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Workshop on Linked Enterprise Data Services, Provenance, Linking and QualitY

Thanks to all authors for their contribution. The submission deadline was May 15, 2017. The LEDSPLaY workshop will be held in conjunction with the FDM workshop on September 28, 2017 at the INFORMATIK 2017 in Chemnitz. The workshop schedule can be found here.

The biggest challenge for data-driven enterprise and e-commerce applications in the next decade is the transition from the integration of static and homogeneously structured data to the dynamic integration of heterogeneous, distributed, and semantically structured data (e.g., along value chains). Many companies, especially in the Industry 4.0 context, are increasingly focusing on the transformation and interconnection of existing data using semantic approaches (RDF).

Semantically annotated data can easily be connected to information from other domains, which would be expensive or unaffordable for companies that follow a classical data generation approach. By integrating and interconnecting several knowledge sources, companies automatically benefit from the dynamic growth and continuous improvement of different data sources. As a consequence, the quality of their own products and services as well as cross-company value chains can be significantly improved. The advantages of the linked-data approach against conventional data integration techniques are, among other things, an increased data model flexibility, better scalability on a large number of data sources, and richer context information through relationship effects. This significantly improves the technological basis and quality of many existing applications. Entirely new enterprise services and applications are thus possible, especially in the E-Commerce and E-Government application domain.

The LEDSPLaY17 workshop addresses these challenges and wants to bring together scientists, practitioners and domain experts to discuss current issues and new research approaches in the area of Linked Enterprise Data Management. We would like to focus on data and quality management, versioning, evolution and provenance, as well as on linking and data fusion of company data. Trends and ongoing technological developments can be presented, as well as current questions and problems from science and practice can be discussed with a broad specialist audience. We are also very interested in actual use cases as well as possible solutions in the areas of public administration and enterprise data management.

The workshop will focus on:

  • 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
  • Open eGovernment Data
  • Semantic eCommerce


  • Submission of contributions: until 30 Apr 2017 extended until 14 May 2017 23:59 (CEST)
  • Decision on acceptance: until 15 May 2017 until 05 Jun 2017
  • Submission of the printable version: until 30 Jun 2017
  • Workshop date: Thursday, 28 Sep 2017, N113

Information on submission

  • Both theoretical and practical articles should describe original work, present significant results of high quality, and provide rigorous, principled, and repeatable evaluation, the scientific contribution should be clearly recognizable.
  • The content of the articles should be oriented towards the focus of the workshop.
  • We prefer submissions in English.
  • Full papers must not be longer than 12 pages, short papers must not be longer than 8 pages including bibliography.
  • Papers must be formatted according to the LNI format specifications of the GI (updated version!). Word and LaTeX templates are provided.
  • The submissions will be peer reviewed.
  • Contributions may also be submitted from the program and organization committee.
  • An application for INFORMATIK 2017 is required to participate in the workshop.
  • The accepted contributions will be published in the Open Access proceedings of the INFORMATIK 2017.

Submission link

Call for Papers


Dr. Michael Martin, Leipzig University
Dr. Sebastian Tramp, eccenca GmbH
Natanael Arndt, Leipzig University
André Langer, Chemnitz University of Technology


Session 1.1 – Knowledge and Service Management (09:00 – 10:30)
Natanael Arndt; Toralf Kirsten; André Langer; Michael Martin; Thomas Riechert; Leander Seige;

Workshop opening and Impulse Talk

Sebastian TrampRoy Meissner; Marcus Kastner
A mapping approach for configuration management tools to close the gap between two worlds and to regain trust

Natanael Arndt; Norman Radtke
A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the QuitStack

Jörg Unbehauen; Michael Martin
SPARQL Update queries over R2RML mapped data sources

Coffee break

Session 1.2 – Modelle / Models (11:00 – 12:30)

Jan-Patrick Weiß; Jens Rauch; Jens Hüsers; Jan-David Liebe; Frank Teuteberg; Ursula Hübner
Entwicklung eines Datenmodells für ein umfassendes Forschungsdatenmanagement zur flexiblen Analyse longitudinaler Daten

Thomas Riechert; Edgard Marx
Anwendung des Heloise Common Research Modells in den Digital Humanities und Vorstellung des Projektes Professorale Karrieremuster der Frühen Neuzeit

Toralf Kirsten; Alexander Kiel; Jonas Wagner; Mathias Rühle; Markus Löffler
Selecting, Packaging, and Granting Access for Sharing Study Data

Lunch break

Session 2.1 – Search and Discovery Applications (14:00 – 15:30)

André Langer; Michael Krug; Luis Moreno; Martin Gaedke
Utilizing Linked Data Structures for Social-aware Search Applications

Konrad Abicht; Georges Alkhouri; Natanael Arndt; Roy Meissner; Michael Martin
CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes

