As previous years, we would like your input for DBpedia related project ideas for GSoC 2017.
For those who are unfamiliar with GSoC (Google Summer of Code), Google pays students (BSc, MSc, PhD) to work for 3 months on an open source project. Open source organizations announce their student projects and students apply for projects they like. After a selection phase, students are matched with a specific project and a set of mentors to work on the project during the summer.
After our successful meeting in Poznan in 2015, we thought it is time to meet the Polish DBpedia community again. The DBpedia meetup will be held on 22th of November 2016 at the Poznań University of Economics and Business. This meetup aims at the presentation of semantic web technologies and their use in applications by entrepreneurs.
After the largest DBpedia meeting to date we decided it was time to cross the Atlantic for the second time for another meetup. Two weeks ago the 8th DBpedia Community Meeting was held in Sunnyvale, California on October 27th 2016.
Pablo Mendes from Lattice Data Inc. opened the main event with a short introduction setting the tone for the evening. After that Dimitris Kontokostas gave technical and organizational DBpedia updates. The main event attracted attendees with lightning talks from major companies actively using DBpedia or interested in knowledge graphs in general.
Four major institutions described their efforts to organize reusable information in a centralized knowledge representation. Google’s Tatiana Libman presented (on behalf of Denny Vrandečić) the impressive scale of the Google Knowledge graph, with 1B+ entities and over 100 billion facts.
Yahoo’s Nicolas Torzec presented the Yahoo knowledge graph, with focus on their research on extracting data from Web tables to expand their knowledge which includes DBpedia as an important part. Qi He from LinkedIn focused mostly on how to model a knowledge graph of people and skills, which becomes particularly interesting with the possibility of integration with Microsoft’s Satori Graph. Such an integration would allow general domain knowledge and very specific knowledge about professionals complementing one another. Stas Malyshev from Wikidata presented statistics on their growth, points of contact with DBpedia as well as an impressive SPARQL query interface that can be used to query the structured data that they are generating.
Three other speakers focused on the impact of DBpedia in machine learning and natural language processing. Daniel Gruhl from IBM Watson gave the talk “Truth for the impatient” where he showed that a knowledge model built from DBpedia can help costs and time to value for extracting entity mentions with higher accuracy. Pablo Mendes from Lattice Data Inc. presented their approach that leverages DBpedia and other structured information sources for weak supervision to obtain very strong NLP extractors. Sujan Perera from IBM Watson discussed the problem of identifying implicit mentions of entities in tweets and how the knowledge represented in DBpedia can be used to help uncover those references.
Another three speakers focused on applications of DBpedia and knowledge graphs. Margaret Warren from Metadata Authoring Systems, LLC presented ImageSnippets and how background knowledge from DBpedia allows better multimedia search through inference. For instance, by searching for “birds” you may find pictures that haven’t been explicitly tagged as birds but for which the fact can be inferred from DBpedia. Jans Aasman from Franz Inc presented their company’s approach to Data Exploration with Visual SPARQL Queries. They described opportunities for graph analytics in the medical domain, and discussed how DBpedia has been useful in their applications. Finally, Wang-Chiew Tan presented their research at RIT relating to building chatbots, among other projects that relate to using background knowledge stored in computers to enrich real life experiences.
Overall the talks were very high quality and fostered plenty of discussions afterwards. We finalized the event with a round of introductions where every attendee got to say their name and affiliation to help them connect with one another throughout the final hour of the event.
All slides and presentations are also available on ourWebsite and you will find more feedback and photos about the event on Twitter via #DBpediaCA.
Less than 24 hours left to reserve your seat for our 2nd US DBpedia Community meeting. The meeting will be held in Sunnyvale on October 27th 2016, hosted by Yahoo. Over 85 participants registered so far, we will offer 20 more tickets. So come and get your ticket to be part of this event.
The event will feature talks from Yahoo, IBM Watson, LinkedIn, Lattice, Wikimedia, Frank Inc, Knoesis, RIT and ImageSnippets. The topics will include knowledge graphs & machine learning, open data, open source and startups. Please read below on different ways you can participate. We are looking forward to meeting again in person with the US-based DBpedia community.
Very shortly after the largest DBpedia meeting to date we are crossing Atlantic for the second time. We are happy to announce that the 8th DBpedia Community Meeting will be held in Sunnyvale on October 27th 2016, hosted by Yahoo.
The event will feature talks from Yahoo, IBM Watson, LinkedIn and Lattice amongst others. The topics will include knowledge graphs & machine learning, open data, open source and startups.
Please read below on different ways you can participate. We are looking forward to meeting again in person with the US-based DBpedia community.
Attending the DBpedia Community meeting is free of charge, but seats are limited. Make sure to register to reserve a seat.
Call for Contribution
Please submit your proposal through our form. Contribution proposals may include (but are not limited to) presentations, demos, lightning talks, panels and session suggestions. We intend to accept as many proposals as possible in the available meeting time.
The meeting will take place at the Yahoo headquarters in Sunnyvale. Address: Yahoo! (Building E, 701 First Avenue, Sunnyvale, CA)
After the success of the last two community meetings in Palo Alto and in The Hague we thought it is time to meet in Leipzig, where the DBpedia Association is located. During the SEMANTiCS 2016 in Leipzig, Sep 12-15, the DBpedia community met on the 15th of September. First and foremost, we would like to thank the Institute for Applied Informatics for supporting our community, the University of Leipzig for hosting our meeting and many thanks to the SEMANTiCS for hosting and sponsoring the meeting.
