The adoption of Linked Data technologies in enterprises in order to improve methods of Data Integration and to introduce new approaches for a more efficient Information Management is becoming increasingly popular. This trend is complemented by activities aimed at commercializing Interlinked (Open) Data, mainly undertaken by publishers and media companies. While professional information providers work on Linked Data infrastructures to be able to deliver better linkable information assets on a more granular level, enterprises are in the process of redesigning information strategies and content workflows. Ultimate goals are heading towards a more efficient reuse and enrichment of knowledge assets and the personalisation of information services.
In this tutorial, we will give several demos and concrete examples of how Linked Data can be used by enterprises in various industries. We will classify those to give a coherent picture over ‘typical application scenarios’ and corresponding benefits arguments. From an information provider’s perspective, we will discuss how Linked Data has become a game changer for the whole content industry. In addition, we will shed light on new business models for Linked Data at the intersection of Linked Data assets, stakeholders and revenue models by introducing the Linked Data Business Cube.
In the first part of the tutorial, attendees will be provided with a comprehensive picture of application scenarios for Linked Data in enterprises. We will talk about real-world use cases from various industries (pharma, finance, health care, media and publishing) including benefits arguments in the light of strategy considerations   .
In the second part, we will discuss various business model issues associated with Linked Data. Therefore, we will identify assets, stakeholders and revenue models that occur in the process of Linked Data value creation. We will introduce ‘The Linked Data Business Cube’, which shall provide a systematic approach to map Linked Data assets to stakeholders and revenue models   .
In the final part of this tutorial, attendees will gain detailed insights into new methods of information management along the whole content value chain (content creation, distribution and consumption). With the aid of concrete use case examples based on experiences from Wolters Kluwer, we will apply criterias defined by the Linked Data Business Cube  .
ELDSCID aims to give users and providers of Linked Data valuable methods and best practices at hand, which help them to make profound decisions in their Linked Data projects.
Christian Dirschl holds a Master of Arts Degree in Information Science. He is currently Head of Content Strategy and Architecture at Wolters Kluwer Deutschland GmbH.
Search, browsing and navigation are topics that Christian is familiar with for more than twenty years. He has been working in the area of automatic classification for seven years, and on Semantic Web for six years now. Christian has considerable experience in content architecture, including Content Management Systems and XML DTDs, domain taxonomies and thesauri.
Christian has given keynotes with high impact at conferences like the Industry Keynote at I-SEMANTICS 2011, Graz (Semantic Web and Legal Publisher: Strategy and Vision), at ISWC 2012, Boston (Managing the Life-Cycle of Linked Data with the LOD2 Stack), or at the European Data Forum 2014, Athens (Linked Data and Open Government Data as part of the business strategy of Wolters Kluwer Germany)
Andreas Blumauer, MSc IT studied Computer Sciences and Business Administration at the University of Vienna. Since 2004, he is managing partner of the Semantic Web Company. Andreas is experienced with large-scale IT-projects in various industry sectors, and he is also responsible for the product management of PoolParty. He has been a pioneer in the area of the Semantic Web since 2002; he is co-founder of SEMANTiCS conference series, co-editor and editor of one of the first comprehensive books in the area of the Semantic Web for the German speaking community.
Andreas is an experienced speaker who has given talks, tutorials and keynotes at conferences like OKCon 2011, Leipziger Semantic Web Days 2011, SMWCon 2014, SEMANTiCS 2014, or ISWC 2014. He is lecturer at the Danube University Krems and at several Universities of Applied Sciences in Austria.
Prof. (FH) Dr. Tassilo Pellegrini (born 1974) studied International Trade, Communication Science and Political Science at the University of Linz, University of Salzburg and University of Málaga. Since the end of 2007 he has been working as a lecturer at the University of Applied Sciences in St. Pölten. He obtained his masters degree in 1999 from the University of Salzburg on the topic of telecommunications policy in the European Union, which was followed by a PhD in 2010 on the topic of bounded policy-learning in the European Union with a focus on intellectual property policies.
His current research encompasses economic effects of internet regulation with respect to market structure and outcome. He is a member of the International Network for Information Ethics (INIE), the African Network of Information Ethics (ANIE) and the Deutsche Gesellschaft für Publizistik und Kommunikationswissenschaft (DGPUK). Beside his specialisation in policy research and media economics Tassilo Pellegrini has worked on semantic technologies and the Semantic Web. He is a co-founder of the Semantic Web Company in Vienna, a co-editor of the first German textbook on Semantic Web and Conference Chair of the annual SEMANTiCS conference series founded in 2005.
 Dirschl, C., Pellegrini, T., Nagy, H., Eck, K., Van Nuffelen, B., & Ermilov, I. (2014). LOD2 for Media and Publishing. In Linked Open Data--Creating Knowledge Out of Interlinked Data (pp. 133-154). Springer International Publishing.
 Blumauer, A., Pellegrini, T., & Paschke, A. (2010). Corporate Semantic Web - der Einsatz von Semantic-Web-Technologien im Unternehmen. HMD Praxis der Wirtschaftsinformatik, 47(5), 105-114.
 Pellegrini, T., Dirschl, C., Eck, K., Williams, H. (2014). Asset Creation and Commercialization of Interlinked Data. From: LOD2 – Creating Knowledge out of Interlinked Data, Deliverable 7.5
 Mezaour, A. D., Van Nuffelen, B., & Blaschke, C. (2014). Building Enterprise Ready Applications Using Linked Open Data. In Linked Open Data--Creating Knowledge Out of Interlinked Data (pp. 155-174). Springer International Publishing.
 Blumauer, A. (2014). Linked Data in Unternehmen. Methodische Grundlagen und Einsatzszenarien. In Linked Enterprise Data (pp. 3-20). Springer Berlin Heidelberg.
 Bauer, F., & Kaltenböck, M. (2011). Linked Open Data: The Essentials. Edition mono/monochrom, Vienna.
 Pellegrini, T. (2014). Linked Data Licensing – Datenlizenzierung unter netzökonomischen Bedingungen. In: Schweighofer, E. (Hg.). Transparenz. Tagungsband IRIS 2014. Wien: Verlag der Österreichischen Computergesellschaft, S. 159-168
 Pellegrini, T. (2014). Die Bewirtschaftung vernetzter Daten auf Basis von Linked Data Technologien. In Linked Enterprise Data (pp. 63-81). Springer Berlin Heidelberg.
 Pellegrini, T.; Dirschl, C.; Eck, K. (2014): Linked Data Business Cube – A systematic approach to Semantic Web business models. Mindtrek Conference 2014, Tampere, Finland (Best Paper Award).
 Dirschl, C.; Eck, K.; Lehmann, J. (2014): Supporting the Data Lifecycle at a global Publisher using the Linked Data Stack. In: ERCIM News Magazine.