News from the LODUM headquarters and all things Linked Open Data.
We are looking for a highly motivated Master students who would like to develop an indoor/outdoor navigation tool for the campus university of Munster.
The aim of the thesis is to come up with a tool (mobile/web) , that will enable navigation trough the campus buildings based on a linked open data graph. A first idea is to start by selecting one building of the campus, e.g., the library and create a graph indoor environment with accessibility for disable persons, using linked open data (LOD).
The Linked Data for eScience Services (LIFE) project, publishes resources as LOD, addressing all kinds of resources, ranged from articles and books across maps and raw data.
The overall goal of LIFE project is to facilitate sharing the research of data and thus improve interdisciplinary collaboration in science and education. It is a two-year project, that was funded by the German Research Foundation, and is jointly carried out by the Semantic Interoperability Lab (MUSIL) at Institute for Geoinformatics (http://ifgi.uni-muenster.de), the University Library at University of Münster and a wide range of partners.
The goal of the work (jointly conducted with the Institute for Geoinformatics at the University of Münster) is to develop a spatial recommender system which assists in exploring cause-effect relationships of significant incidence elevations of selected cancer types in a predefined geographic region. The system should draw on Linked Data techniques to answer two types of queries:
The tasks of the student include both a modelling component and an implementation component. The modelling aspect involves:
The implementation aspect includes:
We are looking for a highly motivated Master student who would like to develop a Geonames geocoding tool and API for linked data in LIFE. Even though library and other data is being published as linked open data in LIFE, currently, spatial reference of this data is implicit in the form of strings. In LIFE, resources should be searchable by places in a gazetteer, such as Geonames.org, as linked open data (LOD). The master thesis should address requirements for such a tool and an API reusable in the library context, discuss and analyse available solutions, and the development of an easy-to-use geocoder.
Linked Data for eScience Services (LIFE) is a two-year project funded by the German Research Foundation, jointly carried out by the Semantic Interoperability Lab (MUSIL) at Institute for Geoinformatics (http://ifgi.uni-muenster.de) and the University Library (http://ulb.uni-muenster.de) at University of Münster.The overall goal of LIFE is to facilitate sharing of research data and thus improve interdisciplinary collaboration in science and education. The approach addresses all kinds of resources, ranging from articles and books through maps to raw data.
Interested students should contact Simon Scheider.
Our colleagues at the spatio-temporal modelling lab offer an MSc thesis on “A Linked Open Data portal for annotating statistical datasets”:
The statistical datasets currently available in the Web often lack important information such as
In order to enable automated integration of this information in statistical software and hence to ensure meaningful analysis, the missing information should be queried from data providers or users and needs to be made accessible in the Web in a structured way.
The student will work on a Website that allows users to upload links to datasets available in the Web and add descriptions to these datasets. Useful description items need to be identified and existing methods for annotating spatio-temporal datasets need to be analysed. The dataset descriptions will be made accessible in the Web as Linked Open Data. To illustrate usage of the descriptions in statistical software, the SPARQL R package will be used to retrieve the descriptions and automatically import the annotated dataset in R.