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Advanced, highly specialized economies require instant, robust and efficient information flows within its value-added and Supply Chain networks. Especially also in the context of the recent Industry 4.0, smart manufacturing or cyber-physical systems initiatives more efficient and effective information exchange in supply networks is of paramount importance. The Supply Chain Operation Reference (SCOR) is a cross-industry approach to lay the groundwork for this goal by defining a conceptual model for Supply Chain related information. Semantics-based approaches could facilitate information flows in supply networks, and enable to analyze, monitor and optimize Supply Chains (in particular for robustness). This paper first reviews existing formalizations of the Supply Chain Council's SCOR standard. It then introduces the SCORVoc RDFS vocabulary which fully formalizes the latest SCOR standard, while over-coming the identified limitations of existing work

The success of the Semantic Web in research, technology and standardization communities has resulted in a large variety of different approaches, standards and techniques. This diversity and heterogeneity often involve an increasing difficulty of becoming acquainted with Semantic Web technologies. In this work, we present the SPARQLTrainer approach for educating novices in semantic technologies in a playful way. With SPARQLTrainer educators can devise a SPARQL course by defining a number of exercises either generically or for a specific domain. Learners can complete courses by stepwise answering questions of increasing complexity. These questions usually require the learner to build a SPARQL query for querying a certain knowledge base and using certain SPARQL features. The SPARQL queries created by a learner are compared with example solutions given by the instructor. This comparison takes possible variations into account and gives specific feedback to the learner.

With the LUCID Endpoint, we demonstrate how companies can utilize Linked Data technology to provide major data items for their business partners in a timely manner, machine readable and with open and extensible schemata. The main idea is to provide a Linked Data infrastructure which enables all partners to fetch, as well as to clone and to synchronize datasets from other partners over the network. This concept allows for building of networks of business partners much like as social network but in a distributed manner. It furthermore provides a technical infrastructure for business communication acts such as supply chain communication or master data management.

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