First and foremost, we would like to thank the Institute for Applied Informatics for supporting our community and many thanks to the SEMANTiCS organization team for hosting this year’s community meeting. 

Opening of the DBpedia Day

Also this year, our CEO Sebastian Hellmann opened the community meeting by presenting the Databus 2.1.0 project (slides). Afterwards, Edward Curry from the University of Galway gave his fantastic keynote presentation “Towards Foundation Models for Data Spaces”. You can read his abstract here.

Member Presentation Session

Milan Dojchinovski, InfAI/DBpedia Association and CTU Prague, started the member presentation session with a short welcome. The first speaker was Angel Moreno, GNOSS, with his presentation “NEURALIA Rioja: the unified Knowledge Graph of La Rioja Government which integrates twenty six sources of information in a single access point” (slides). Shortly after, Enno Meijers, KB, talked about “Network-of-Terms, bringing links to your data” (slides). Next, Sarah Binta Alam Shoilee, Network Institute & Vrije Universiteit Amsterdam talked about ”Cultural AI Lab”(slides). This was followed by the presentation “Linking and Consumption of DBpedia in TriplyDB” by Kathrin Dentler & Wouter Beek, TriplyDB (slides). Then Sebastian Gabler, SWC, talked about “Using Dewey Decimal Classification for linked data” (slides). Finally, the last talk of this session was given by  Sebastian Tramp, eccenca, with “Using DBpedia Services with eccenca Corporate Memory and eccenca.my”.

For further details of the presentations follow the links to the slides. 

• “NEURALIA Rioja: the unified Knowledge Graph of La Rioja Government which integrates twenty six sources of information in a single access point” by Angel Moreno, GNOSS (slides)
• “Network-of-Terms, bringing links to your data” by Enno Meijers, KB (slides)
• ”Cultural AI Lab” by Sarah Binta Alam Shoilee, Network Institute & Vrije Universiteit Amsterdam (slides)
• “Linking and Consumption of DBpedia in TriplyDB” by Kathrin Dentler & Wouter Beek, TriplyDB (slides)
• “Using Dewey Decimal Classification for linked data” by Sebastian Gabler, SWC (slides)
• “Using DBpedia Services with eccenca Corporate Memory and eccenca.my” by Sebastian Tramp, eccenca (slides)

DBpedia Science: Linking and Consumption

This session was dedicated to the most recent research on linking and consumption of the DBpedia Knowledge Graph and beyond. Novel methods, tools and challenges around linking and consumption of knowledge graphs were presented and discussed. Milan Dojchinovski, InfAI/DBpedia Association and CTU Prague, chaired this session with five talks. Hereafter you will find the presentations given during this session:

• “Open Research Knowledge Graph” by Sören Auer, TIB
• “Blocking Methods for Entity Resolution on Knowledge Graphs” by Daniel Obraczka, Data Science Center ScaDS.AI Dresden/Leipzig (slides)
• “Validating SHACL Constraints with Reasoning: Lessons Learned from DBpedia” by Maribel Acosta, TUM School of Computation, Information and Technology
• “Exploiting Semi-Structured Information in Wikipedia for Knowledge Graph Construction” by Nicolas Heist, Data and Web Science Group, University of Mannheim (slides)
• “Using Pre-trained Language Models for Abstractive DBpedia Summarization” by Hamada Zahera, Data Science Group, Paderborn University (slides)

DBpedia Community session

Sebastian Hellmann, InfAI/DBpedia Association, hosted this year’s community session. DBpedia has had a major impact on data landscape during our 15-year journey. This session discussed the progress of the vision of a “Global and Unified Access to Knowledge Graphs”, which paved the way for an international FAIR Open Data Space driven by knowledge graphs. The session focused on the potential of large-scale knowledge graphs to reshape the open data domain. Topics included how the DBpedia community can pool its data, tools and know-how more effectively, and how we can make these assets more findable, accessible and interoperable. The session provided an insightful discourse on the future of open data and how we can forge strategic alliances across diverse industrial sectors.

Following, you find the presentations of this session: 

• “Update Japanese DBpedia” Hideaki Takeda, LODI (slides)
• Several impulses about different topics and follow-up discussion, moderated by Sebastian Hellmann, InfAI/DBpedia Association (discussion document)

In case you missed the event, all slides are also available on our event page. Further insights, feedback and photos about the event are available on Twitter via #DBpediaDay. 

