This year, DBpedia will participate for the sixth time in a row in the Google Summer of Code program (GSoC). We are regularly growing our community through GSoC and are currently looking for students who want to join us for a summer of coding. Read below for further details about GSoC and how to apply.
What is GSoC?
Google Summer of Code is a global program focused on bringing more student developers into open source software development. Funds will be given to students (BSc, MSc, Ph.D.) to work for three months on a specific task. At first, open source organizations announce their student projects and then students should contact the mentor organizations they want to work with and write up a project proposal for the summer. After a selection phase, students are matched with a specific project and a set of mentors to work on the project during the summer.
If you are a GSoC student who wants to apply to our organization, please check our guidelines before you start drafting your project proposal.
This year GSoC timeline is as follows:
March 12th, 2018
Student applications open (Students can register and submit their applications to mentor organizations.)
April 9th, 2018
Student application deadline
April 23rd, 2018
Accepted students are announced and paired with a mentor. Bonding period begins.
May 14h, 2018
Coding officially begins!
August 6th, 2018
Final week: Students submit their final work product and their final mentor evaluation
August 22nd, 2018
Final results of Google Summer of Code 2017 announced
Check our website, follow us on #twitter or subscribe to our newsletter for further updates.
… that it has already been eleven years since the first DBpedia dataset was released? Eleven years of development, improvements and growth, and now, 13 billion pieces of information are comprised in our last DBpedia release. We want to take this opportunity to send out a big thank you to all contributors, developers, coders, hosters, funders, believers and DBpedia enthusiasts who made that possible. Thank you for your support.
But, apart from our data sets, there is much more DBpedia has been doing., especially during the past year. Think about the success story of Wouter Maroy, a GSoC 2016 student who got the opportunity to do a six weeks internship at our DBpedia office in Leipzig and who is still contributing to DBpedia’s progress.
All in all, 2017 was highly successful and full of exciting events. Remember our 10th DBpedia Community Meeting in Amsterdam featuring an inspiring keynote by Dr. Chris Welty, one of the developers at IBM computer Watson. Our DBpedia meetings are always a great way to bring the community closer together, and to not only meet our DBpedia audience but also new faces. Therefore, we have already started to plan our community meetings for 2018.
We hope to see you in Poznan, Poland, in spring and to meet you during the SEMANTiCS Conference in Vienna, from 10th – 13th of September 2018. Additionally, if everything goes according to plan, we will be mentoring young DBpedia enthusiasts throughout summer in GSoC 2018 and meet the US DBpedia community in autumn this year. Follow us on Twitter or check our Website for the latest News.
And last but not least, this year we plan something special. DBpedia intends to participate in Coding DaVinci – Germany’s first open cultural hackathon, which happens to take place in Leipzig, right around the corner. Aspiring data enthusiast will develop new creative applications from cultural open data. The kick-off is in early April, followed by 9 weeks of cooperative coding. We are eagerly awaiting the start of this event.
We do hope, we will meet you and some new faces during our events this year. The DBpedia Association want to get to know you because DBpedia is a community effort and would not continue to develop, improve and grow without you. Thank you and see you soon…
One lightning event after the other. Just four weeks after our Amsterdam Community Meeting, we crossed the Atlantic for the third time to meet with over 110 US-based DBpedia enthusiasts. This time, the DBpedia Community met in Cupertino, California and was hosted at Apple Inc.
First and foremost, we would like to thank Apple for the warm welcome and the hosting of the event.
After a Meet & Greet with refreshments, Taylor Rhyne, Eng. Product Manager at Apple, and Pablo N. Mendes, Researcher at Apple and chair of the DBpedia Community Committee, opened the main event with a short introduction setting the tone for the following 2 hours.
The main event attracted attendees with eleven invited talks from major companies of the Bay Area actively using DBpedia or interested in knowledge graphs in general such as Diffbot, IBM, Wikimedia, NTENT, Nuance, Volley and Stardog Union.
