Database Development Process
Copyright 2002 Prentice-Hall, Inc. Chapter 1 The Systems Development Environment 1.1 Modern Systems Analysis and Design.
SITools Enhanced Use of Laboratory Services and Data Romain Conseil
CS 360 Lecture 3.  The software process is a structured set of activities required to develop a software system.  Fundamental Assumption:  Good software.
Introduction to Software Engineering
 To explain the importance of software configuration management (CM)  To describe key CM activities namely CM planning, change management, version management.
An Integration Framework for Sensor Networks and Data Stream Management Systems.
1 Minggu 9, Pertemuan 17 Database Planning, Design, and Administration Matakuliah: T0206-Sistem Basisdata Tahun: 2005 Versi: 1.0/0.0.
Delivering business value through Context Driven Content Management Karsten Fogh Ho-Lanng, CTO.
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
Database Planning, Design, and Administration Transparencies
Event-Based Hybrid Consistency Framework (EBHCF) for Distributed Annotation Records Ahmet Fatih Mustacoglu Advisor: Prof. Geoffrey.
Introduction to Systems Analysis and Design
Information Systems Engineering. Lecture Outline Information Systems Architecture Information System Architecture components Information Engineering Phases.
Service - Oriented Middleware for Distributed Data Mining on the Grid ,劉妘鑏 Antonio C., Domenico T., and Paolo T. Journal of Parallel and Distributed.
AL-MAAREFA COLLEGE FOR SCIENCE AND TECHNOLOGY INFO 232: DATABASE SYSTEMS CHAPTER 1 DATABASE SYSTEMS Instructor Ms. Arwa Binsaleh.
Chapter 4 Automated Tools for Systems Development Modern Systems Analysis and Design Third Edition 4.1.
ANALYSIS PHASE OF BUSINESS SYSTEM DEVELOPMENT METHODOLOGY.
Software Development Process CS 360 Lecture 3. Software Process The software process is a structured set of activities required to develop a software.
1 KM in eBusiness & CRM: South African case study findings 指導教授:歐陽超 組員: M 鄭瓊華 M 王怡文 M 徐巧蓉 M 張皋維.
Chapter 9 Database Planning, Design, and Administration Transparencies © Pearson Education Limited 1995, 2005.
Development of Concepts for R&D Management R&D in an Individual Enterprise.
ROMA 23 GIUGNO 2016 MODERNISATION LAB - FOCUSSING ON MODERNISATION STRATEGIES IN EUROPE: SOME NSIS’ EXPERIENCES Insert the presentation title Modernisation.
ITIL: Service Transition
ARIS Extension Pack TOGAF April 2016
Chapter 1 The Systems Development Environment
TECHNOLOGY PLUG-IN T12 BUSINESS PROCESS.
Self Healing and Dynamic Construction Framework:
AIM Operational Concept
The 2007 Winter Conference on Business Intelligence
Chapter 1 The Systems Development Environment
X-DIS/XBRL Pilot Project - Phase 1 Testing Results
Chapter 1 The Systems Development Environment
Database Systems: Design, Implementation, and Management Tenth Edition
Presentation transcript:

An integration architecture for Knowledge management systems and business process management systems 指導教授 : 歐陽超 教授 學 生 : 林冠伯 施宏奇 吳秀莉 王邦怡

Contents 1)Introduction 2)Related work 3)Business process management lifecycle & knowledge management lifecycle 4)Definition of process knowledge 5)Process-oriented knowledge management 6)Integrated framework for process and knowledge management 7)Integrated system architecture 8)Prototype system 9)conclusion 2

1.Introduction(1) This paper proposes an architecture to integrate knowledge management systems (KMSs) and business process management systems (BPMSs) to combine the advantages of the two paradigms. 3

1.Introduction(2) Knowledge is used by performers of business processes and new knowledge is created as results of business processes. Business processes are an excellent delivery medium of knowledge as well as an arena for the creation of knowledge. Information about a process itself and process execution results is valuable corporate knowledge. 4

1.Introduction(3) The paper classifies process knowledge into three types: process template knowledge ‚ process instance knowledge ƒprocess-related knowledge 5

