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Business Information Systems - 13th International Conference, BIS 2010, Berlin, Germany, May 3-5, 2010, Proceedings (Lecture Notes in Business Information Processing, Band 47)
0047
2
Preface
5
Organization
6
Table of Contents
8
Session 1. Search and Knowledge Sharing
8
Faceted Wikipedia Search
11
Introduction
11
UserInterface
12
DBpedia
14
The DBpedia Extraction Framework
14
The DBpedia Knowledge Base
15
Faceted Search Implementation
15
Requirements
15
Actual Implementation
17
Related Work
19
Conclusion
20
References
20
A Model of Cross-Functional Coopetition in Software Development Project Teams
22
Introduction
22
Literature Review
23
Theoretical Modeling
25
Hypothesises
25
Development of the Preliminary Model of Constructs Measurers
27
Research Methodology
28
Multiple Case-Studies
28
Survey Study
30
Research Limitations and Conclusion
30
References
31
Using Probabilistic Topic Models in Enterprise Social Software
33
Introduction
33
Probabilistic Topic Models
34
Basic Assumptions
34
Latent Dirichlet Allocation
35
Training and Using LDA
35
Applying Topic Analysis in Recommender Systems and Search
36
Recommender Systems
36
Using LDA in Search
38
Topic Analysis in Enterprise Social Software
39
Knowledge Structures and Latent Topics
39
Implementation
40
Walkthrough of the System
41
Related Work
42
Conclusions and Further Work
42
References
43
Session 2. Data and Information Security
8
Using SPARQL and SPIN for Data Quality Management on the Semantic Web
45
Introduction
45
Overview of Data Quality Problems
46
Representational Inconsistency
47
Comprehensibility
48
Heterogeneity
48
Redundancy
48
Identifying Data Quality Problems with SPARQL and SPIN
49
Architecture for Ontology-Based Data Quality Management (OBDQM)
49
Identification of Data Quality Problems with SPIN
50
Related Work
53
Evaluation
54
Conclusion and Outlook on Future Work
55
References
55
Quality in Blogs: How to Find the Best User Generated Content
57
Introduction
57
Related Work
58
Link Analysis
59
Page Content and Design
59
Machine Learning Approaches
59
Automatic Assessment of User Generated Content
60
Blog Analysis
61
Quality Model Development
63
Performance of the Trained Quality Models
64
Conclusion and Future Work
67
References
67
Avoiding Inconsistency in User Preferences for Data Quality Aware Queries
69
Introduction
69
Related Works
71
Quality-Aware Queries
73
Quality-Aware Metadata
73
Quality-Aware SQL
73
Modelling User Preferences
74
Inconsistent Partial Order Graphs
75
Inconsistency Detection
77
Evaluation and Conclusion
78
References
80
Session 3. Web Experience Modelling
8
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
81
Introduction
81
Related Work
83
Textractor Framework
83
Data Pre-processing
84
Candidate Concept Identification
85
Concept Selection and Extraction
86
Evaluation
87
Language Detector
88
Candidate Concept Identification
88
Concept Selection and Extraction
89
Conclusion and Future Work
90
References
91
Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining
93
Introduction
93
LTL over a Kripke Structure as a Common Formalism
95
Modeling a Web Portal to Verify Intended and Real Usages
96
Web Portal Model
97
Intended Usage
98
Frequent Usage Patterns Discovery through Frequent Sequential Pattern Mining
99
Comparing Real Usage and Intended Usage
101
TheWholeProcess
102
Conclusion
103
References
103
Capturing Eye Tracking Data for Customer Profiling
104
Introduction
104
Problem Context and Statement
105
Instrumentation
107
The Proposed Model
107
Profile Processing Prospects
113
Conclusions
113
References
114
Session 4. Business Processes and Rules
9
Consistency Checking of Compliance Rules
116
Introduction
116
Preliminaries
117
Linear Temporal Logic with Past Operators (PLTL)
117
Compliance Rules for Business ProcessModels
118
LTL Model Checking Based on B¨uchi Automata
119
Checking Consistency for Compliance Rules
120
The Business Context
122
Detecting Compliance Conflicts
123
Related Work
126
Conclusion
126
References
127
From Economic Drivers to B2B Process Models: A Mapping from REA to UMM
129
Introduction
129
Input and Output Models for Our Transformation
130
REA - The Input Model
130
UMM - The Output Model
132
Mapping REA to UMM
133
A Real Life Example from the Print Media Domain
133
Conceptual Mapping
135
Transformation Rules
138
Related Work
139
Conclusion
140
References
140
Using Surveys to Evaluate a Business Rules Based Development Approach
142
Introduction
142
Motivation
143
Business Rules Development Approach
144
K-Site Rules Business Rules Management System
145
K-Site Rules Expert Editor Evaluation
146
Survey Execution Environment
148
Survey Description
148
Time per Task
149
Participants' Characterization
149
K-Site Rules Interaction
151
Conclusions and Future Work
152
References
153
Session 5. Services and Repositories
9
Identification of Services through Functional Decomposition of Business Processes
154
Introduction
154
Related Work
155
Fundamental Concepts
156
Natural Types and Role Types
157
Activities
159