Tommaso Soru (University of Leipzig), DBpedia mentor in our Google Summer of Code (GSoC) projects, opened the invited talks session with the updates from the DBpedia developer community. This year, DBpedia participated in the GSoC 2017 program with 7 different projects including “First Chatbot for DBpedia”, which was selected as Best DBpedia GSoC Project 2017. His presentation is available here.
DBpedia likes to thank the following poeple for organizinga nd hosting our Community Meeting in Cupertino, California.
For continuous hosting of the main DBpedia Endpoint
Invited Talks- A Short Recap
Filipe Mesquita (Diffbot) introduced the new DBpedia NLP Department, born from a recent partnership between our organization and the California based company, which aims at creating the most accurate and comprehensive database of human knowledge. His presentation is available here. Dan Gruhl (IBM Research) held a presentation about the in-house development of an omnilingual ontology and how DBpedia data supported this
endeavor. Stas Malyshev representative for Dario Taraborelli (both Wikimedia Foundation) presented the current state of the structured data initiatives at Wikidata and the query capabilities for Wikidata. Their slides are available here and here. Ricardo Baeza-Yates (NTENT) gave a short talk on mobile semantic search.
The second part of the event saw Peter F. Patel-Schneider (Nuance) holding a presentation with the title “DBpedia from the Fringe” giving some insights on how DBpedia could be further improved. Shortly after, Sebastian Hellmann, Executive Director of the DBpedia Association, walked the stage and presented the state of the art of the association, including achievements and future goals. Sanjay Krishnan (U.C. Berkeley) talked about the link between AlphaGo and data cleansing. You can find his slides here. Bill Andersen (Volley.com) argued for the use of extremely precise and fine-grained approaches to deal with small data. His presentation is available here. Finally, Michael Grove (Stardog Union) stressed on the view of knowledge graphs as knowledge toolkits backed by a graph data model.
The event concluded with refreshments, snacks and drinks served in the atrium allowing to talk about the presented topics, discuss the latest developments in the field of knowledge graphs and network between all participants. In the end, this closing session was way longer than had been planned.
GSoC Mentor Summit
Shortly after the CA Community Meeting, our DBpedia mentors Tommaso Soru and Magnus Knuth participated at the Google Summer of Code Mentor Summit held in Sunnyvale California. During free sessions hosted by mentors of diverse open source organizations, Tommaso and Magnus presented selected projects during their lightning talks. Beyond open source, open data topics have been targeted in multiple sessions, as this is not only relevant for research, but there is also a strong need in software projects. The meetings paved the way for new collaborations in various areas, e.g. the field of question answering over the DBpedia knowledge corpus, in particular the use of Neural SPARQL Machines for the translation of natural language into structured queries. We expect that this hot deep-learning topic will be featured in the next edition of GSoC projects. Overall, it has been a great experience to meet so many open source fellows from all over the world.
After the event is before another ….
Connected Data London, November 16th, 2017.
Sebastian Hellmann, executive director of the DBpedia Association will present Data Quality and Data Usage in a large-scale Multilingual Knowledge Graph during the content track at the Connected Data in London. He will also join the panelists in the late afternoon panel discussionabout Linked Open Data: Is it failing or just getting out of the blocks? Feel free to join the event and support DBpedia.
A message for all DBpedia enthusiasts – our next Community Meeting
Currently we are planning our next Community Meeting and would like to invite DBpedia enthusiasts and chapters who like to host a meeting to send us their ideas to email@example.com. The meeting is scheduled for the beginning of 2018. Any suggestions regarding place, time, program and topics are welcome!
Only 8 days left to reserve your seat for our 3rd US DBpedia Community Meeting. We are happy to announce that the 11th DBpedia Meeting will be held in Cupertino, California on October 12th 2017, hosted by Apple Inc.
