Visualization and Interaction with Data-centric applications

We investigate novel visual techniques for interacting with very large or complex data sets. Semantically represented data such as the Linked Open Data Cloud are an important example. We have developed a range of tools and UIs for exploring and searching semantic data such as gFacet or RelFinder. With SemwidgJS, we have developed a JavaScript library that facilitates the integration of Linked Open Data into almost any regular Website. Within the OPDM-project an editor to create and edit semantic product models was realized with a particular focus on non-technical users, thus hiding technical details to achieve a better usability.

Tools for Searching and Exploring Semantic Data

With the steady growth of the Semantic Web, the classical World Wide Web as a network of documents is increasingly transformed into a Web of data. Information is no longer stored as monolithic blocks in web pages, but rather fragmented into many pieces that can be assigned to semantic concepts. We investigate novel forms of interacting with these data sets both in terms of visualization and exploration.


Interfaces for Semantic Data

In order to facilitate the adoption of Semantic Data, intelligent interfaces to create and use such data are vital. Designing and evaluating new approaches to create and use semantic data within regular as well as specialized use-cases are important steps to highlight advantages and benefits of a semantic data model. We strive to develop compelling interfaces which fully exploit all possibilities out of the semantic representation.


Visual Analytics

In this evolving research field, we deal with the development of novel interactive user interfaces for the visualization of unstructured and semi-structured, and possibly very large, sets of data using methods from Visual Analytics. The purpose of these interfaces is to support the user in decision-making and reasoning processes, for example while exploring a large database of products and their properties.



Jürgen Ziegler

Full Professor

Related publications

Investigating Learnability, User Performance, and Preferences of the Path Query Language SemwidgQL Compared to SPARQL

Semantic Models for Adaptive Interactive Systems

Interactive Construction of Semantic Widgets for Visualizing Semantic Web Data

ChainGraph: A New Approach to Visualize Shared Properties in Resource Collections

RelFinder: Revealing Relationships in RDF Knowledge Bases

Entdecken und Explorieren von Zusammenhängen im Semantic Web

gFacet: A Browser for the Web of Data

Pattern-based analysis of SPARQL queries from the LSQ dataset

Rule-enhanced task models for increased expressiveness and compactness

SemwidgJS: A Semantic Widget Library for the Rapid Development of User Interfaces for Linked Open Data

More related publications »

Related projects


Exploring techniques for semantic representation and management of product data


Methodical solutions for knowledge-driven cooperation in communities


Enabling small to medium enterprises to facilitate advisors within their systems to improve customer experience and conversion

Related developments


A Javascript library to enrich websites with Semantic Data Widgets


X3S is a format for describing semantic stylesheets


Extracts and visualizes relationships between objects in RDF data


Complex semantic querying made easy