Andreas Varwig; Friedemann Kammler; Oliver Thomas
Smarte Datenintegration durch Benchmarking-as-a-Service – Vorschlag eines Vorgehensmodells zur Entwicklung eines unternehmensübergreifenden Informationssystems mittels Data Envelopment Analysis

Konrad Abicht; Simeon Ackermann; Michael Martin
Discover Barrier-free Accessible Locations with the Location Navigator

Coffee break

Session 2.2 – Prozesse / Processes (16:00 – 17:30)

Marius Politze; Bernd Decker; Thomas Eifert
pSTAIX – A Process-Aware Architecture to Support Research Processes

Andreas Henkel; Danny Ammon; Kutaiba Saleh
Austausch medizinischer Forschungsdaten auf der Basis von IHE: Motivation, Modell, Erfahrungen

Markus Löffler; Hans Binder; Toralf Kirsten; Frank Meineke
Der Leipzig Health Atlas

Discussion: What have Scientific Data Management and Linked Enterprise Data Services in common?
Services · Prozesse · Informationssysteme · Linking · Datenqualität · Provenance

Programm Committee

Alessandro Adamou Knowledge Media Institute, The Open University
Jose María Alvarez Rodríguez Carlos III University of Madrid
Charalampos Bratsas Open Knowledge Greece & Mathematics Department of Aristotle University
Volha Bryl Springer Nature
Paul Buitelaar Insight – National University of Ireland, Galway
Pierre-Antoine Champin LIRIS
Ioana-Georgiana Ciuciu Babes-Bolyai University, Cluj-Napoca
Roberta Cuel University of Trento
Aba-Sah Dadzie Knowledge Media Institute, The Open University
Claudia d’Amato University of Bari
Florian Daniel Politecnico di Milano
Brian Davis Insight Centre for Data Analytics, Galway
Jeremy Debattista University of Bonn
Christian Dirschl Wolters Kluwer Germany
Mauro Dragoni Fondazione Bruno Kessler – FBK-IRST
Ingo Feinerer University of Applied Sciences Wiener Neustadt
Javier D. Fernández Vienna University of Economics and Business
José María García University of Seville
Juan Miguel Gomez Universidad Carlos III de Madrid
Jose Manuel Gomez-Perez Expert System
Michael Granitzer University of Passau
Benjamin Heitmann RWTH Aachen University, Database and Information Systems Group (i5)
Katja Hose Aalborg University
Valentina Janev The Mihajlo Pupin Institute
Sabrina Kirrane Vienna University of Economics and Business – WU Wien
Magnus Knuth Hasso Plattner Institute, University of Potsdam
Dimitris Kontokostas University of Leipzig
Jose Emilio Labra Gayo Universidad de Oviedo
Joerg Laessig University of Applied Sciences Zittau/Görlitz
Isaac Lera UIB
Steffen Lohmann Fraunhofer IAIS
Sandra Lovren?i? University of Zagreb, Faculty of organization and informatics Varazdin, Pavlinska 2, HR-42000 Varazdin, Croatia
John P. Mccrae National University of Ireland, Galway
Roy Meissner Institute of Applied Informatics
Andras Micsik SZTAKI
Dmitry Mouromtsev NRU ITMO, Russia
Markus Nentwig University of Leipzig
Axel-Cyrille Ngonga Ngomo University of Leipzig
Lyndon Nixon MODUL Technology GmbH
Andrea Giovanni Nuzzolese STLab, ISTC-CNR
Tassilo Pellegrini University of Applied Sciences St. Pölten
Thomas Riechert Leipzig University of Applied Sciences
Anisa Rula University of Milano-Bicocca
Felix Sasaki W3C
Bernhard Schandl mySugr GmbH
Pavel Shvaiko Informatica Trentina
Nadine Steinmetz TU Ilmenau
Holger Stenzhorn Saarland University Hospital
Simon Steyskal Siemens AG Austria
Mari Carmen Suárez-Figueroa Universidad Politécnica de Madrid
Jürgen Umbrich Vienna University of Economy and Business (WU)
Joerg Unbehauen University of Leipzig
Maria Esther Vidal Universidad Simon Bolivar, Dept. Computer Science
Joerg Waitelonis Hasso-Plattner-Institute Potsdam
Ulli Waltinger Siemens AG – Corporate Technology
Krzysztof Wecel Poznan University of Economics
Wolfram Wöß Institute for Application Oriented Knowledge Processing, Johannes Kepler University Linz, Austria
Eva Zangerle Databases and Information Systems, Department of Computer Science, University of Innsbruck
Amrapali Zaveri Maastricht University

Contact address

If you have any questions regarding the workshop, feel free to contact us via

Supported by

LEDS Project

Wachstumskern Unternehmen Region

Bundesministerium für Bildung und Forschung