The meetup focuses on connecting the community interested in DBpedia and Knowledge Graphs in general, has included lightning talks by distinguished speakers (e.g. from Stanford, Google, IBM Watson, Netflix, LinkedIn, Wikimedia Foundation, Nuance, etc.). Talk topics have extended also to natural language processing, knowledge representation, information extraction, integration and retrieval, graph databases, knowledge base embeddings and machine learning.
We are looking forward to meeting again in person with the US-based DBpedia Community.
After the success of the last two community meetings in Sunnyvale and in Galway, we thought it is time to go Orange again. During the SEMANTiCS 2017 in Amsterdam, Sep 11-14, the DBpedia Community met on the 14th of September. First and foremost, we would like to thank the Institute for Applied Informatics for supporting our community and many thanks to the Meervaart Theatre and the SEMANTiCS for hosting our community meeting.
During the opening session, Chris Welty, Google Researcher, presented Even the Changes Are Changing: A New Age of Cognitive Computing. He introduced the impact and challenges of question answering & AI as well as the development of Jeopardy through technical changes. Victor de Boer from the VU University talked about Semantic Technology for Development: Semantic Web without the Web?. He demonstrated the use of semantic technology in the challenging technical environment of developing countries. Both talks illustrated the ever growing importance of semantic technology and AI each placed at opposite sites of the technology spectrum, from Raspberry PIs to High Performance Clusters.
The DBpedia Showcase Session started with an interactive interview. Sebastian Hellmann (AKSW/KILT) talked with Jan-Bart de Vreede (Kennisnet, former member of the Wikimedia Foundation) about the challenges of growing an open community and creating a more formal structure. They discussed advantages, pitfalls and what lessons can be learned from other communities such as Wikimedia. Afterwards Markus Freudenberg (AKSW/KILT) introduced the highlights of the 2016-10 DBpedia Release.
At this session, five speakers presented how to utilize DBpedia in novel and interesting ways. Including:
Virtuoso 8 and Scalable Attributed-based Access Controls (ABAC) by Patrick van Kleef (Openlink Software)
Learning to Associate DBpedia Entities like Humans by Joern Hees (DFKI) (demo)
Towards Using UnifiedViews for Executing DBpedia Data Extraction and Curation Tasks by Tomas Knap (Semantic Web Company)
Sustainable Linked Data Generation: The Case of DBpedia by Wouter Maroy (imec)
As a regular part of the DBpedia Community Meeting, we had two parallel sessions in the afternoon where DBpedia newbies can learn about what DBpedia is and how to use the DBpedia datasets. Participants who wanted to learn DBpedia basics joined the tutorial session by Markus Freudenberg (DBpedia Release Manager). The DBpedia Association Hour provided a platform for the community to discuss the results of the DBpedia Strategy Survey 2017. This survey was prepared by Sören Auer and the DBpedia Board members to get to know what the DBpedia Community thinks about DBpedia’s strategic priorities and how the funds of the DBpedia Association should be spent. Even if 45 minutes were not adequate to review all survey questions, this session proved to be beneficial due to a really agile and dynamic discussion. A better cooperation and communication between the Association and the different national and language chapter is only one suitable key which was embraced by the community to facilitate problem solving and DBpedia’s organization.
The sessions in the afternoon highlighted two important fields of research and development, namely DBpedia Ontology and DBpedia & NLP. At the DBpedia Ontology Session, Gustavo Publio (AKSW/KILT) presented data quality issues in DBpedia and highlighted the challenges on redesign the DBpedia Ontology (slides). Wouter Maroy (imec) and Ismael Rodríguez (Polytechnic University of Catalonia) showcased the DBpedia Mappings Front-End Administration, which they created during this year’s Google Summer of Code project. If you are interested in career opportunities at DBpedia, check out Wouter’s success story here.