Functional Decomposition
159
Role Ontology
162
Actor (Who)
162
Resource (What)
163
Locator (Where)
163
Goal, Rule (Why)
163
Starter, Finisher (How, When)
163
Research Methodology
163
Conclusion and Future Work
164
References
165
Requirements for a Business Process Model Repository: A Stakeholders’ Perspective
168
Introduction
168
Research Approach
169
Exploratory Study
170
Analysis
170
Propositions
171
Empirical Study
172
Empirical Analysis
173
Requirements of Process Model Repository
177
Conclusion
178
References
179
Supporting Complex Business Information Systems A Case Study Focusing on Incidents, Recovery and Evolution
181
Introduction
181
Related Work
182
Terminology
183
Maintainability
185
Case Study’s Scenario
186
Avoiding Incidents
187
Landscape Recovery
189
Evolution
190
Conclusion
191
References
191
Session 6. Data Mining for Processes
9
On Integrating Data Mining into Business Processes
193
Introduction
193
Business Process Management
194
Business Processes and User Groups
194
Business Process Reengineering and Its Evaluation
195
Data Mining
196
Data Mining Problems, Goals and Methods
196
The Data Mining Process
196
Evaluating Data Mining
197
Integration of BPM and Data Mining
197
An Integrated Role Model
198
Integration of Data Mining Processes into Business Processes
199
Evaluating the Integration
200
Related Work
201
Conclusion
203
References
203
From Process Execution towards a Business Process Intelligence
205
Introduction
205
Process Orientation and Concepts of Process Analyses
206
Business Process Management
207
Current Concepts of Process Analyses
207
Systematization of Business Process Intelligence
209
Research Framework
210
Conclusion
215
References
215
Auditing Workflow Executions against Dataflow Policies
217
Introduction
217
WorkflowsandLogData
218
Policies
219
Syntax
220
Semantics
221
Audit Algorithm
222
Related Work
224
Conclusion and Ongoing Work
225
References
226
Workflow Data Footprints
228
Introduction
228
WFD-Nets for the Modeling of (Business) Workflows
230
Generation of Data Footprints
234
Conclusions
238
References
239
Session 7. Visualisation in BPM
9
On the Cognitive Effectiveness of Routing Symbols in Process Modeling Languages
240
Introduction
240
The Cognitive Side to Process Modeling
241
Evaluating the Cognitive Effectiveness of Modeling Languages
244
Language Differences
245
Basic Elements of Process Modeling Languages
245
Event-Driven Process Chains (EPCs)
246
UML Activity Models
246
Yet Another Workflow Language (YAWL)
247
Business Process Modeling Notation (BPMN)
247
Evaluation and Discussion
248
Conclusion
249
References
250
Visualising Business Capabilities in the Context of Business Analysis
252
Introduction
252
Business Capabilities and Business Analysis
253
Business Capabilities
253
Business Analysis Based on Business Capabilities
254
Visualisation of Business Capabilities
256
Example Visualisation
259
Related Work
261
Conclusion and Future Work
262
References
262
A Model Driven Engineering Approach for Modelling Versions of Business Processes using BPMN
264
Introduction
264
Modelling Versions of BPs: The VBP Meta-model
265
Notion of Version
266
VBP Meta-model
266
Extending BPMN to Model Versions of BPs
268
Core BPMN Concepts
268
BPMN Extensions
270
Mapping VBP onto Extended BPMN
271
Concepts and Pattern Mapping
271
QVT Transformation Rule
272
Implementation
273
Extending the BPMN Modeller Plug-In
273
Illustrative Example
274
Conclusion
275
References
276
Session 8. ERP and SCM
10
Value Propositions in Service Oriented Business Models for ERP: Case Studies
278
Introduction
278
Theoretical Framework
279
Service Orientation
279
Enterprise Resource Planning
279
ERP and Service Orientation
280
Business Model and Value Proposition
280
Case Analysis Approach
281
Content of the Value Propositions Found in the Case Studies
281
Assumed Customer Value
281
Patterns of Business Models
282
Findings
282
Case Overview
282
Content of Value Propositions Found in the Case Studies
284
Assumed Customer Value
285
Patterns of Business Model Components
287
Conclusions and Future Research
287
References
288
Event-Driven Business Intelligence Architecture for Real-Time Process Execution in Supply Chains
290
Introduction
290
Use Case for Supply Chain Logistics
291
Operational Business Intelligence
292
Concept of Operational Business Intelligence for Increasing Supply Chain Performance
293
Operational Business Intelligence Architecture for Supply Chain Management
293
Event-Driven Process Components
295
Appraisal of the Approach
297
Conclusion
299
References
299
Production Inventory and Enterprise System Implementation: An Ex-ante No-Cost Based Evaluation
301
Context and Problem Statement
301
ES Three-Step Ex-ante Evaluation Procedure: Application to aProduction Inventory Context
303
Metrics and Benefits: The Selection and Alignment Process
304
Methodology Selection and Business Modelling
306
Performance Metric Analysis and Evaluation of ES Investment
309
Conclusion
310
References
311
Author Index
314
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