We are now looking forward to more DBpedia events in the upcoming months and at next year’s SEMANTiCS Conference, which will be held in Amsterdam, Netherlands.  

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

Maria & Julia

on behalf of the DBpedia Association

The post DBpedia Day in Leipzig @ SEMANTiCS 2023 appeared first on DBpedia Association.

First and foremost, we would like to thank the Institute for Applied Informatics for supporting our community and many thanks to the SEMANTiCS organization team for hosting this year’s DBpedia Day. 

Opening of the DBpedia Day

Also this year, our CEO Sebastian Hellmann opened DBpedia Day by presenting the Linkmaster 3000 project (slides). Afterwards, Olaf Harting from Linköping University gave his fantastic keynote presentation “Towards Querying Heterogeneous Federations of Interlinked Knowledge Graphs”. If you would like to get more insights, please find his slide deck here.

Member Presentation Session

Gavin Mendel Gleason, TerminusDB, started the DBpedia member presentation session with his presentation “TerminusCMS: the semantically aware & natively versioned content management system”. Shortly after, Susana López-Sola, GNOSS, talked about “Open GNOSS V.5.0: the platform for creating Semantic AI solutions. Everything is interlinked”. Next, Sotiris Karampatakis, Semantic Web Company, talked about “Using PoolParty to provide up-to-date vocabularies to CKAN data portals”. Followed by an online presentation by David Riccitelli, WordLift, presenting the “Making sense of your Knowledge Graph with Google DataStudio”. 

For further details of the presentations follow the links to the slides. 

• “TerminusCMS: the semantically aware & natively versioned content management system” by Gavin Mendel Gleason, TerminusDB (slides)
• “Open GNOSS V.5.0: the platform for creating Semantic AI solutions. Everything is interlinked.” by Susana López-Sola, GNOSS (slides)
• “Using PoolParty to provide up-to-date vocabularies to CKAN data portals.” by Sotiris Karampatakis, Semantic Web Company (slides)
• “Making sense of your Knowledge Graph with Google DataStudio” by David Riccitelli, WordLift (slides)

DBpedia Science: Linking and Consumption

This session was dedicated to the latest research on linking and using the DBpedia Knowledge Graph and beyond. New methods, tools and challenges around knowledge graph linking and usage were presented and discussed. Milan Dojchinovski (InfAI, CTU Prague) chaired this session with five talks. Hereafter you will find the presentations given during this session:

• “Know, Know Where, KnowWhereGraph” by Krzysztof Janowicz, University of Vienna (slides)
• “Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs” by Daniel Obraczka, Data Science Center ScaDS.AI Dresden/Leipzig (slides)
• “Open Research Knowledge Graph” by Vinodh Ilangovan, Leibniz Information Centre for Science and Technology (TIB) (slides)
• “Bootstrapping Knowledge Graphs using DBpedia’s Ecosytem – AKSW.org KG 2.0” by Marvin Hofer, Data Science Center ScaDS.AI Dresden/Leipzig (slides)
• “SDM-RDFizer” by Enrique Iglesias, L3S (slides)

DBpedia Community session

Sebastian Hellmann, InfAI/DBpedia Association, hosted this year’s DBpedia Community Session. Linking data has been heavily researched for decades. The main reason for its popularity is that linking is a necessary condition for use in the sense of discovery (follow links) and integration (use links for data fusion). This session focused on data from specific communities (e.g., national datasets, digital humanities, DBpedia language chapters) so that best practices for discovery, linking, and use can be derived. The three talks were dedicated to this topic.

Following, you find a list of all presentations of this session: 

• “Linking Linked Data – Useful Links” by Sebastian Hellmann, InfAI/DBpedia Association (slides)
• “DBpedia Databus – User-generated Data Catalogues” by Johannes Frey, InfAI/DBpedia Association 
• “Open Data Austria” by Brigitte Barotanyi, Federal Ministry of Labour and Economy (Austria) (slides)

In case you missed the event, all slides are also available on our event page. Further insights, feedback and photos about the event are available on Twitter via #DBpediaDay. 

We are now looking forward to more DBpedia events in the upcoming months and next year’s SEMANTiCS Conference, which will be held in Leipzig, Germany.  

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

Emma & Julia

on behalf of the DBpedia Association

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Following, we will give you a brief retrospective about the presentations.

Opening Session

Katja Hose – “Querying the web of data”

….on the search for the killer App.

