DBpedia Day @ SEMANTiCS 2022

We are happy to announce that we are partnering again with the SEMANTiCS Conference which will host this year’s DBpedia Day on September 13, 2022. The SEMANTiCS is an established knowledge hub which brings together technology professionals, industry experts, and researchers to exchange knowledge regarding new technologies, innovations, and enterprise implementations in the fields of Linked Data and Semantic AI. 

Highlights/Sessions

Quick Facts

Registration/Tickets

Attending the DBpedia Community meeting costs 205 € (onsite). You need to buy your ticket on the SEMANTiCS website. Because of the current situation you are able to switch between online (55€) or onsite tickets (205 €) any time.

Sponsors and Acknowledgements

Organisation

  • Julia Holze, InfAI, DBpedia Association
  • Milan Dojchinovski, InfAI, DBpedia Association, CTU
  • Sebastian Hellmann, InfAI, DBpedia Association

We are looking forward to meeting you in Vienna, Austria or online!

Your DBpedia Association

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DBpedia Knowledge Engineering PhD Symposium

Dear all, 

We are excited to invite you to the 1st DBpedia Knowledge Engineering PhD Symposium, organized on July 6th, 2022 in Leipzig, Germany. The DBpedia Knowledge Engineering PhD Symposium will be held on the third day of the week-long Data Week Leipzig 2022 event (July 4-8, 2022).

We are creating a meeting place and scientific network around DBpedia for scientific exchange – the DBpedia Knowledge Engineering PhD Symposium – where junior and senior researchers establish relations and collaborations and exchange ideas and knowledge. Thus, we aim to manifest a scientific community as a driver for DBpedia and Linked Data and expect synergies and network effects that will greatly improve scientific output by the involved community members. 

Symposium Format

The DBpedia Knowledge Engineering PhD Symposium consists of the following highlights:

  • A senior researcher starts the symposium by giving insights into their experience on “what makes a good PhD”.
  • PhD students present their thesis and topics. On the one hand, they will receive feedback and on the other hand, the symposium participants will gain insight on 1) how they structure and define their PhDs, 2) what the current trends are and 3) make potential connecting points for collaboration.
  • A dedicated poster session where all PhD participants can bring their poster and discuss with the audience during the coffee breaks. Please contact the organizers if interested in presenting a poster!
  • A community session with discussions on how to coordinate the research around DBpedia.
  • Student mentoring – a senior researcher (see below the confirmed list of mentors) will be assigned to each PhD student to provide feedback on their PhD topic and have an informal conversation in the evening at the social event.
  • In the afternoon we will walk through the city center of Leipzig and also visit the LivingLab at the University of Leipzig. In the evening we will meet in a nearby pub and discuss the PhD topics of the day.

Each PhD presenter will receive a 30 minute slot which includes 20 minutes for presentation of the research topic and 10 minutes for questions, feedback and discussion.

Scope

We are looking for presentations within the broader scope of the knowledge engineering field. From knowledge extraction, integration and curation, to knowledge publishing, quality assurance and knowledge exploitation in AI solutions. 

How to apply

To apply for a PhD presentation please fill in the form and submit your PhD topic presentation until May 29, 2022.  Notifications of Acceptance will be sent out by June 3, 2022

How to register

The symposium will be organized as an on-site event where you need to register and buy at least a single day Data Week ticket. All symposium participants will be invited to an informal meeting in the evening, where the PhD student can discuss their current results and future plans with professors and experts from the knowledge engineering field.

Confirmed list of mentors

  • Maribel Acosta, RUB
  • Thomas Riechert, HTWK
  • Sahar Vahdati, InfAI
  • Maria-Esther Vidal, TIB
  • Krzysztof Węcel, PUEB

We look forward to meeting you in Leipzig and discussing your PhD research topic!

All the best,

Sebastian, Milan & Julia

on behalf of the DBpedia Association

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Tutorial @ Knowledge Graph Conference 2022

On May 2, 2022 we will organize a tutorial 2.0 at the Knowledge Graph Conference (KGC) 2022. The tutorial targets existing and potential new users of DBpedia, developers that wish to learn how to replicate DBpedia infrastructure, service providers interested in exploiting the DBpedia Knowledge Graph (KG) and data providers interested in integrating data assets with the DBpedia KG as well as data scientists (e.g. linguists) focused on extracting relevant information (e.g. linguistic) from/based on the DBpedia KG. 

