planning - designing - developing IT
Special Interest Group on Systems Analysis and Design

Publications

Matching Business Process Models Using Positional Passage-Based Language Models

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Business operations are often documented by business process models. Use cases such as system validation and process harmonization require...

Towards an Empirically Grounded Conceptual Model for Business Process Compliance

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With the ever increasing number of legal requirements, ensuring business process compliance is a major challenge for today’s organizations....

Improving Business Process Intelligence with Object State Transition Events

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During the execution of business processes several events happen that are recorded in the company’s information system. These events...

The Role Concept for Relational Database Management Systems

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More complex applications lead to worse maintainability and extensibility. Flexible and dynamic concepts can help to balance maintainability and...

A Conceptual Model of Intended Learning Outcomes Supporting Curriculum Development

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Designing and developing a logical structure of intended learning outcomes (ILOs) by using a diagrammatic technique, is a challenge...

Store Review Spammer Detection Based on Review Relationship

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Reviews and comments play important role in online shopping. It can help people getting more information about stores and...

Cost-Informed Operational Process Support

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The ability to steer business operations in alignment with the true origins of costs, and to be informed about...

Big Data—Conceptual Modeling to the Rescue

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Big data is characterized by volume, variety, velocity, and veracity. We should expect conceptual modeling to provide some answers...

Automating the Adaptation of Evolving Data-Intensive Ecosystems

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Data-intensive ecosystems are conglomerations of data repositories surrounded by applications that depend on them for their operation. To support...

What’s Up in Business Intelligence? A Contextual and Knowledge-Based Perspective

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The explosive growth in the amount of data poses challenges in analyzing large data sets and retrieving relevant information...