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Workshop on Linked Enterprise Data Services, Provenance, Linking and QualitY @ INFORMATIK2017 The LEDSPLaY17 workshop brings together scientists, practitioners and domain experts to discuss current issues and new research approaches in the area of Linked Enterprise Data Management. We focus on enterprise and government data management with respect to quality, versioning, evolution and provenance as well as on linking and data fusion of Linked Data. Use cases, trends and ongoing technological developments, as well as current questions and problems from science and practice can be presented to and discussed with a broad specialist audience. [http://www.leds-projekt.de/media/downloads/LEDSPLaY17_call_for_papers.pdf Printer-friendly CfP version] ==Topics== * Data/Information Quality and Policies * Formal Models for Data Quality * Data Quality Measurement and Metrics * Evolution of Data Quality * Versioning and Co-Evolution of Linked Data * Provenance Tracking and Exploitation * Link and Knowledge Extraction * Corporate Memory and Big Data/Linked Data Integration * Data Lakes * Data Curation * Smart Data Management and Data Fusion * Corporate Data and Enterprise Application Development * Requirements and Business Use Cases for Linked Data * Trend Mining and Analytics * Open eGovernment Data * Semantic eCommerce ==Submissions== * Maximum 12 pages (full papers) or 8 pages (short papers) * PDF, Papers must be formatted according to the LNI format specifications of the GI. Word and LaTeX templates are provided. * submit at https://easychair.org/conferences/?conf=ledsplay17 * Accepted contributions will be published in the Open Access proceedings of the INFORMATIK 2017. * At least one author of an accepted paper must register for the conference and present their work during the workshop. ==Important Dates== * submission: 14 May 2017 * notification: 02 June 2017 * conference: 25 to 29 September 2017 in Chemnitz, Germany * workshop date: 28 September 2017 * details: https://informatik2017.de/ws29-ledsplay17/ ==Committees== * Workshop Chair ** [[has workshop chair::Michael Martin]], Leipzig University ** [[has workshop chair::Sebastian Tramp]], eccenca GmbH ** [[has workshop chair::Natanael Arndt]], Leipzig University ** [[has workshop chair::André Langer]], Chemnitz University of Technology ==Schedule== ===Session 1.1 – Knowledge and Service Management (09:00 – 10:30)=== Natanael Arndt; Toralf Kirsten; André Langer; Michael Martin; Thomas Riechert; Leander Seige;<br /> Workshop opening and Impulse Talk<br /> <br /> Sebastian TrampRoy Meissner; Marcus Kastner<br /> A mapping approach for configuration management tools to close the gap between two worlds and to regain trust<br /> <br /> Natanael Arndt; Norman Radtke<br /> A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the QuitStack<br /> <br /> Jörg Unbehauen; Michael Martin<br /> SPARQL Update queries over R2RML mapped data sources<br /> <br /> ''Coffee break''<br /> <br /> ===Session 1.2 – Modelle / Models (11:00 – 12:30)=== Jan-Patrick Weiß; Jens Rauch; Jens Hüsers; Jan-David Liebe; Frank Teuteberg; Ursula Hübner<br /> Entwicklung eines Datenmodells für ein umfassendes Forschungsdatenmanagement zur flexiblen Analyse longitudinaler Daten<br /> <br /> Thomas Riechert; Edgard Marx<br /> Anwendung des Heloise Common Research Modells in den Digital Humanities und Vorstellung des Projektes Professorale Karrieremuster der Frühen Neuzeit<br /> <br /> Toralf Kirsten; Alexander Kiel; Jonas Wagner; Mathias Rühle; Markus Löffler<br /> Selecting, Packaging, and Granting Access for Sharing Study Data<br /> <br /> ''Lunch break''<br /> <br /> ===Session 2.1 – Search and Discovery Applications (14:00 – 15:30)=== André Langer; Michael Krug; Luis Moreno; Martin Gaedke<br /> Utilizing Linked Data Structures for Social-aware Search Applications<br /> <br /> Konrad Abicht; Georges Alkhouri; Natanael Arndt; Roy Meissner; Michael Martin<br /> CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes<br /> <br /> Andreas Varwig; Friedemann Kammler; Oliver Thomas<br /> Smarte Datenintegration durch Benchmarking-as-a-Service – Vorschlag eines Vorgehensmodells zur Entwicklung eines unternehmensübergreifenden Informationssystems mittels Data Envelopment Analysis<br /> <br /> Konrad Abicht; Simeon Ackermann; Michael Martin<br /> Discover Barrier-free Accessible Locations with the Location Navigator<br /> <br /> ''Coffee break''<br /> <br /> ===Session 2.2 – Prozesse / Processes (16:00 – 17:30)=== Marius Politze; Bernd Decker; Thomas Eifert<br /> pSTAIX – A Process-Aware Architecture to Support Research Processes<br /> <br /> Andreas Henkel; Danny Ammon; Kutaiba Saleh<br /> Austausch medizinischer Forschungsdaten auf der Basis von IHE: Motivation, Modell, Erfahrungen<br /> <br /> Markus Löffler; Hans Binder; Toralf Kirsten; Frank Meineke<br /> Der Leipzig Health Atlas<br /> <br /> Discussion: What have Scientific Data Management and Linked Enterprise Data Services in common?<br /> Services · Prozesse · Informationssysteme · Linking · Datenqualität · Provenance<br />
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