LSWT Archives - DBpedia Association https://www.dbpedia.org/lswt/ Global and Unified Access to Knowledge Graphs Tue, 20 Sep 2022 08:54:53 +0000 en-GB hourly 1 https://wordpress.org/?v=6.4.3 https://www.dbpedia.org/wp-content/uploads/2020/09/cropped-dbpedia-webicon-32x32.png LSWT Archives - DBpedia Association https://www.dbpedia.org/lswt/ 32 32 Wrap up Data Week Leipzig 2022 https://www.dbpedia.org/blog/wrap-up-data-week-leipzig-2022/ Tue, 26 Jul 2022 06:45:58 +0000 https://www.dbpedia.org/?p=5380 Exactly 3 weeks ago, the first Data Week Leipzig started on July 4th, 2022. Data Week was a week-long event in Leipzig focusing on digitization in heterogeneous areas of life as well as transparent, traceable and sustainable applications. Among many other presentations and formats in the area of digitalization and AI, DBpedia also made a […]

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Exactly 3 weeks ago, the first Data Week Leipzig started on July 4th, 2022. Data Week was a week-long event in Leipzig focusing on digitization in heterogeneous areas of life as well as transparent, traceable and sustainable applications. Among many other presentations and formats in the area of digitalization and AI, DBpedia also made a great contribution to the event.

Following, we will give you a brief retrospective about DBpedia @ the LSWT 2022 as well as the first DBpedia Knowledge Engineering PhD Symposium.

DBpedia @ the LSWT 2022

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On Tuesday, 5th July, the Leipzig Semantic Web Day (LSWT) took place as part of the Data Week Leipzig. It was an opportunity for scientists, enterprises, and organizations to discuss topics in the field of Semantic Technology. These emphases are demonstrated in presentations by experts from industry and science.

As a part of the LSWT and the session “Data Acquisition and Data Sovereignty“ Sebastian Hellmann (AKSW, InfAI/DBpedia) presented „Linkmaster 3000. If it’s not linked, does it even exist?“

Later that day, Denis Streitmatter (AKSW, InfAI/DBpedia) gave his talk „Why we need Archivo“ as part of the session “Collaboration and Ontologies”.

1st DBpedia PhD Symposium

Wednesday, July 6th, was all about scientific exchange where junior and senior researchers establish relations and collaborations and exchange ideas. The goal of the event manifests a scientific community as a driver for DBpedia and Linked Data and expects synergies effects that will greatly improve scientific output by the involved community members.

To start the day, Sören Auer (TIB) opened the first PhD Symposium with words of welcome and by giving insights into his experience on “what makes a good PhD”.

The first session started with presentations by Aleksandr Perevalov on “Multilingual Accessibility of Knowledge Graph Question Answering Systems” and Johannes Frey on “Towards FAIR Linked Data Integration”. 

After a short coffee break, session 2 started with Marvin Hofer speaking about “Multilingual Accessibility of Knowledge Graph Question Answering Systems”. This was followed by the contribution of Fidan Limani “Bringing Research Artifacts (as closer) Together: Knowledge Graphs for Libraries”.

Afternoon Session

The last Session of the day was started by Gollam Rabby and his topic “Machine Learning on Semantic Scientific Knowledge” followed by Mehdi Azarafza and his presentation about “Distributed Approaches for Knowledge Representation and Reasoning on Geospatial Data”. Afterwards Mirza Mohtashim Alam was speaking about “Representation and Reinforcement Learning on Knowledge Graphs” and Paulo Ricardo Viviurka do Carmo closed the last session with his presentation on “Unsupervised Information Extraction from Academic Data Sources to Knowledge Graphs”. 

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Mehdi Azarafza from the InfAI

While the students held their presentations, they received feedback and on the other hand, the symposium participants gained insight 1) on how they structure and define their PhDs, 2) on what the current trends are and 3) on potential connecting a dedicated poster session where all PhD participants could bring their poster and discussed with the audience during the coffee breaks.