At the same time, Milan Dojchinovski (AKSW/KILT) chaired the DBpedia & NLP session with five very interesting talks. In the following you will find all presentations given during this session:
DBpedia Spotlight 1.0 – A new Release by Sandro Coelho (DBpedia Association) slides
TextExt winner – Lector: RDF Triples Extraction from Wikipedia Text by Matteo Cannaviccio, Roma Tre University slides
Chaudron: Extending DBpedia with Measures by Julien Subercaze, Télécom Saint-Etienne & Université Jean Monnet slides
Dutch DBpedia Hour & Joint Workshop
Enno Meijers (National Library of the Netherlands) chaired the Dutch DBpedia Hour. In this open session members of the Dutch DBpedia Language Chapter discussed tasks and responsibilities for sustaining and developing the Dutch DBpedia as well as communication, technical infrastructure and content improvement of the DBpedia Dutch Language Chapter. The reference for this discussion was the tasks and responsibilities stated in the Memorandum of Understanding signed by Huygens ING, Koninklijke Bibliotheek, Vrije Universiteit Amsterdam, iMec and Beeld en Geluid. Outcome of this session was an agreement on the approach for creating an operational plan.
Simultaneously, DBpedia joint a session with the Workshop “Linked Data Quality Assessment and Improvement from Academia to Industry”. The presentations are available below:
In the closing session, Sebastian Hellmann (AKSW/KILT) announced a new collaboration to strengthen the DBpedia NLP Department. Via videostream we talked with Mike Tung and Filipe Mesquita from diffbot, about NLP and the relation extraction from Wikipedia articles. If you are interested in the new collaboration, please check diffbot’s slides here.
All slides and presentations are also available on our Website and you will find more feedback and photos about the event on Twitter via #DBpediaAmsterdam17.
We would like to thank the DBpedia Dutch language chapter, especially Enno Meijers (National Library of the Netherlands), Lieke Verhelst (Linked Data Factory, Informagic), Victor de Boer (Vrije Universiteit Amsterdam), Roland Cornelissen (metamatter), Gerald Wildenbeest (Saxion), Gerard Kuys (Ordina), Maarten Brinkerink (The Netherlands Institute for Sound and Vision) as well as Julia Holze (DBpedia Association), Dimitris Kontokostas (DBpedia Chapter Coordinator) and Sebastian Hellmann (AKSW/KILT, DBpedia Association) for devoting their time to curating the program and organizing the meeting.
Special thanks go to Katharina Weissenberg and Anna Keil for supporting the meeting by taking pictures of the community and the event.
We are now looking forward to the 11th DBpedia Community Meeting which will be held on 12th of October 2017 in Cupertino, California. Visit our event page for further updates.
We are very pleased to announce that all of this year’s Google Summer of Code students made it successful through the program and passed their projects. All codes have been submitted, merged and are ready to be examined by the rest of the world.
Marco Fossati, Dimitris Kontokostas, Tommaso Soru, Domenico Potena, Emanuele Storti , anastasia Dimiou, Wouter Maroy, Peng Xu, Sandro Coelho and Ricardo Usbeck, members of the DBpedia Community, did a great job in mentoring 7 students from around the world.All of the students enjoyed the experiences made during the program and will hopefully continue to contribute to DBpedia in the future.
“GSoC is the perfect opportunity to learn from experts, get to know new communities, design principles and work flows.” (Ram G Athreya)”
Now, we would like to take that opportunity to give you a little recap of the projects mentored by DBpedia members during the past months. Just click below for more details .
The goal of the project was to create a front-end application that provides a user-friendly interface so the DBPedia community can easily view, create and administrate DBpedia mapping rules using RML. The developed system includes user administration features, help posts, Github mappings synchronization, and rich RML related features such as syntax highlighting, RML code generation from templates, RML validation, extraction and statistics. Part of these features are possible thanks to the interaction with the DBPedia Extraction Framework. In the end, all the functionalities and goals that were required have been developed, with many functional tests and the approval of the DBpedia community. The system is ready for production deployment. For further information, please visit the project blog. Mentors: Anastasia Dimou and Wouter Maroy (Ghent University), Dimitris Kontokostas (GeoPhy HQ).