During the course of the tutorial the participants will gain knowledge about how to find information, access, query and work with the DBpedia KG, how to replicate it and how to contribute and improve the Knowledge Graph. 

Quick Facts

Registration

Please register at the Knowledge Graph Conference website to be part of the meeting. You NEED to buy a conference ticket to join the tutorial.

Organisation

  • Milan Dojchinovski , InfAI, DBpedia Association, CTU
  • Sebastian Hellmann, InfAI, DBpedia Association
  • Jan Forberg, InfAI, DBpedia Association
  • Johannes Frey, InfAI, DBpedia Association
  • Julia Holze, InfAI, DBpedia Association
  • Marvin Hofer, InfAI, DBpedia Association

We are looking forward to meeting you in May!

Emma & Julia

on behalf of the DBpedia Association

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International Workshop on Data-driven Resilience Research 2022

In the face of continuously changing contextual conditions and ubiquitous disruptive crisis events, the concept of resilience refers to some of the most urgent, challenging, and interesting issues of nowadays society. Economic value networks, technical infrastructures, health systems, and social textures alike need to unfold capacities to withstand, adapt, recover or even refine and transform themselves to stay ahead of changes.

The D2R2’22 workshop will provide an open forum to exchange current issues, ideas, and trends in the area of Data-driven Resilience Research among scientists, software engineers, resilience practitioners, and domain experts. Ongoing technological developments, current research approaches as well as use case scenarios, and field reports will be presented and discussed with a broad and multi-disciplinary specialist audience. We invite contributions of novel results and ongoing work as well as position papers focusing on various aspects of Data-driven Resilience Research from a scientific or practical perspective.

CALL FOR PARTICIPATION

Please download the call for participation here.

  • submission: 6 May 2022
  • notification: 6 June 2022

TOPICS OF INTEREST

  • Data Modeling, Vocabulary Engineering
  • Data Pipeline Architectures
  • Agile Data Integration
  • Continuous Integration
  • Artificial Intelligence
  • Data Analysis
  • Trend Mining and Analytics
  • Temporal and Geographic Data Management
  • Data Aggregation
  • User Interaction
  • Supply Chain Data Management
  • Versioning and Co-Evolution of Linked Data
  • Provenance Tracking and Exploitation
  • Organizational Data Applications
  • (Open) Data Services

SUBMISSION

https://easychair.org/conferences/?conf=d2r2-22

  • Maximum 10 pages (full papers) or 5 pages (short papers).
  • PDF or HTML, Papers must be formatted according to the LNCS format specifications (Word and LaTeX) for HTML please see the ESWC guidelines.
  • Reviews will be carried out in a single-blind mode.
  • Accepted contributions will be published in the Open Access CEUR proceedings.
  • At least one author of an accepted paper must register for the workshop to present their work.

ORGANIZING COMMITTEE

  • Natanael Arndt (eccenca GmbH)
  • Sabine Gründer-Fahrer (InfAI e.V.)
  • Julia Holze (InfAI e.V.)
  • Michael Martin (InfAI e.V.)
  • Sebastian Tramp (eccenca GmbH)

We are looking forward to your contribution and to meet you in Leipzig!

With kind regards,

D2R2’22 Workshop Organization Team

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DBpedia @ Google Summer of Code Program 2022

DBpedia, one of InfAI’s community projects, will be part of the 11th Google Summer of Code (GSoC) program.

The GSoC program has the goal to bring students from all over the globe into open source software development. In this regard we are calling for contributors to be part of Google Summer of Codes. During two funded months, you will be able to work on a specific task, which results are presented in the summer. Have a look at some of the project ideas here.

We aroused your interest in participation? Great, then check out the DBpedia website for further information.

We are looking forward to your contribution! 