The concept of Linked Open Data and the promise of the Web of Data have been around for over a decade now. Yet, the great potential of free access to a broad range of data that these technologies offer has not yet been fully exploited. This talk will, therefore review the current state of the art, highlight the main challenges from a query processing perspective, and sketch potential ways on how to solve them. Slides are available here.

Dan Weitzner – “timbr-DBpedia – Exploration and Query of DBpedia in SQL”

The timbr SQL Semantic Knowledge Platform enables the creation of virtual knowledge graphs in SQL. The DBpedia version of timbr supports query of DBpedia in SQL and seamless integration of DBpedia data into data warehouses and data lakes. We already published a detailed blogpost about timbr where you can find all relevant information about this amazing new DBpedia Service.

Showcase Session

Maribel Acosta – “A closer look at the changing dynamics of DBpedia mappings”

Her presentation looked at the mappings wiki and how different language chapters use and edit it. Slides are available here.

Mariano Rico – “Polishing a diamond: techniques and results to enhance the quality of DBpedia data”

DBpedia is more than a source for creating papers. It is also being used by companies as a remarkable data source. This talk is focused on how we can detect errors and how to improve the data, from the perspective of academic researchers and but also on private companies. We show the case for the Spanish DBpedia (the second DBpedia in size after the English chapter) through a set of techniques, paying attention to results and further work. Slides are available here.

Guillermo Vega-Gorgojo – “Clover Quiz: exploiting DBpedia to create a mobile trivia game”

Clover Quiz is a turn-based multiplayer trivia game for Android devices with more than 200K multiple choice questions (in English and Spanish) about different domains generated out of DBpedia. Questions are created off-line through a data extraction pipeline and a versatile template-based mechanism. A back-end server manages the question set and the associated images, while a mobile app has been developed and released in Google Play. The game is available free of charge and has been downloaded by +10K users, answering more than 1M questions. Therefore, Clover Quiz demonstrates the advantages of semantic technologies for collecting data and automating the generation of multiple-choice questions in a scalable way. Slides are available here.

Fabian Hoppe and Tabea Tiez – “The Return of German DBpedia”

Fabian and Tabea will present the latest news on the German DBpedia chapter as it returns to the language chapter family after an extended offline period. They will talk about the data set, discuss a few challenges along the way and give insights into future perspectives of the German chapter. Slides are available here.

Wlodzimierz Lewoniewski and Krzysztof Węcel  – “References extraction from Wikipedia infoboxes”

In Wikipedia’s infoboxes, some facts have references, which can be useful for checking the reliability of the provided data. We present challenges and methods connected with the metadata extraction of Wikipedia’s sources. We used DBpedia Extraction Framework along with own extensions in Python to provide statistics about citations in 10 language versions. Provided methods can be used to verify and synchronize facts depending on the quality assessment of sources. Slides are available here.

Wlodzimierz Lewoniewski – “References extraction from Wikipedia infoboxes” … He gave insight into the process of extracting references for Wikipedia infoboxes, which we will use in our GFS project.

Afternoon Session

Sebastian Hellmann, Johannes Frey, Marvin Hofer – “The DBpedia Databus – How to build a DBpedia for each of your Use Cases”

The DBpedia Databus is a platform that is intended for data consumers. It will enable users to build an automated DBpedia-style Knowledge Graph for any data they need. The big benefit is that users not only have access to data, but are also encouraged to apply improvements and, therefore, will enhance the data source and benefit other consumers. We want to use this session to officially introduce the Databus, which is currently in beta and demonstrate its power as a central platform that captures decentrally created client-side value by consumers.  

We will give insight on how the new monthly DBpedia releases are built and validated to copy and adapt for your use cases. Slides are available here.

Interactive session, moderator: Sebastian Hellmann – “DBpedia Connect & DBpedia Commerce – Discussing the new Strategy of DBpedia”

In order to keep growing and improving, DBpedia has been undergoing a growth hack for the last couple of months. As part of this process, we developed two new subdivisions of DBpedia: DBpedia Connect and DBpedia Commerce. The former is a low-code platform to interconnect your public or private databus data with the unified, global DBpedia graph and export the interconnected and enriched knowledge graph into your infrastructure. DBpedia Commerce is an access and payment platform to transform Linked Data into a networked data economy. It will allow DBpedia to offer any data, mod, application or service on the market. During this session, we will provide more insight into these as well as an overview of how DBpedia users can best utilize them. Slides are available here.

