Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications

✍ Scribed by Stefan Smolnik

• Publisher: IGI Global
• Year: 2011
• Tongue: English
• Leaves: 390
• Edition: 1
• Category: Library

✦ Synopsis

There are increasing opportunities to consider the application of semantic technologies for business information systems. Semantic technologies are expected to improve business processes and information systems, and lead to savings in cost and time as well as improved efficiency.Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications investigates the application of semantic technologies to business and information systems engineering. This reference work assists researchers in academia and industry, students, business process analysts, information management professionals, software engineers, and other practitioners in gaining knowledge on applying semantic technologies for advanced business information systems, in annotating semantics to business processes, and in semantically integrating advanced business information systems.

✦ Table of Contents

Table of Contents......Page 5
Preface......Page 9
Acknowledgement......Page 12
Section 1......Page 13
Ontologies and Controlled Vocabulary......Page 14
An Ontology-Based Method to Construct a Reference Model Catalogue for the Energy Sector......Page 29
Ontological Evaluation of Scheer’s Reference Model for Production Planning and Control Systems......Page 53
Section 2......Page 72
Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors......Page 73
Semantic Integration of Structured and Unstructured Data in Data Warehousing and Knowledge Management Systems......Page 94
Enhancing the Personal Knowledge Management with Semantic Desktop Technologies......Page 119
Section 3......Page 137
Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching......Page 138
Semantic Verification of Business Process Models......Page 163
Automated Planning of Process Models......Page 182
Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models......Page 208
Section 4......Page 226
EPCs Annotated with Lexical and Semantic Labels to Bridge the Gap between Human Understandability and Machine Interpretability......Page 227
Semantic Annotation of Business Process Templates......Page 255
Semantically Enhanced Business Process Modeling Notation......Page 272
Section 5......Page 289
Functional Components Specification in the Semantic SOA-Based Model......Page 290
Semantic-Enabled Compliance Management......Page 305
Semantic Policies for Modeling Regulatory Process Compliance......Page 324
A Broader View on Context Models towards Supporting Business Process Agility......Page 350
About the Contributors......Page 372
Index......Page 386