Kind regards,

Julia

on behalf of the DBpedia Association

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DBpedia Tutorial @ The Web Conference 2022

Dear all,

We are proud to announce that we will organize an online tutorial at the Web Conference on 25th of April 2022. A particular focus will be put on the DBpedia Infrastructure, i.e. DBpedia’s Databus publishing platform and the associated DBpedia services (Spotlight, Lookup and the DBpedia endpoints). In practical examples we will illustrate the potential and the benefit of using DBpedia in the context of the Web of Data.

Quick Facts

Style and Duration

We will organize a DBpedia Knowledge Graph hands-on tutorial. Although the tutorial will be shaped in a way that no specific prerequisites will be required, the participants would benefit if they have some background knowledge in Semantic Web concepts and technologies (RDF, OWL, SPARQL), general overview of the Web Architecture (HTTP, URI, JSON, etc.) and basic programming skills (bash, Java, JavaScript). The online tutorial will be 90 minutes.

Tickets

Please register at the Web Conference page to be part of the masterclass. You need to buy a full access pass to join the DBpedia Tutorial. 

Organisation

  • Milan Dojchinovski , InfAI, DBpedia Association, CTU
  • Sebastian Hellmann, InfAI, DBpedia Association
  • Jan Forberg, InfAI, DBpedia Association
  • Johannes Frey, InfAI, DBpedia Association
  • Julia Holze, InfAI, DBpedia Association

We are looking forward to meeting you online!

Kind regards,

Julia

on behalf of the DBpedia Association

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DBpedia Masterclass @ Connected Data World

Dear all,

We are proud to announce that we will organize the masterclass “DBpedia Knowledge Graph Tutorial for Beginners” at the Connected Data World event. The masterclass will take place online on December 2, 2021 at 4:15pm CET and it targets existing and potential new users of DBpedia, developers that wish to learn basics about the DBpedia Knowledge Graph and learn how to replicate and deploy DBpedia on a local infrastructure as well as Linked Data and Knowledge Graph adopters.

Highlights

In this masterclass, participants will learn how to consume the DBpedia Knowledge Graph (KG) with the least amount of effort. The masterclass will introduce the DBpedia KG and explain its dataset partitions. Particular focus will be put on “usability”. On a selected use case, we will explain the process of working with DBpedia KG and DBpedia technology stack (DBpedia Databus, DBpedia Spotlight, DBpedia Docker) and illustrate the potential and the benefits of using DBpedia.

Quick Facts

– Web URL: https://2021.connected-data.world/talks/dbpedia-knowledge-graph-tutorial-for-beginners/  

– When: December 2, 2021 at 4:15pm CET

– Where: The tutorial will be organized online.

Tickets 

Please register at the Connected Data World website to be part of the masterclass. You need to buy a full access pass to join the DBpedia masterclass. Please get your ticket here.

Organisation 

– Jan Forberg, DBpedia 

– Johannes Frey, DBpedia 

– Milan Dojchinovski, DBpedia / Czech Technical University in Prague

– Julia Holze, InfAI, DBpedia 

– Sebastian Hellmann, DBpedia 

We are looking forward to meeting you online!

Kind regards,

Julia

on behalf of the DBpedia Association

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DBpedia Day @ SEMANTiCS 2021

We are happy to announce that we are partnering again with the SEMANTiCS Conference which will host this year’s DBpedia Day on September 9, 2021. The SEMANTiCS is an established knowledge hub which brings together technology professionals, industry experts, and researchers to exchange knowledge regarding new technologies, innovations, and enterprise implementations in the fields of Linked Data and Semantic AI. 

Highlights/Sessions

  • Keynote presentation by Maria-Esther Vidal (TIB & L3S Research Center) (abstract)
  • DBpedia Databus presentation by Sebastian Hellmann (InfAI, DBpedia Association)
  • DBpedia member presentation
  • DBpedia Ontology session
  • NLP & DBpedia session 
  • Presentation of the Dutch National Knowledge Graph

Quick Facts

Registration/Tickets

Attending the DBpedia Day costs 138 € (onsite). You need to buy your ticket on the SEMANTiCS website. Because of the current situation you are able to switch between online (46€) or onsite tickets (138 €) any time.