In case you missed the event, all slides and presentations are also available on our Website. Further insights, feedback and photos about the event are available on Twitter via #DBpediaDay

We are now looking forward to more DBpedia meetings next year. So, stay tuned and check Twitter, Facebook and the Website or subscribe to our Newsletter for the latest news and information.

If you want to organize a DBpedia Community meeting yourself, just get in touch with us via dbpedia@infai.org regarding program and organization.

Yours

DBpedia Association

The post More than 50 DBpedia enthusiasts joined the Community Meeting in Karlsruhe. appeared first on DBpedia Association.

Prior to joining Aalborg University, Katja was a postdoc at the Max Planck Institute for Informatics in Saarbrücken. She received her doctoral degree in Computer Science from Ilmenau University of Technology in Germany.

Can you tell us something about your research focus?

The most important focus of my research has been querying the Web of Data, in particular, efficient query processing over distributed knowledge graphs and Linked Data. This includes indexing, source selection, and efficient query execution. Unfortunately, it happens all too often that the services needed to access remote knowledge graphs are temporarily not available, for instance, because a software component crashed. Hence, we are currently developing a decentralized architecture for knowledge sharing that will make access to knowledge graphs a reliable service, which I believe is the key to a wider acceptance and usage of this technology.

How do you personally contribute to the advancement of semantic technologies?

I contribute by doing research, advancing the state of the art, and applying semantic technologies to practical use cases.  The most important achievements so far have been our works on indexing and federated query processing, and we have only recently published our first work on a decentralized architecture for sharing and querying semantic data. I have also been using semantic technologies in other contexts, such as data warehousing, fact-checking, sustainability assessment, and rule mining over knowledge bases.

Overall, I believe the greatest ideas and advancements come when trying to apply semantic technologies to real-world use cases and problems, and that is what I will keep on doing.

Which trends and challenges do you see for linked data and the semantic web?

The goal and the idea behind Linked Data and the Semantic Web is the second-best invention after the Internet. But unlike the Internet, Linked Data and the Semantic Web are only slowly being adopted by a broader community and by industry.

I think part of the reason is that from a company’s point of view, there are not many incentives and added benefit of broadly sharing the achievements. Some companies are simply reluctant to openly share their results and experiences in the hope of retaining an advantage over their competitors. I believe that if these success stories were shared more openly, and this is the trend we are witnessing right now, more companies will see the potential for their own problems and find new exciting use cases.

Another particular challenge, which we will have to overcome, is that it is currently still far too difficult to obtain and maintain an overview of what data is available and formulate a query as a non-expert in SPARQL and the particular domain… and of course, there is the challenge that accessing these datasets is not always reliable.

As artificial intelligence becomes more and more important, what is your vision of AI?

AI and machine learning are indeed becoming more and more important. I do believe that these technologies will bring us a huge step ahead. The process has already begun. But we also need to be aware that we are currently in the middle of a big hype where everybody wants to use AI and machine learning – although many people actually do not truly understand what it is and if it is actually the best solution to their problems. It reminds me a bit of the old saying “if the only tool you have is a hammer, then every problem looks like a nail”. Only time will tell us which problems truly require machine learning, and I am very curious to find out which solutions will prevail.

However, the current state of the art is still very far away from the AI systems that we all know from Science Fiction. Existing systems operate like black boxes on well-defined problems and lack true intelligence and understanding of the meaning of the data. I believe that the key to making these systems trustworthy and truly intelligent will be their ability to explain their decisions and their interpretation of the data in a transparent way.

What are your expectations about Semantics 2019 in Karlsruhe?

First and foremost, I am looking forward to meeting a broad range of people interested in semantic technologies. In particular, I would like to get in touch with industry-based research and to be exposed 

The End

We like to thank Katje Hose for her insights and are happy to have her as one of our keynote speakers.

Visit SEMANTiCS 2019 in Karlsruhe, Sep 9-12 and get your tickets for our community meeting here. We are looking forward to meeting you during DBpedia Day.

Yours DBpedia Association

The post SEMANTiCS 2019 Interview: Katja Hose appeared first on DBpedia Association.

Today’s post features an interview with Dan Weitzner from WPSemantix who talks about timbr-DBpedia, which we blogged about recently, as well as future trends and challenges of linked data and the semantic web.