2.Related work(1) The goal of IPM is to integrate processes and to provide lifecycle support for process modeling and integration, process analysis and optimization, process automation and control, process-oriented integration, and process knowledge management. The concept of BPMS proposed by BPMI. It is to integrate systems, automate routine activities, manage all phases of processes, deploy process seamlessly, and provide end-to- end visibility and control. 6

2. Related work(2) Various studies were carried out in order to integrate KM and BPM:  The Delphi group  Remus  KnowMore project  MILOS project  MOKA project  EDEN tool 7

2.Related work(3) The advantage of process-oriented knowledge management is that it can help users avoid information overload and concentrate on important information which is essential for company value chains. It can also improve the usability of knowledge in company and the efficiency of implementing knowledge management system. 8

3.Business process management lifecycle & knowledge management lifecycle(1) The BPM lifecycle of IPM consists of six phases: creation, modeling, pre analysis, enactment, post analysis, and evolution. In the pre analysis phase, the process template can be optimized by applying various process analysis techniques including structural analysis techniques such as PERT/CPM and simulation techniques such as Petri-net. Nissen’s KM lifecycle [27] consists of sixphases: create, formalize, organize, distribute, use,andevolve. 9

3.Business process management lifecycle & knowledge management lifecycle(2) 10

4. Definition of process knowledge(1) The three types of process knowledge : –Process template knowledge The process template plus analysis and simulation information derived from the template design phase. –Process instance knowledge A set of process instance information along with process performance measure according to evaluation criteria of a given enterprise. –Process-related knowledge A knowledge set created and used within a business process. 11

4.1 Process template knowledge process template knowledge contains process structure, pre analysis results, simulation results, and a template evolution history. From the BPM lifecycle perspective, the information gathered during process creation, modeling, pre analysis, and evolution is converted into process template knowledge. 12

4.2 Process instance knowledge Process instance knowledge is composed of information gathered during and after the process enactment phase. The information produced during the process enactment phase such as context information, outputs, and a way to work is converted into process instance knowledge. Process template knowledge is created by process designers and/or analysts, and process related knowledge is created by activity performers. 13

4.3 Process-related knowledge Process-related knowledge means the type of knowledge which can be used by activity performers when a business process is actually executed. Process-related knowledge includes books, documents, experts, help files, manuals, applications, laws and regulations, etc. The concept of process-related knowledge will also enable enterprises to filter valuable knowledge and to avoid information overload. 14

5. Process-oriented Knowledge Management(1) 15

6. Integrated framework for process and knowledge management(1) 16

6. Integrated framework for process and knowledge management(2) 17

6. Integrated framework for process and knowledge management(3) 18

7. Integrated system architecture(1) 19

7.1 Process creation, modeling, and pre analysis(2) 20

7.2 Process enactment(3) 21

7.3 Post analysis and evolution(4) 22

7.3 Post analysis and evolution(5) These tools support evolution of existing knowledge base on  Updated process execution result  Newly added information Several AI techniques are applied:  Outlier detection  discover exceptions  Process mining techniques  evaluate performance and process model 23

7.4 Knowledge repository and common functionalities(6) 24

7.4 Knowledge repository and common functionalities(7) 25

In the prototype, three components are added into Process W are.  Tacit knowledge description tool  Knowledge delivery tool  Process knowledge tracking tool 8. Prototype System(1) 26

8. Prototype System(2) The development environment of the prototype is as follows:  Programming language : J DK1.4,J ava Servlet  Process definition language : IPM-EPDL  Server environment : Tomcat 3.2, Apache  Client environment : Internet explorer 27

Knowledge delivery tool 28

Tacit knowledge description tool 29

Process knowledge tracking tool 30

Process template map in IPM process repository 31

Process template navigator of IPM process repository 32

9. Conclusion(1) This paper proposed an architecture for integrating KMSs and BPMSs, based on a comprehensive framework, to combine the advantages of the two paradigms. Process-oriented knowledge management systems are expected to provide the following advantages:  Process designers design or redesign processes, they can use existing process templates and execution results stored in a process repository. 33

9. Conclusion(2)  Process performers can be provided with the right knowledge at the right time(active delivery of knowledge is possible).  Performers can specify their know-how used when process instances are executed. Then it will be analyzed and evolved as process related knowledge. 34