Linked Open Data University of Münster – Infrastructure and Applications
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The Linked Open Data University of Münster (LODUM) project establishes a university-wide infrastructure to publish university data as Linked Open Data. The main goals are to increase visibility and accessibility of data produced and collected at the university, and to facilitate effective reuse of these data. This includes the goal to ease the development of applications and mashups based on the data, so that the common user can benefit from the LODUM data. This demo shows the LODUM infrastructure that facilitates application development, and two applications that demonstrate the potential of the LODUM data API.
KeywordsLinked Open Data Facilitate Application Development Friend Of A Friend (FOAF) Workflow Techniques SPARQL Endpoint
1 The LODUM Project
Today’s research results are no longer limited to papers and books, but also include a variety of data, models, and software. Preserving and accessibility of these contents is fundamental to ensure the transparency and reproducibility of studies. The different scientific resources, be they publications, datasets, methods or tools should be annotated, interlinked and openly shared in order to make science more transparent and reproducible according to the Linked Science1 approach . Likewise, developers and endusers can benefit from administrative data published as Linked Oped Data.
The LODUM project tackles this long-term goal by implementing a strategy that aims to improve the transparency and visibility of the university, publishing any non-sensitive data online following the Linked Data principles. Data sources existing across the different sites of the university remain in place, leaving the control and responsibility in the hands of the original owner. Such data can be linked to and accessed from http://data.uni-muenster.de. This covers both scientific data and publications, as well as administrative data such as building databases and course schedules. LODUM is laid out as a long-term strategy that will open up and connect different data sources across the 15 faculties and departments step-by-step. With LODUM, the University of Münster is the first German university to implement such a program, following the early examples from the UK.2 The growing number of publications on Linked Data in science and education shows that this approach is gaining momentum (see, e.g., [2, 3, 4]).
This demo shows the technical infrastructure to manage data and make them available online. Moreover, we introduce two sample applications that have been built on the LODUM infrastructure: a 3D productivity map of the university, and the WWU App, a Web application optimized for mobile phones that provides information about the university for students, staff, and visitors.
This section documents the LODUM infrastructure, i.e., the technical workflow and the vocabularies in use.
2.1 Technical Workflow
The LODUM infrastructure consists of three layers, as shown in Fig. 1. At the core of this setup, an OWLIM triple store hosts the LODUM data. The management tools support tasks such as vocabulary management and link discovery between the initially disconnected datasets imported into LODUM. The retrieval tools expose the LODUM data via type-specific HTML pages and as raw RDF data, which can also be queried via the SPARQL endpoint at http://data.uni-muenster.de/sparql. In order to get data from existing systems into this infrastructure, we have developed custom triple factories that fetch the data from the different existing systems, convert them to RDF, and push them to the triple store.
2.2 Vocabularies in Use
We reuse existing vocabularies as much as possible to provide semantic annotations of the data we offer in LODUM. In addition, we have also created new vocabularies to introduce classes and properties not defined in existing vocabularies.
3.1 Productivity Map of University Researchers
The productivity map for Google Earth4 shown in Fig. 2 is an example of how LODUM facilitates data analysis. It renders the university buildings in 3D, where the building height indicates the number of publications written by researchers working in the respective building. The geometries of the buildings are stored according to the emergent GeoSPARQL standard . This interactive map can act as an entry point for the evaluation of and comparison between different departments.
3.2 WWU App
The Westfälische Wilhelms-Universität Münster (WWU) wants to offer students, staff and visitors information about cafeteria menus, navigation instructions to university buildings, and an overview map of all university buildings on their mobile phone. The latest version of this WWU App is a platform-independent Web app based on the LODUM data store, as shown in Fig. 3. It has been developed to replace existing native apps that had the data baked in, thus requiring frequent updates, and that were difficult to maintain for the wide range of different platforms. The initial version of the new Web app has been developed in a seminar taught by the authors. It has been built around the PrimeFaces JSF framework and a Glassfish application server that pulls the data from the SPARQL endpoint.
The University of Münster, Germany, is one of the first universities to commit to a institution-wide Linked Open Data program. The goal of the LODUM initiative is to increase transparency and comprehensibility both for research and for administrative matters. Beyond the technical infrastructure required to put this undertaking into practice—server facilities to run a triple store, SPARQL endpoint, data dumps, backups, and synchronization jobs—fostering a change in the mindset of the university’s research community is key for the success of LODUM. In this paper we described two applications demonstrating the use of the LODUM infrastructure. With these demonstrations we want to show that the real potential of Linked Data is in the ease of developing applications on top of the data using a standardized API—i.e. the way to access data online.
This research has been funded by the Linked Open Data University of Münster project (http://lodum.de) and the International Research Training Group Semantic Integration of Geospatial Information (DFG GRK 1498). We would like to thank the LODUM team, as well as Steffan Voss and Christopher Stephan for developing the WWU App.
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