Dan Weitzner is co-founder and Vice President of Research and Development of WPSemantix. He obtained his Bachelor of Science in Computer Science from Florida Atlantic University. In collaboration with DBpedia, he and his colleagues at WPSemantix launched timbr, the first SQL Semantic Knowledge Graph that integrates Wikipedia and Wikidata Knowledge into SQL engines.

Can you tell us something about your research focus?

WPSemantix bridges the worlds of standard databases and the Semantic Web by creating ontologies accessible in standard SQL. 

Our platform – timbr– is a virtual knowledge graph that maps existing data-sources to abstract concepts, accessible directly in all the popular Business Intelligence (BI) tools and also natively integrated into Apache Spark, R, Python, Java and Scala. 

timbr enables reasoning and inference for complex analytics without the need for costly Extract-Transform-Load (ETL) processes to graph databases.

How do you personally contribute to the advancement of semantic technologies?

We believe we have lowered the fundamental barriers to adoption of semantic technologies for large organizations who want to benefit from knowledge graph capabilities without firstly requiring fundamental changes in their database infrastructure and secondly, without requiring expensive organizational changes or significant personnel retraining.  

Additionally, we implemented the W3C Semantic Web principles to enable inference and inheritance between concepts in SQL, and to allow seamless integration of existing ontologies from OWL. Subsequently, users across organizations can do complex analytics using the same tools that they currently use to access and query their databases, and in addition, to facilitate the sophisticated query of big data without requiring highly technical expertise.  
timbr-DBpedia is one example of what can be achieved with our technology. This joint effort with the DBpedia Association allows semantic SQL query of the DBpedia knowledge graph, and the semantic integration of the DBpedia knowledge into data warehouses and data lakes. Finally, timbr-DBpedia allows organizations to benefit from enriching their data with DBpedia knowledge, combining it with machine learning and/or accessing it directly from their favourite BI tools.Which trends and challenges do you see for linked data and the semantic web?

Currently, the use of semantic technologies for data exploration and data integration is a significant trend followed by data-driven communities. It allows companies to leverage the relationship-rich data to find meaningful insights into their data. 

One of the big difficulties for the average developer and business intelligence analyst is the challenge to learn semantic technologies. Another one is to create ontologies that are flexible and easily maintained. We aim to solve both challenges with timbr.

Which application areas for semantic technologies do you perceive as most promising?

I think semantic technologies will bloom in applications that require data integration and contextualization for machine learning models.

Ontology-based integration seems very promising by enabling accurate interpretation of data from multiple sources through the explicit definition of terms and relationships – particularly in big data systems,  where ontologies could bring consistency, expressivity and abstraction capabilities to the massive volumes of data.As artificial intelligence becomes more and more important, what is your vision of AI?

I envision knowledge-based business intelligence and contextualized machine learning models. This will be the bedrock of cognitive computing as any analysis will be semantically enriched with human knowledge and statistical models.

This will bring analysts and data scientists to the next level of AI.

What are your expectations about Semantics 2019 in Karlsruhe?

I want to share our vision with the semantic community and I would also like to learn about the challenges, vision and expectations of companies and organizations dealing with semantic technologies. I will present “timbr-DBpedia – Exploration and Query of DBpedia in SQL”

The End

Visit SEMANTiCS 2019 in Karlsruhe, Sep 9-12 and find out more about timbr-DBpedia and all the other new developments at DBpedia. Get your tickets for our community meeting here. We are looking forward to meeting you during DBpedia Day.

Yours DBpedia Association

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After a very successful LDK conference May 20th-21st, representatives of the European DBpedia community met at Villa Ida Mediencampus,  on Thursday, May 23rd, to present their work with DBpedia and to exchange about the DBpedia Databus.  

For those of you who missed it or for those who want a little retrospective on the day, this blog post provides you with a short LDK-wrap-up as well as a recap of our DBpedia Day.

First things first

First and foremost, we would like to thank LDK organizers for co-locating our meeting and thus enabling fruitful synergies, and a platform for the DBpedia community to exchange.

LDK

The first presentation that kicked-off the conference was given by Prof. Christiane Fellbaum from Princeton University. The topic of her talk was on “Mapping the Lexicons of Signs and Words” with the main focus on her research of mapping WordNet and SignStudy, a resource for American Sign Language. Shortly after, Prof Eduard Werner from Leipzig University gave a very exciting talk on the “Sorbian languages”. He discussed the nature of the Sorbian languages, their historical background, and the unfortunate imminent extinction of lower Sorbian due to a decline of native speakers.

