Exploring the JVMG knowledge graph

The JVMG project collects data from multiple sources and converts it into the RDF format. One of the core characteristics of this format is that all entities and attributes are represented as URIs, while the value of said attributes are either URIs (thus linking two entities using a property) or literal values.

The SPARQL language can then be used to formulate search queries on RDF stored in a database, but this requires the user to be both familiar with the query language as well as the structure of the RDF data.

As all entities and properties are identified by URIs, one way to explore RDF data is having a web server that serves the domain that the data URIs are residing in and shows all information that can be associated with a given URI.

This functionality is one of the main ideas of linked data: a linked data frontend can serve “raw” RDF data to programs that try to resolve an URI while human users using a browser to resolve the same URI get a human-readable HTML view of all the data that is associated with this URI.

Such a frontend also allows for simple exploration and navigation of a dataset, as all URIs in the human-readable view can be made into clickable links.

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Some new hardware

As our project is data-driven, it can use the resources of the Stuttgart Media University Institute for Applied Artificial Intelligence. Those resources have recently been upgraded. Meet the deep learning servers, each with four nvidia GPUs:

Offices are getting prepared

The project members will work in the new lab room of the Stuttgart Media University Institute for Applied Artificial Intelligence. The lab room is currently being furnished, and I have prepared a suitable decorative piece 🙂

Project team grows

We have found two excellent young researchers who are interested in working on the project. As soon as the contracts are finalized, we will introduce the new team members here on the project website.

Grant application approved

We have been informed by the German Research Foundation (DFG) that our grant application has passed peer review and the program board has deceided to approve our application. The research plan will be fully funded with no cuts.

The project can start in 2019.