[SORSE] Virtual Reality and Knowledge Graphs

Tuesday Sep 22, 2020, 7:00 PM → 8:00 PM UTC

Virtual (Zoom)

Bezaye Tesfaye Belayneh, Sandra Gesing (University of Notre Dame)

We’re delighted to announce another great SORSE Event that takes place 19:00-20:00 UTC on Tuesday 22nd September. We’re pleased to be welcoming two speakers at this event:

• Dr. Jack Brookes: UXF - Framework for creating Virtual Reality human behavior experiments in Unity
• Daniel Garijo, Information Sciences Institute, USC: Towards Knowledge Graphs of Research Software metadata​​​​​​​

Please see further details below.

Language: English

By joining the event in Zoom, I hereby confirm that I have read and understood the privacy policies for participation.

Slides_knowledge_graphs_software_metadata

Slides_UXF_framework.pptx

7:00 PM → 8:00 PM Talks

7:00 PM UXF - Framework for creating Virtual Reality human behavior experiments in Unity

Recent advances in technology has meant that Virtual Reality (VR) is now a feasible tool for performing human behaviour experiments. Scientists dream of being able to have full control over human sensory inputs, as well as complete measurement of responses. VR is coming closer to fulfilling this wish, but researchers must grapple with complex commercial tools (e.g. Unity) in order to create content. We present the Unity Experiment Framework (UXF), an open source toolkit for developing virtual reality experiments in Unity. UXF contains a suite of programming patterns, data collection features, and user interfaces which can be used by researchers to speed up development. This talk discusses the general uses of VR in human behaviour research, the conceptual design of UXF, and how UXF features are used in real experiments in psychology & neuroscience.

Speaker: Jack Brookes (UCL)

Contribution Information

Slides

7:30 PM Towards Knowledge Graphs of Research Software metadata

Research software is a key asset for understanding, reusing and reproducing results in computational sciences. An increasing amount of software is stored in code repositories, which usually contain human readable instructions indicating how to use it and set it up. However, developers and researchers often need to spend a significant amount of time to understand how to invoke a software component, prepare data in the required format, and use it in combination with other software. In addition, this time investment makes it challenging to discover and compare software with similar functionality. In this talk I will describe our efforts to address these issues by creating and using Open Knowledge Graphs that describe research software in a machine readable manner. Our work includes: 1) an ontology that extends schema.org and codemeta, designed to describe software and the specific data formats it uses; 2) an approach to publish software metadata as an open knowledge graph, linked to other Web of Data objects; and 3) a framework for automatically extracting metadata from software repositories; and 4) a framework to curate, query, explore and compare research software metadata in a collaborative manner. The talk will illustrate our approach with real-world examples, including a domain application for inspecting and discovering hydrology, agriculture, and economic software models; and the results of our framework when enriching the research software entries in Zenodo.org.

Speaker: Daniel Garijo (Information Sciences Institute, USC)

Contribution Information

Slides