The first day of LDK was full of exciting presentations related to various language-oriented topics. Researchers exchanged about linguistic vocabularies, SPARQL query recommendations, role and reference grammar, language detection, entity recognition, machine translation, under-resourced languages, metaphor identification, event detection and linked data in general. The first day ended with fruitful discussions during the poster session. After at the end of the first conference day, LDK visitors had the chance to mingle with locals in some of Leipzig’s most exciting bars during a pub crawl.

Prof. Christian Bizer from the University of Mannheim opened the second day with a keynote on “Schema.org Annotations and Web Tables: Underexploited Semantic Nuggets on the Web?”. In his talk, he gave a nice overview of the research on knowledge extraction around the large-scale Web Data Commons corpus, findings, open challenges and possible exploitations of this corpus.

The second day was busy with four sessions, each populated with presentations on exciting topics ranging from relation classification, dictionary linking and entity linking, to terminology models, topical thesauri and morphology.

The series of presentations was ended with an Organ Prelude played by David Timm, the University Music Director at the Leipzig University. Finally, the day and the conference was concluded with a conference dinner at Moritzbastei, one of Leipzig’s famous cultural centres.

DBpedia Day

On May 23rd, the DBpedia Community met for the 13th DBpedia community meeting. The event attracted more than 60 participants who extended their LDK experience or followed our call to Leipzig.

Opening & keynotes

The meeting was opened by Dr. Sebastian Hellmann, the executive director of the DBpedia Association. He gave an overview of the latest developments and achievements around DBpedia, with the main focus on the DBpedia Databus technologies. The first keynote was given by Dr. Peter Haase, from metaphacts, with an unusual interactive presentation on “Linked Data Fun with DBpedia”. The second keynote speaker was Prof. Heiko Paulheim, presenting findings, challenges and results from his work on the construction of the DBkWiki Knowledge Graph by exploiting the DBpedia extraction framework.

Showcase session

The showcases session started with a presentation given by  Krzysztof Węcel on “Citations and references in DBpedia”, followed by Peter Nancke with a presentation on the “TeBaQA Question Answering System”, Maribel Acosta Deibe speaking about “Crowdsourcing the Quality of DBpedia” and finally, a presentation by Angus Addlesee on “Data Reconciliation using DBpedia”.

NLP & DBpedia session

The DBpedia & NLP session was opened by  Diego Moussallem presenting the results from his work on “Generating Natural Language from RDF Data”. The second presentation was given by Christian Jilek on the topic of “Named Entity Recognition for Real-Time Applications”, which at the same time won the best research paper at the LDK conference. Next, Jonathan Kobbe presented the best student paper at the LDK conference on the topic of “Argumentative Relation Classification”. Finally, Edgard Marx closed the session with an overview presentation on “From the word to the resource”.

Side-Event – Hackathon

The “Artificial Intelligence for Smart Agriculture” Hackathon focused on enhancing the usability of automatic analysis tools which utilize semantic big data for agriculture, as well as conducting an outreach of the DataBio project for the DBpedia community. The event was supported by PNO, Spacebel, PSNC, and InfAI e.V.

We improved the visualization module of Albatross, a platform for processing and analyzing Linked Open Data, and added functionalities to geo-L, the geospatial link discovery tool.  

In addition, we presented a paper about Linked Data publication pipelines, focusing on agri-related data, at the co-located LSWT conference.

Wrap Up

After the event, DBpedians joined the DBpedia Association in the nearby pub Gosenschenke to delve into more vital talks about the Semantic Web world, Linked Data & DBpedia.

In case you missed the event, all slides and presentations are available on our website. Further insights feedback and photos about the event can be found on Twitter via #DBpediaLeipzig.

We are currently looking forward to the next DBpedia Community Meeting, on Sept, 12th in Karlsruhe, Germany. This meeting is co-located with the SEMANTiCS Conference. Contributions are still welcome. Just ping us via dbpedia@infai.org and show us what you’ve got. You should also get in touch with us if you want to host a DBpedia Meetup yourself. We will help you with the program, the dissemination or organizational matters of the event if need be.

Stay tuned, check Twitter, Facebook, and the website, or subscribe to our newsletter for the latest news and updates.

Your 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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