About

The department Enterprise Information Systems (EIS) at the Institute for Applied Computer Science at University of Bonn and Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) is led by Sören Auer.

The primary objective of the research group is to advance research and technology in the field of enterprise information systems & semantic technologies and to widely apply this research in large-scale use cases. A particular focus of research and technology is information, data and knowledge integration employing Linked Data strategies. The department is committed to the open source, open access and open knowledge movements.

We achieved many projects and are actively working on several others. Please have a look at some of our demos:

  • ExConQuer Linked Data Publication and Consumption Framework

  • FuhSen A Platform for Federated, RDF-based Hybrid Search

    screenshot
  • iRap Interest-based RDF update propagation framework

    screenshot
  • LinDA Enabling Linked Data and Analytics for SMEs

    screenshot
  • LinkDaViz A Visualization Approach Employing Automatic Binding of Linked Data to Visualizations

    screenshot
  • Luzzu Quality Assessment Framework for LOD

    screenshot
  • SemAnn Web-based semantic annotation tool for PDF documents.

    screenshot
  • SINA question answering system for Linked Data

    screenshot
  • SlideWiki helps communities to create great presentations collaborativel

    screenshot
  • VoCol A low-threshold agile methodology for collaborative vocabulary development

    screenshot

News

EIS Papers Accepted at EKAW and ODBASE
Posted on Friday September 09, 2016

Following our previous article about the EIS Paper Submissions to the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) and to the 15th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2016), we are pleased to announce that the following papers were accepted: To EKAW 2016: An Integrated Environment to Support Version-Controlled […]

VIVO Conference Keynote: Towards digitizing scholarly communication
Posted on Friday August 19, 2016

This year’s VIVO conference gathered VIVO team members from participating institutions globally to come together with the aim to promote scholarly collaboration and research discovery. EIS’ Sören Auer was invited as keynote speaker. Here you can find the slides of his VIVO 2016 Conference opening keynote titled “Towards digitizing scholarly communication”. Abstract Despite the availability of ubiquitous connectivity and information technology, scholarly […]

Paper “Towards a Semantic Administrative Shell for Industry 4.0 Components” elected paper of the month
Posted on Monday August 01, 2016

Our paper “Towards a Semantic Administrative Shell for Industry 4.0 Components”[1] was elected as the paper of the month at Fraunhofer IAIS. This award is given to publications that have a high innovation impact in the research field after an committee evaluation. Authors Irlán Grangel-González, Lavdim Halilaj, Gökhan Coskun, Sören Auer, Diego Collarana, Michael Hofmeister […]

Recent EIS Paper Submissions
Posted on Tuesday July 19, 2016

Before the summer break EIS was submitting a number of articles to renowned conferences. To the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW) we submitted: Exploiting the value of data through Data Value Networks Judie Attard, Fabrizio Orlandi and Sören Auer Ontology-based Skills Demand and Trend Analysis Elisa Margareth Sibarani, Simon Scerri, Najmeh Mousavi […]

European Data Forum 2016: Scaling up the European Data Economy, June 27 – July 1, 2016
Posted on Friday June 24, 2016

The annual meeting-point for all stakeholders involved in the data value chain. The European Data Forum (EDF) is one of the key European events for industry professionals, researchers, policy makers and members of community initiatives to discuss the challenges and opportunities of data-driven innovation in Europe. The Forum will address all facets of data-driven innovation: […]