DBpedia Chatbot is a conversational chatbot for DBpedia which is accessible through the following platforms: a Web Interface, Slack and Facebook Messenger.
The bot is capable of responding to users in the form of simple short text messages or through more elaborate interactive messages. Users can communicate or respond to the bot through text and also through interactions (such as clicking on buttons/links). The bot tries to answer text based questions of the following types: natural language questions, location information, service checks, language chapters, templates and banter. For more information, please follow the link to the project site.Mentor: Ricardo Usbeck (AKSW).
Knowledge base embeddings has been an active area of research. In recent years a lot of research work such as TransE, TransR, RESCAL, SSP, etc. has been done to get knowledge base embeddings. However none of these approaches have used DBpedia to validate their approach. In this project, I want to achieve the following tasks: i) Run the existing techniques for KB embeddings for standard datasets. ii) Create an equivalent standard dataset from DBpedia for evaluations. iii) Evaluate across domains. iv) Compare and Analyse the performance and consistency of various approaches for DBpedia dataset along with other standard datasets. v) Report any challenges that may come across implementing the approaches for DBpedia. For more information, please follow the links to her project blog and GitHub-repository.Mentors: Tommaso Soru (AKSW) and Sandro Coelho (KILT).
The project defined embeddings to represent classes, instances and properties by implementing Random Vector Accumulators with additional features in order to better encode the semantic information held by the Wikipedia corpus and DBpedia graphs. To test the quality of embeddings generated by the RVA, lexical memory vectors of locations were generated and tested on a modified subset of the Google Analogies Test Set. Check out further information via Akshay’s GitHub-repo. Mentors: Tommaso Soru (AKSW) and Xu Peng (University of Alberta).
Wikipedia is full of data hidden in tables. The aim of this project was to explore the possibilities of exploiting all the data represented with the appearance of tables in Wiki pages, in order to populate the different chapters of DBpedia through new data of interest. The Table Extractor has to be the engine of this data “revolution”: it would achieve the final purpose of extracting the semi structured data from all those tables now scattered in most of the Wiki pages. In this page you can observe dataset (english and italian) extracted using table extractor . Furthermore you can read log file created in order to see all operations made up for creating RDF triples. I recommend to also see this page, that contains the idea behind the project and an example of result extracted from log files and .ttl dataset. For more details see Luca’s Git-Hub repository.Mentors: Domenico Potena and Emanuele Storti (Università Politecnica delle Marche).
Wikipedia represents a comprehensive cross-domain source of knowledge with millions of contributors. The DBpedia project tries to extract structured information from Wikipedia and transform it into RDF.
The main classification system of DBpedia depends on human curation, which causes it to lack coverage, resulting in a large amount of untyped resources. DBTax provides an unsupervised approach that automatically learns a taxonomy from the Wikipedia category system and extensively assigns types to DBpedia entities, through the combination of several NLP and interdisciplinary techniques. It provides a robust backbone for DBpedia knowledge and has the benefit of being easy to understand for end users. details about his work and his code can e found on the projects site. Mentors: Marco Fossati (Università degli Studi di Trento) and Dimitris Kontokostas (GeoPhy HQ).
This project aimed to augment upon the already existing list-extractor project by Federica in GSoC 2016. The project focused on the extraction of relevant but hidden data which lies inside lists in Wikipedia pages. Wikipedia, being the world’s largest encyclopedia, has humongous amount of information present in form of text. While key facts and figures are encapsulated in the resource’s infobox, and some detailed statistics are present in the form of tables, but there’s also a lot of data present in form of lists which are quite unstructured and hence its difficult to form into a semantic relationship. The main objective of the project was to create a tool that can extract information from Wikipedia lists and form appropriate RDF triplets that can be inserted in the DBpedia dataset. Fore details on the code and about the project check Krishanu’s blog and GitHub-repository.Mentors: Marco Fossati (Università degli Studi di Trento), Domenico Potena and Emanuele Storti (Università Politecnica delle Marche).
