New Website and Blog

The DBpedia team have diligently cleaned up the website, have removed outdated content and created a platform for new tools, applications, services and data sets. We additionally integrated the DBpedia blog on the website, a long overdue step. So now, you have access to all in one spot.

Member Presentation Page

As part of the professionalisation, we have created a profile for every DBpedia Association member. We intend to provide much better visibility and acknowledgement to our member organisation on the website. With these changes, we will strengthen the DBpedia Association to receive our new goals. As a result of our joint efforts, we expect DBpedia to become a backbone for Linked Data and Knowledge Graphs in a combined public and economic way. If you want to profit from exclusive benefits and shape the development of DBpedia, please get in touch with us via dbpedia@infai.org or request membership material here.

Feedback Button

Feedback from the community and members is very important to us. So, we offer a tool for you, to make your voice heard. Just click the feedback button on each site. If you find the content helpful, please click on Yep. If you think the content is not sufficient, please report to us either directly on the website or via dbpedia@infai.org.

Acknowledgment

The DBpedia Association would like to thank Bettina Klimek, Henri Selbmann (Seefeuer GbR) and the KILT Competence Center at InfAI for their constant support to create the new DBpedia webpage.

Have fun browsing our new website. Stay safe and check Twitter, LinkedIn and our Website or subscribe to our Newsletter for the latest news and information.

In the coming weeks we will publish another blog post. We will take a closer look at the new website, highlight important subpages and new features.

Yours,

DBpedia Association

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In this digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Success with AI and ML depends on having the right infrastructure to process the data.[1]

The Value of Data Governance

One key element to facilitate ML and AI for the digital future of Europe, are ‘decentralized semantic data flows’, as stated by Sören Auer, a founding member of DBpedia and current director at TIB, during a meeting about the digital future in Germany at the Bundestag. He further commented that major AI breakthroughs were indeed facilitated by easily accessible datasets, whereas the Algorithms used were comparatively old.

In conclusion, Auer reasons that the actual value lies in data governance. Infact, in order to guarantee progress in  AI, the development of a common and transparent understanding of data is necessary. [2]

DBpedia Databus – Digital Factory Platform

The DBpedia Databus  – our digital factory Platform –  is one of many drivers that will help to build the much-needed data infrastructure for ML and AI to prosper.  With the DBpedia Databus, we create a hub that facilitates a ‘networked data-economy’ revolving around the publication of data. Upholding the motto, Unified and Global Access to Knowledge, the databus facilitates exchanging, curating and accessing data between multiple stakeholders  – always, anywhere. Publishing data on the Databus means connecting and comparing (your) data to the network. Check our current DBpedia releases via http://downloads.dbpedia.org/repo/dev/.

DBpediaDay – & AI for Smart Agriculture

Furthermore, you can learn about the DBpedia Databus during our 13th DBpedia Community meeting, co-located with LDK conference,  in Leipzig, May 2019. Additionally, as a special treat for you, we also offer an AI side-event on May 23rd, 2019.

May we present you the thinktank and hackathon  – “Artificial Intelligence for Smart Agriculture”. The goal of this event is to develop new ideas and small tools which can demonstrate the use of AI in the agricultural domain or the use of AI for a sustainable bio-economy. In that regard, a special focus will be on the use and the impact of linked data for AI components. 

In short, the two-part event, co-located with LSWT & DBpediaDay, comprises workshops, on-site team hacking as well as presentations of results. The activity is supported by the projects DataBio and Bridge2Era as well as CIAOTECH/PNO. All participating teams are invited to join and present their projects. Further Information are available here. Please submit your ideas and projects here.  

Finally, the DBpedia Association is looking forward to meeting you in Leipzig, home of our head office. Pay us a visit!

____

Resources:

[1] Zeus Kerravala; The Success of ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Requires an Architectural Approach to Infrastructure. ZK Research: A Division of Kerravala Consulting © 2018 ZK Research, available via http://bit.ly/2UwTJRo

[2] Sören Auer; Statement at the Bundestag during a meeting in AI, Summary is available via https://www.tib.eu/de/service/aktuelles/detail/tib-direktor-als-experte-zu-kuenstlicher-intelligenz-ki-im-deutschen-bundestag/

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Let the travels begin.

