One of the primary functions of the JVMG project is to enable researchers to work with existing data in ways that are not readily enabled by the data providers themselves. One way in which we are attempting to facilitate this flexible data work is through the use of Linked Data. As we are working with a diverse set of data providers, the ways in which they create, store, and serve data are similarly diverse. Some of these providers are MediaWiki pages, with data being available as JSON through the use of an API, while others are closer to searchable databases, with data existing as SQL and being offered in large data dumps.
What remains constant across these data providers is our general data workflow; data must be accessed in some way, analyzed so that a suitable ontology can be created that is able to represent the data, transformed into a Linked Data format (in our case RDF), and finally made available so that it is able to be worked with by researchers. To give readers an idea of what this workflow looks like and how the data we work with is altered in a way to help it meet the needs of researchers, we’ll be going over a couple of these steps in separate blog post. Here, we’ll talk about the creation of the ontology based on how data providers describe their own data, and in a followup post, we’ll talk about some technical aspects of data transformation.
Continue reading “Turning Fan-Created Data into Linked Data I: Ontology Creation”
The term Tiny Use Case, or TUC for short, was coined by the diggr (Databased Infrastructure for Global Games Culture Research) research project team. A detailed description of this workflow methodology can be found in their paper With small steps to the big picture: A method and tool negotiation workflow (Freybe, Rämisch and Hoffmann 2019).
Taking their inspiration from agile software development principles, the Tiny Use Case workflow was created to handle the needs of a complex research project that required the meshing of expertise from very different disciplinary backgrounds and involved a high level of uncertainty regarding the types of challenges that would emerge in the course of the project. By working through a series of three to four month long Tiny Use Cases the diggr team was able to leverage a similar cycle of continuous incremental innovations and assessments that is one of the main strengths of agile approaches.
UPDATE 2020. 03. 14.: Due to the situation regarding COVID-19 both of our upcoming conference appearances have been postponed. The Mechademia Conference will take place next year, and the Building Bridges Symposium will be held on an as yet undecided future date.
We will be introducing our first results at the following upcoming conferences and workshops. If you are interested in talking with a team member about our project, please feel free to contact us.
Our project will be present at the MAGIC workshop in conjunction with the ICADL2019 conference in Kuala Lumpur.
At MAGIC- Information Commons for Manga, Anime and video Games we wish to discuss issues for creating and sharing information about MAG contents and resources. A primary topic is metadata for MAG. Metadata covers broad range of information – from descriptions about a content to a vocabulary to organize MAG resources, and from metadata creation to search and access.
A poster presentation was given at the Dublin Core Metadata Initiative annual conference held from Sep. 23rd-26th, 2019 in Seoul, Korea.
Preprint of the poster paper:
The July workshop we discussed in our last post has now concluded, and we’re pleased to report that the event was quite successful! After introducing our own JVMG project, and the diggr project from Leipzig University, several of the invited community members gave presentations about their own sites and experiences. Over the two days of the conference, a lot of insightful discussions took place, and we think both the project and community members were able to both contribute and receive some information that will be helpful, either to their research projects or their community efforts.
Regarding the JVMG project, we received a lot of useful feedback from the invited community members, which will be important in allowing us to clarify how we communicate our project with other sites and interested parties in the future. In addition, all participants seemed interested in working with us on the project in various ways. In the near future, this will take the form of some data sharing agreements made between our project and various fan communities, allowing us to begin the project in earnest by collecting and analyzing a significant amount of aggregated, community-created data.
Finally, a big thanks to all of the community representatives from the Anime Characters Database, AnimeClick.it, Animexx, IGDB, Oregami, Stifftung Digitale Spielekultur, VNDB, and Wikidata’s Video Games Task Force for taking the time to come meet with us, and with the Leipzig members for hosting the workshop. This was an important initial milestone for us, and community involvement is vital to the foundation of our project, so we’re thankful for all of the interest and cooperation we received. We’ll be sure to update this blog as the project continues, so stay tuned!
All photos from Jean-Frédéric, Wikimedia.
We will be holding our first workshop in cooperation with the diggr project at the Leipzig University Library on July 2-3rd 2019. Participants include community-driven initiatives and fansites from North-America and Europe, along with more data-focused initiatives.
The first day of the workshop is open to the public, schedule is as follows:
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:
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 🙂
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.