Closing

As the first DBpedia PhD Symposium came to an end, Sebastian Hellmann (AKSW, InfAI/DBpedia) and Milan Dojchinovski (DBpedia & CTU Prague) closed the meeting. Afterwards all participants were gathered for a city walking tour followed by the Living Lab Tour.

In case you missed the event, our presentations are available on the DBpeda event page. Further insights, feedback and photos about the event are available on Twitter (#DBpediaPhDSymposium hashtag).

Stay safe and check Twitter or LinkedIn. Furthermore, you can subscribe to our Newsletter for the latest news and information around DBpedia.

Julia & Emma

on behalf of the DBpedia Association

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LSWT 2021 – Wrap Up: DBpedia Talks and Tech Tutorial https://www.dbpedia.org/blog/lswt-2021-wrap-up-dbpedia-talks-and-tech-tutorial/ https://www.dbpedia.org/blog/lswt-2021-wrap-up-dbpedia-talks-and-tech-tutorial/#respond Mon, 12 Jul 2021 07:35:27 +0000 https://www.dbpedia.org/?p=4745 Last week was a fantastic week for DBpedia. On July 7, 2021 we gave 2 talks at the Leipzig Semantic Web Day (LSWT 2021). One day later we organized a DBpedia Tech Tutorial.  First and foremost, we would like to thank the LSWT organizing team for hosting these events. Following, we will give you a […]

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Last week was a fantastic week for DBpedia. On July 7, 2021 we gave 2 talks at the Leipzig Semantic Web Day (LSWT 2021). One day later we organized a DBpedia Tech Tutorial. 

First and foremost, we would like to thank the LSWT organizing team for hosting these events. Following, we will give you a brief retrospective about the presentations. For further details of the tutorial follow the link to the slides.

Talks at the LSWT 

Opening

Nathanael Arndt (AKSW / InfAI) opened the third session of the LSWT 2021 with a few welcoming words and information about the programme schedule.

Updates DBpedia: Stable Releases

Afterwards, Marvin Hofer (InfAI / DBpedia Association) spoke about the Milestones of the DBpedia Association before presenting the three major DBpedia editions – Latest core, DBpedia Global & DBpedia Live. 

Latest Core and Tiny Diamond

Marvin explained the differences between the latest core dataset and the snapshot edition – Tiny Diamond. The latest core data is online for 1 year and gets monthly updates of its contained dataset. It contains community extensions, developer debugging as well as rapid community reviewing. The DBpedia snapshot release is the same kind of data as the Latest core, contains the main content of DBpedia and is more stable and consistent. The next snapshot release will be published by end of July 2021. Check more details here

DBpedia Global

Furthermore, Marvin introduced DBpedia Global, a more powerful kernel for LOD Cloud Knowledge Graph that ultimately strengthens the utility of Linked Data principles by adding more decentralization i.e., broadening the scope of Linked Data associated with DBpedia. It was released in June 2021 and you can read more details on the DBpedia blog. Finally, Marvin demonstrated that DBpedia Global can be used very visually with an example of Erich Schröger. To get more information feel free to check out the presentation here.

DBpedia Archivo

Following, Dennis Streitmatter (InfAI / DBpedia Association) explained how DBpedia Archivo can be used, especially in order of ontology FAIRness which aims to improve (re)usability. Therefore, he presented ways to find an ontology, how to access ontologies via an API, how to interoperate an ontology and how to reuse it. Speaking about interoperable ontologies, he also showed the star rating system, which is testing parsing, license and consistency for the ontologies usability. To get more information about DBpedia Archivo feel free to check out the presentation here

DBpedia Live 2.0

As the last part of the session, Alex Winter (InfAI / DBpedia Association) and Maximilian Ressel (InfAI / DBpedia Association) presented DBpedia Live 2.0 which is a cool new API and is more flexible and usable than the recent DBpedia Live version. The goal of the project is to have an always up-to-date DBpedia Knowledge Graph. It started at the beginning of 2021 and it is only available in German and English, although they will adopt more languages. For the future they aim to find early adopters and gain first customers to further improve the service so it can be even more usable. To get more information about DBpedia Live, please go to the DBpedia website or check out the presentation here.

