LEDSPLaY17

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Chemnitz, Germany

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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.

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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

Committees

Schedule

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

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