We are regularly growing our community through GSoC and can deliver more and more opportunities to you. Ideas and applications for the next edition of GSoC are very much welcome. Just contact us via email or check our website for details.
Again, DBpedia is planning to be a vital part of the GSoC Mentor Summit, from October 13th -15th, at the Google Campus in Sunnyvale California. This summit is a way to say thank you to the mentors for the great job they did during the program. Moreover it is a platform to discuss what can be done to improve GSoC and how to keep students involved in their communities post-GSoC.
And there is more good news to tell. DBpedia wants to meet up with the US community during the 11th DBpedia Community Meeting in California. We are currently working on the program and keep you posted as soon as registration is open.
We are happy to announce that the 10th DBpedia Community Meeting will be held in Amsterdam, Netherlands. During the SEMANTiCS 2017, Sep 11-14, the DBpedia Community will get together on the 14th of September for the DBpedia Day.
What cool things do you do with DBpedia? Present your tools and datasets at the DBpedia Community Meeting. Please submit your proposal in our form.
– Where: Meervaart Theatre, Meer en Vaart 300, 1068 LE Amsterdam, Netherlands
– Call for Contribution: Please submit your proposal in our form.
– Attending the DBpedia Community Meeting costs €40 (excl. registration fee and VAT). DBpedia members get free admission, please contact your nearest DBpedia chapter or the DBpedia Association for a promotion code.
If you can’t stand it till the end of the SEMANTiCS, you can already participate in the workshop “Two worlds, one goal: A Reliable Linked Data ecosystem for media” held by DBpedia and Wolters Kluwer on the 11th of September. This half-day workshop aims at exploring major topics for publishers and libraries from DBpedia’s and Wolters Kluwer’s perspective. Therefore, both communities will dive into core areas like Interlinking, Metadata and Data Quality and address challenges such as fundamental requirements when publishing data on the web. Did we spark your interest? Check our detailed program here and get your ticket today.
After our 2nd Community Meeting in the US, we delighted the Irish DBpedia Community with the 9th DBpedia Community Meeting, which was co-located with the Language, Data and Knowledge Conference 2017 in Galway at the premises of the NUI Galway.
First and foremost, we would like to thank John McCrae (Insight Centre for Data Analytics, NUI Galway) and the LDK Conference for co-hosting and support the event.
The focus of this Community Meeting was the Irish DBpedia and Linked Data Community in Ireland. Therefore we invited local data scientists as well as European DBpedia enthusiasts to discuss the state of Irish Linked Data.
The meeting started with two compelling keynotes by Brian Ó Raghallaigh, Dublin City University and Logainm.ie, and Sharon Flynn, NUI Galway and Wikimedia Ireland. Brian presented Logainm.ie, a data use case about placenames in Ireland with a special focus on linked Logainm and machine-readable data.
His insightful presentation was followed by Sharon Flynn talking about Wikimedia in Ireland and the challenges of “this monumental undertaking” with particular reference to the Wikimedia Community in Ireland.
For more details on the content of the presentations, follow the links to the slides.
As a regular part of the DBpedia Community Meeting we have two parallel sessions in the afternoon where DBpedia newbies can learn about what DBpedia is and how to use the DBpedia data sets.
Participants who wanted to learn DBpedia basics joined the DBpedia Tutorial Session byMarkus Freudenberg (DBpedia Release Manager). The DBpedia Association Hour provided a platform for the community to discuss and give feedback.
Additionally, Sebastian Hellmann and Julia Holze, members of the DBpedia Association, updated the participants about the growing number of the DBpedia Association members, the formalized DBpedia language chapters, the established DBpedia Community Committee and they informed about technical developments such as the DBpedia API.