Sponsors and Acknowledgements

Organisation

  • Enno Meijers, National Library of the Netherlands & Dutch DBpedia
  • Julia Holze, InfAI, DBpedia Association
  • Milan Dojchinovski, InfAI, DBpedia Association, CTU
  • Sebastian Hellmann, InfAI, DBpedia Association

We are looking forward to meeting you in Amsterdam or online!

Julia

on behalf of the DBpedia Association

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LDK Conference meets DBpedia in Zaragoza, Spain

We are happy to announce that we will organize a DBpedia Tutorial on September 1, 2021 in Zaragoza, Spain. This DBpedia tutorial will be part of the Language, Data and Knowledge conference 2021. Building upon the success of the previous events held in Galway, Ireland in 2017, and in Leipzig, Germany in 2019, this conference will bring together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications.

Quick facts

Highlights/Sessions

  • Using Databus collections (Download)
  • Creating customized Databus collections
  • Uploading data to the Databus
  • Using collections in Databus-ready Docker applications
  • Creating dockerized applications for the DBpedia Stack

Organisation

  • Milan Dojchinovski, InfAI, DBpedia Association
  • Jan Forberg, InfAI, DBpedia Association
  • Johannes Frey, InfAI, DBpedia Association
  • Julia Holze, InfAI, DBpedia Association
  • Sebastian Hellmann, InfAI, DBpedia Association

We are looking forward to meeting you at this year’s Language, Data and Knowledge Conference!

Cheers, Julia

on behalf of the DBpedia Association

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Assessing Language Identification Over DBpedia

Large-scale multilingual knowledge bases (KBs) are the key for cross-lingual and multilingual applications such as Question Answering, Machine  Translation,  and  Search. They can encode the same information in different languages and be used to deliver content in the most appropriate format to the user. For example, the figure below shows two different language versions of Google search for the query “rdf”.  

Another interesting use of multilingual KBs is their application as a training corpus to leverage better multilingual machine learning models. However, finding qualitative multilingual content can be challenging. An analysis of over 100 thousand KBs in LOD Laundromat shows that only ∼14% of them have language tags on their rdfs:labels while ∼20% of all rdfs:labels have no language tag. One solution to overcome this challenge is the use of language identification methods to automatically tag RDF content.

In this work, we exploit DBpedia’s multilingual content for training and evaluating different language identification methods and frameworks. We show that these approaches perform poorly on rdfs:labels. In our experiments, we evaluate the performance of six language identification methods which consist of two baselines (LangTagger) as well as Apache Tika, langdetect, and Apache openNLP language detector in two configurations.

LangTagger and langdetect use Naive Bayes classifiers for language detection. Langdetect uses a character-based while Apache Tika uses a word-based n-gram method to create features. Both LangTagger models were trained using QALD training dataset questions because it is multilingual and based on DBpedia resources. Table II gives an overview of the different language identification methods evaluated.

Evaluation: since openNLP and langdetect originally supported language identification for 103 and 55 languages, we used another configuration to limit the languages to 12. Those 12 languages are English, Deutsch, Spanish, French, Brazilian Portuguese, Portuguese, Italian, Dutch, Hindi, Romanian, Persian, and Russian which are used to train the baseline models. In this work,  we evaluate the performance of different language identification methods and frameworks over DBpedia rdfs:labels.

Conclusion: By observing the results shown in Table I, we can see that openNLP outperforms other frameworks w.r.t accuracy after limiting the number of inferred languages. langdetect outperforms other frameworks w.r.t. runtime. We show that it is possible to reach SOTA with a small training corpus (see baseline models in German language). Overall, the methods perform poorly on rdfs:labels. Further, we show that the accuracy can be improved by reducing the number of language profiles and using context-based training corpora.

Acknowledgement: This work was partially supported by DBpedia under Google Summer of Code (GSoC) 2020.

More information can be found in the following links:

Paper: https://ieeexplore.ieee.org/abstract/document/9364504

GitHub: https://github.com/AKSW/LangTagger

Authors: Lahiru Hinguruduwa, Edgard Marx (@eccenca GmbH), Tommaso Soru, Thomas Riechert

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