Zusammenfassung: Naturgemäß zieht jede interdisziplinäre Auseinandersetzung, wie hier zum Thema Semantic Web, Ungereimtheiten auf begrifflicher Ebene nach sich. "Wenn die Begriffe nicht klar sind, breitet sich Unordnung aus" weiß man spätestens seit Konfuzius. Dieses Kapitel soll daher jene zentralen Begriffe der Semantic Web-Entwicklung einführen und weitgehend definieren, die dann in den einzelnen Kapiteln jeweils in unterschiedliche Kontexte gesetzt werden. Anhand des "A-O-I-Modells des Semantic Web" werden schließlich jene drei Betrachtungsweisen zueinander in Beziehung gesetzt, denen in der derzeitigen Entwicklungsstufe des Semantic Web die jeweils höchste Aufmerksamkeit geschenkt wird: Anwenderkontext, Organisations-Kontext und (technische) Infrastruktur. Es eignet sich als Orientierungshilfe, um die unterschiedlichen Zielsetzungen in der Auseinandersetzung mit semantischen Technologien und dem Semantic Web zu einem "Big Picture" verschmelzen zu lassen, und um damit etwaige Missverständnisse, die immer dann entstehen, wenn unterschiedliche Standpunkte eingenommen werden, zu vermeiden.

Only a few media companies have so far (as of April 2012) publicly declared engagement in the area of Linked Data. Nevertheless among the chosen few are BBC Online, the New York Times, The Guardian and Reuters who utilize Linked Data to add significant value to the news production process. This paper discusses achievements and challenges in utilizing semantic metadata in the news production process. By discussing a BBC use case it illustrates how Linked Data can be integrated into the content value chain and provide added value to content-related workflows without necessarily disrupting them. This is insofar critical as publishing companies react very sensitively to radical changes in their working settings and are often very suspicious of technologically induced innovations. Given the fact that from the perspective of media professionals Linked Data is a highly technology driven phenomenon that incrementally incorporates the culture, speech and logic of the engineering discipline, it is necessary to translate the benefits of Linked Data into the thinking and understanding of the publishing sector by illustrating the intersections between the traditional editorial content value chain and Linked Data as a complementary resource to innovate existing products and services.

This paper presents conceptual assumptions about the interaction between the structural specificities of a thesaurus and the quality of a thesaurus-based application output. So far hardly any literature exists that discusses thesaurus modelling requirements with respect to the following thesaurusspecific application areas: classifying, indexing, autocomplete, query expansion, recommendation and glossaries. By looking at these application areas the authors compare the structural attributes of SKOS and discuss their functional relevance. The authors conclude that taking these assumptions into account can significantly support application-oriented thesaurus modelling hence incrementally improving thesaurusbased applications in terms of modelling scope and effort. An empirical testing of these assumptions is subject to future work.

This paper discusses the adoption of new data management practices, known as Linked Data, by publishing companies from a strategic management perspective. It investigates the role of semantic metadata in the creation and exploitation of so called Linked Data ecosystems and discusses organizational effects on business and value creation processes stimulated by the technology. The theoretical assumptions are complemented by two case studies that provide insights how publishing companies use Linked Data technologies to diversify their business, strategically position themselves within emerging business ecosystems and adapt to the affordances of advanced data management practices. The analysis reveals that despite of differences in the adoption strategy both publishing companies have identified Linked Data technologies as the core of their innovation strategy having a profound impact on existing business practices and new strategies of value creation.

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