Ontology Engineering and Software Alignment in the ALIGNED Project
The afternoon session started with the DBpedia 2016-10 release update by Markus Freudenberg (DBpedia Release Manager). Following this, Kevin Chekov Feeney, (Trinity College Dublin) presented the software alignment in the ALIGNED project. He talked about “Generating correct-by-construction semantic datasets from unstructured, semi-structured and badly structured data sources”.
At this point, we also like to thank the ALIGNED project for the development ofDBpedia as a project use case and for covering parts of the travel cost.
Session about Irish Linked Data Projects
Chaired by Rob Brennan and Bianca Pereira, the speakers in the last session presented new Irish Linked Data Projects, for example GeoHive, BIOOPENER and the TCD Open Linked Data Engagement Fund Project. The following panel session gave DBpedia and Linked Data enthusiasts a platform for exchange and discussion. Outcome of this session was the creation of a roadmap for the Irish Linked Data with all participants.
Following, you find a list of all presentations of this session:
Closing this session John McCrae announced that the next edition of the Language, Data and Knowledge (LDK) Conference is scheduled for 2019 in Germany. We at the DBpedia Association are now looking forward to welcome the LDK Community in Leipzig!
Social Evening Event
The Community Meeting slowly came to an end with our social evening event, which was held at the PorterShed in Galway. The evening session revolved around the topic How to exploit data commercially? and featured two short impulse talks. Paul Buitelaar started the session by presenting “Kibi”, which is an Open Source platform for Data Intelligence based on the search engine Elasticsearch. Finally, Sebastian Hellmann talked about “Improving the Utility of DBpedia by co-designing a public and commercial DBpedia API” (slides).
Summing up, the 9th DBpedia Community Meeting brought together more than 45 DBpedia enthusiasts from Ireland and Europe who engaged in vital discussions about Linked Data, DBpedia use cases and services.
Special thanks go to LDK 2017 for hosting the meeting.
Thanks Ireland and hello Amsterdam!
We are looking forward to the next DBpedia Community Meeting which will be held in Amsterdam, Netherlands. Co-located with the SEMANTiCS17, the Community will get together on the 14th of September on the DBpedia Day.
We are happy to announce that the 9th DBpedia Community meeting will be held in Galway, Ireland on June 21st 2017. DBpedia will be part of the Language, Data and Knowledge conference (LDK) in Galway. This new biennial conference series aims at bringing together researchers from across disciplines. The DBpedia Meeting is part of the conference and is scheduled for the last day.
Only few seats are left: So come and get your ticket to be part of the 9th DBpedia Community meeting in Galway.
Keynote #1: Logainm.ie data use cases by Brian Ó Raghallaigh (Dublin City University & Logainm)
Keynote #2: Wikimedia in Ireland: A Monumental Undertaking by Sharon Flynn (NUI Galway & Wikimedia Ireland)
DBpedia Association hour
A session about Irish Linked data projects (and DBpedia)
The social event will be held in the evening (starting at 6pm) at the PorterShed around the topic How to exploit data commercially? featuring several short impulse talks. We still have some remaining slots and would welcome you to present your success stories as well as use cases, but also tell us about your problems regarding the commercialisation of data. If you are interested in presenting, please email firstname.lastname@example.org.
DBpedia will participate for a fifth time in the Google Summer of Code program (GSoC) and now we are looking for students who will share their ideas with us. We are regularly growing our community through GSoC and can deliver more and more opportunities to you. We got excited with our new ideas, we hope you will get excited too!
What is GSoC?
Google Summer of Code is a global program focused on bringing more student developers into open source software development. Funds will given to students (BSc, MSc, PhD) to work for three months on a specific task. At first open source organizations announce their student projects and then students should contact the mentor organizations they want to work with and write up a project proposal for the summer. After a selection phase, students are matched with a specific project and a set of mentors to work on the project during the summer.