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Astract: Business document standards usually cover a hierarchical structure of thousands of elements that may be relevant in any business context (any industry, any geopolitical region, etc.). In order to use a business document standard in a specific context, user groups define so-called implementation guidelines based on a subset consisting usually of 3-5% of the overall elements. When one defines a new implementation guideline for a specific context, one has always to start from scratch, which is time-consuming and also leads to heterogeneous interpretations of the standard. It is our goal to speed up the development process and to create more homogeneous implementation guidelines by learning from existing models. In the previous phases of our research we have developed the Enhanced Unified Context (E-UCM) model to represent business context. If we could assign instances of this model to already existing business document implementation guidelines, we may guess the subset of a new implementation guideline for a required BC. Accordingly, this paper describes our approach to calculate the content model (subset) of a message implementation guideline which is relevant in a required BC presented by the E-UCM context model.

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Astract: Business document types exchanged between business partners significantly differ among different industries and geopolitical regions. Therefore, the corresponding documents must be based on business document standards which can be adapted to any business context specific business scenario. In order to use a business document standard in a specific context, user groups develop so-called implementation guidelines based on a small subset of the standard. However, defining a new implementation guideline for a specific business context always starts from scratch, which is time-consuming and often leads to heterogeneous interpretations of the standard. It is our goal to speed up this development process and to create more homogeneous implementation guidelines by learning from existing models. Therefore, in this paper we define an ontology based model to formally represent business context. Furthermore, we propose an approach to assign instances of this model to already existing document implementation guidelines. This serves as a basis for calculation of the content model (subset) of a new implementation guideline which is relevant in a particular context presented by our ontology based business context model.

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Astract: One and the same inter-organizational business process - such as e-procurement - may be executed differently in different industries, geopolitical regions, etc. Thus, a standardized reference model for inter-organizational business processes must be customized to the specific business context (industry, region, etc.). In order to share, search, and (partially) re-use context specific adaptations it is essential not only to store the adaptations, but also a business context model where these adaptations are valid. In this paper we describe the Unified Context Model (UCM) introduced by the United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT). We explain the shortcomings of the approach and show how these can be undermined by our Enhanced Unified Context Model (E-UCM). The enhanced model serves as a basis for contextualizing business documents which are exchanged between different inter-organizational business processes. Having such an approach at hand, helps prevent negative trends in today's business, such as interoperability issues, inconsistencies and heterogeneous interpretations of the exchanged data contents.

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Astract: The reliable, efficient and seamless exchange of business information is essential for a successful execution of the interwoven business processes. However, development of the contents for electronic data exchange is time consuming and usually can not follow the agile demands of the today's business. If we could contextualize the pieces of the currently valid business information, we could predict its possible context specific variations. Therefore, the business contextual knowledge in which the already existing data contents are valid could be exploited to (semi-) automatically generate new, more homogeneous contents for electronic data interchange.

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Astract: Business transactions between companies are more and more executed by a flow of well-defined electronic business documents. The resulting inter-organizational business processes are often realized by concepts known from service-oriented computing. Exchanging a business document corresponds to a service call and the input/output of the service calls commonly follows a certain business document standard. However, these standards typically present the superset of all required elements used in any business context. In a specific context (in a specific industry, in a specific geopolitical region, etc.) the input/output is adjusted to this context by constraints on the generic structure. Accordingly, a specific service is always used in a specific context. It follows that it is important to define the business context of a service (in a structured format). For this purpose we have developed the Business Context Ontology model (BCOnt). In this paper we elaborate on the theoretical concepts and the underlying algorithms as well as on their implementation in practice.