Keywords:

Keywords:
Astract: Integrating Semantic Web concepts into the domain of e-business is a hot topic. However, most of the efforts spent so far concentrated on the improvement on B2C (business-to-consumer) e-commerce applications, achieved by semantic enrichment of information. With the growing importance of Service Oriented Architectures (SOA) companies started to move into the section of the Electronic Data Interchange (EDI), where applications exchange their business information semi-automatically. This B2B (business-to-business) electronic commerce is driven by aligning the internal business processes of companies to publicly available business processes. Thereby companies often do not consider the economic drivers of their business processes, which leads to incompatibilities between management, administration and technical layers. This chapter covers the two major domains of e-business / e-commerce, namely B2B and B2C. In the first, a model-driven approach towards B2B IT solutions is introduced, covering semantic aspects dealing with business models, business process models, and business document models. In the second application domain, the basic concepts of Semantic Web in the area of B2C electronic commerce are examined using a representative example from the e-tourism domain.

Keywords:
Astract: Conceptual languages to describe business models - not business process models - become increasingly important. One of the most expressive approaches towards business models is the Resource-Event-Agent (REA) ontology. REA has a substantial back-up in economic and accounting theory, but did lack a dedicated representation language for many years. Recently, we have introduced a domain specific modeling language including a REA meta model and a pertinent graphical notation. In this paper we build upon our previous work, but aim for a representation language that is able to serve as a serialization syntax also for other REA modeling approaches using UML class diagrams or OWL, etc. As a result we come up with REA-XML, an XML schema that allows a precise, tool-independent representation of REA models and that may also serve as an REA model exchange language between different tools.

Keywords:
Astract: Huge classes with more than 800 students pose a major challenge to lecturers as well as to students, especially when a practical part is included. In order to successfully master lectures of this size, novel kinds of teaching media provide a multitude of enhanced opportunities. In this paper, we present our experiences with the application of new media in our undergraduate course Introduction to Object-Oriented Modeling (OOM). In this course, we teach approximately 800-1000 students per year the principles and techniques of UML 2.0. New media, i.e., technologies other than the traditional blackboard presentation like a document camera, web-based self assessments, or lecture recordings, are applied to support both, students and lecturers when learning and teaching, respectively. We empirically underline the acceptance of our concept with the feedback of our students concerning the newly used technologies gained through an extensive survey.

Keywords:
Astract: In the discipline of accounting, the resource-event-agent (REA) ontology is a well accepted conceptual accounting framework to analyze the economic phenomena within and across enterprises. Accordingly, it seems to be appropriate to use REA in the requirements elicitation to develop an information architecture of accounting and enterprise information systems. However, REA has received comparatively less attention in the field of business informatics and computer science. Some of the reasons may be that the REA ontology despite of its well grounded core concepts is (1) sometimes vague in the definition of the relationships between these core concepts, (2) misses a precise language to describe the models, and (3) does not come with an easy to understand graphical notation. Accordingly, we have started developing a domain specific modeling language specifically dedicated to REA models and corresponding tool support to overcome these limitations. In this paper we present our REA DSL which supports the basic set of REA concepts.