Welcome to Thessaloniki, Greece & ESWC

DBpedians from the Portuguese Chapter presented their research results during ESWC 2018 in Thessaloniki, Greece.  the team around Diego Moussalem developed a demo to extend MAG  to support Entity Linking in 40 different languages. A special focus was put on low-resources languages such as Ukrainian, Greek, Hungarian, Croatian, Portuguese, Japanese and Korean. The demo relies on online web services which allow for an easy access to (their) entity linking approaches. Furthermore, it can disambiguate against DBpedia and Wikidata. Currently, MAG is used in diverse projects and has been used largely by the Semantic Web community. Check the demo via http://bit.ly/2RWgQ2M. Further information about the development can be found in a research paper, available here. 

Welcome back to Leipzig Germany

With our new credo “connecting data is about linking people and organizations”, halfway through 2018, we finalized our concept of the DBpedia Databus. This global DBpedia platform aims at sharing the efforts of OKG governance, collaboration, and curation to maximize societal value and develop a linked data economy.

With this new strategy, we wanted to meet some DBpedia enthusiasts of the German DBpedia Community. Fortunately, the LSWT (Leipzig Semantic Web Tag) 2018 hosted in Leipzig, home to the DBpedia Association proofed to be the right opportunity.  It was the perfect platform to exchange with researchers, industry and other organizations about current developments and future application of the DBpedia Databus. Apart from hosting a hands-on DBpedia workshop for newbies we also organized a well-received WebID -Tutorial. Finally,  the event gave us the opportunity to position the new DBpedia Databus as a global open knowledge network that aims at providing unified and global access to knowledge (graphs).

Welcome down under – Melbourne Australia

Further research results that rely on DBpedia were presented during ACL2018, in Melbourne, Australia, July 15th to 20th, 2018. The core of the research was DBpedia data, based on the WebNLG corpus, a challenge where participants automatically converted non-linguistic data from the Semantic Web into a textual format. Later on, the data was used to train a neural network model for generating referring expressions of a given entity. For example, if Jane Doe is a person’s official name, the referring expression of that person would be “Jane”, “Ms Doe”, “J. Doe”, or  “the blonde woman from the USA” etc.

If you want to dig deeper but missed ACL this year, the paper is available here.

Welcome to Lyon, France

In July the DBpedia Association travelled to France. With the organizational support of Thomas Riechert (HTWK, InfAI) and Inria, we finally met the French DBpedia Community in person and presented the DBpedia Databus. Additionally, we got to meet the French DBpedia Chapter, researchers and developers around Oscar Rodríguez Rocha and Catherine Faron Zucker.  They presented current research results revolving around an approach to automate the generation of educational quizzes from DBpedia. They wanted to provide a useful tool to be applied in the French educational system, that:

• helps to test and evaluate the knowledge acquired by learners and…
• supports lifelong learning on various topics or subjects. 

The French DBpedia team followed a 4-step approach:

1. Quizzes are first formalized with Semantic Web standards: questions are represented as SPARQL queries and answers as RDF graphs.
2. Natural language questions, answers and distractors are generated from this formalization.
3. We defined different strategies to extract multiple choice questions, correct answers and distractors from DBpedia.
4. We defined a measure of the information content of the elements of an ontology, and of the set of questions contained in a quiz.

Oscar R. Rocha and Catherine F. Zucker also published a paper explaining the detailed approach to automatically generate quizzes from DBpedia according to official French educational standards. 

Thank you to all DBpedia enthusiasts that we met during our journey. A big thanks to

With this journey from Europe to Australia and back we provided you with insights into research based on DBpedia as well as a glimpse into the French DBpedia Chapter. In our final part of the journey coming up next week, we will take you to Vienna,  San Francisco and London.  In the meantime, stay tuned and visit our Twitter channel or subscribe to our DBpedia Newsletter.

Have a great week.

Yours DBpedia Association

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