Outro

At the very end Nathanael closed the LSWT 2021 with some thank you words to all presentators, the audience as well as the co-organisators. The next LSWT will be part of a bigger event – the Data Week – which will also include a special DBpedia event. Stay tuned!

DBpedia Tech Tutorial @ LSWT 2021 on July 8

Opening

Jan Forberg (InfAI / DBpedia Association) opened the online tutorial with some general information about the program of the tutorial, the scope and the technical information.

DBpedia in a Nutshell and Getting Started with DBpedia sessions

After the opening, Jan continued with the first topic, the background on the DBpedia Association – how it all started and the evolution of DBpedia. The DBpedia Ontology was also addressed as well as the mappings, extractors and data groups (e.g. mappings, generic, text, wikidata). Jan concluded the first topic with information on the DBpedia Knowledge Graph Diamonds.

Getting Started with DBpedia session

In addition, Jan explained where to find data including DBpedia SPARQL endpoint, the DBpedia Databus platform as a repository for DBpedia and related datasets and the novel “collections” concept. Furthermore he demonstrated how to use the DBpedia data and the DBpedia Knowledge Graph.

 

DBpedia Technology Stack

Fabian Götz (InfAI / DBpedia Association) opened the session with a talk about the DBpedia Databus platform. He explicated how the Databus platform works, the Databus SPARQL endpoints and the Web API as well as the Maven Plugin. After that, he presented dockersized services including DBpedia Virtuoso and the DBpedia Plugin, DBpedia Spotlight (incl. use cases) and DBpedia Lookup.

Afterwards, Marvin Hofer (InfAI / DBpedia Association) explained the DBpedia release process on the Databus and showed his work on debugging DBpedia and the DBpedia Mods technology. He also demonstrated the quality assurance process using the concept of  minidumps. Furthermore, the topics (Pre)fusion, ID management and the novel concept of cartridges were explained by him.

Subsequently, Denis Streitmatter (InfAI / DBpedia Association) presented the DBpedia Archivo ontology manager and how to include ontologies here. He showed various use cases, e.g. how to find ontology, how to test your ontology and how to back it up. Then he shared the ontology tests 4 star schema and the SHACL based tests for ontologies with the audience. Please read the official DBpedia Archivo call here.

Contributions to DBpedia and Outro

As it got to the end of the tutorial, Denis Streitmatter (InfAI / DBpedia Association) explained how to improve mappings or introduce new mappings. He talked about improvement of the DBpedia Information Extraction Framework as well as contributing to DBpedia tests. Afterwards, Marvin Hofer presented how to contribute to DBpedia by writing SHACL tests or by editing mappings. Finally, Jan Forberg closed the meeting by taking questions from the audience. 

In case you missed the tutorial, our presentation is also available here. Further insights, feedback and photos about the event are available on Twitter (#DBpediaTutorial).

We are now looking forward to the next DBpedia tutorial, which will be held on September 1, 2021 co-located with the LDK conference in Zaragoza, Spain. Check more details here and register now! Furthermore, we will organize the DBpedia Day on September 9, 2021 at the Semantics Conference in Amsterdam. We are looking forward to meeting all Dutch DBpedians there! 

Stay safe and check Twitter or LinkedIn. Furthermore, you can subscribe to our Newsletter for the latest news and information around DBpedia.

Julia & Emma

on behalf of the DBpedia Association

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Artificial Intelligence (AI) and DBpedia https://www.dbpedia.org/blog/dbpedia-databus-is-a-driver-for-ai/ Thu, 11 Apr 2019 13:20:14 +0000 https://blog.dbpedia.org/?p=1132 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.

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Artificial Intelligence (AI) is currently the central subject of the just announced ‘Year of Science’  by the Federal German Ministry. In recent years, new approaches were explored on how to facilitate AI, new mindsets were established and new tools were developed, new technologies implemented. AI is THE key technology of the 21st century. Together with Machine Learning (ML), it transforms society faster than ever before and, will lead humankind to its digital future.

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!

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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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