During the opening session, Lydia Pintscher, product manager of Wikidata, presented Wikidata: bringing structured data to Wikipedia with 16000 volunteers. Lydia described similarities and varieties between DBpedia and Wikidata and she talked about prospective steps for Wikidata. Harald Sack from the Hasso-Plattner-Institut spoke during the opening session, too. He introduced the dwerft Project – DBpedia and Linked Data for the Media Value Chaintopics which aims the common technology platform »Linked Production Data Cloud«.
The DBpedia showcase session started with the DBpedia 2016-04 release update by Markus Freudenberg (AKSW/KILT). At this session, six speakers presented how to utilize DBpedia in novel and interesting ways. For example:
Miel Vander Sande (iMinds) talked about DBpedia Archives as Memento with Triple Pattern Fragments.
Jörn Hees (DFKI) introduced us to Human associations in the Semantic Web and DBpedia.
Peter de Laat from GoUnitive urged the community to personalize user interaction in a Linked Data environment.
DBpedia Association hour
The 7th edition of the community meeting covered the first DBpedia Association hour, which provided a platform for the community to discuss and give feedback. Sebastian Hellmann (AKSW, KILT), Julia Holze (DBpedia Association) and Dimitris Kontokostas (AKSW, KILT) gave an update on the DBpedia Association status. We talked about our technical progress, DBpedia funding and visions. Sebastian Hellmann introduced the Board of Trustees, which is the main decision-making body of the DBpedia Association and oversees the association and its work as its ultimate corporate authority.
Enno Meijers (KB) of the Dutch DBpedia chapter announced a successful cooperation between Huygens ING, iMinds/Univ. Gent, Vrije Universiteit Amsterdam, Institute for Sound and Vision, Koninklijke Bibliotheek (KB) and the NL-DBpedia community. By signing the Manifest of Understanding (MoU) they support the goals of the DBpedia Association officially and strengthen the Dutch chapter and community.
The sessions in the afternoon highlighted two important fields of research and development, namely DBpedia ontology and DBpedia & NLP. At the DBpedia ontology session, Wouter Maroy (iMinds) presented DBpedia RML mappings, which he created during this year’s Google Summer of Code project and Gerard Kuys (Ordina) discussed the question ‘Does extraction prelude structure?’ with the DBpedia ontology group. At the same time, Milan Dojchinovski (AKSW/KILT) chaired the DBpedia & NLP session with eight very interesting talks. You will find all presentations given during this session on our website. The last two presentations Analyzing and improving the Polish Wikipedia Citations (part of the Wikipedia References & Citations challenge) and Greek DBpedia updates were given by Krzysztof Węcel (Poznan University) and Sotiris Karampatakis (OKF Greece).
On the closing session we wrapped up the meeting and gave out our prizes to:
The “DBpedia Excellence in Engineering” went to Markus Freudenberg for keeping up with the DBpedia releases
The “Citations Challenge prize” went to Krzysztof Węcel for his very thorough citation analysis.
All slides and presentations are also available on our Website and you will find more feedback and photos about the event on Twitter via #DBpediaLeipzig2016.
Summing up, the event brought together more than 150 DBpedians from Europe which engaged in vital conversations about interesting projects and approaches to questions/problems revolving around DBpedia. We would like to thank the organizers Magnus Knuth (HPI, DBpedia German & Commons), Monika Solanki (University of Oxford) and representatives of the DBpedia Association such as Dimitris Kontokostas, Sebastian Hellmann and Julia Holze for devoting their time to the organization of the meeting and the program.
We are now looking forward to the 8th DBpedia Community Meeting (which most probably coming sooner than you think across the Atlantic). Check our website for further updates or follow #DBpedia on twitter.
During the SEMANTiCS 2016 in Leipzig, Sep 12-15, the DBpedia community will get together on the 15th of September for the 7th edition of the DBpedia Community Meeting. The meeting will take place at the University of Leipzig (Augustusplatz 10, 04109 Leipzig, Germany). See here for detailed directions.
Over 140 participants registered for the next DBpedia Community Meeting, only few seats are left. So come and get your ticket to be part of this event.
The 7th edition of this event covers the first DBpedia Association hour, which provide a platform for the community to discuss and give feedback. On top we will have a DBpedia showcase session on DBpedia+ Data Stack 2016-04 – Release and talks about Human associations in the Semantic Web and DBpedia, DBpedia Archives as Memento with Triple Pattern Fragments and Towards a Unified PageRank for DBpedia and Wikidata. Our event features a dev & tutorial session to learn about DBpedia as well as a DBpedia ontology session and a DBpedia & NLP session.
Lydia Pintscher, product manager of Wikidata will speak about Wikidata: bringing structured data to Wikipedia with 16000 volunteers and Harald Sack from the Hasso-Plattner-Institut will speak about the dwerft Project – DBpedia and Linked Data for the Media Value Chaintopics. At the end of the meeting there will be a session for the “DBpedia references and citations challenge”, submissions will be judged by the Organizing Committee and the best two will receive a prize.
Attending the DBpedia Community meeting is free, but you need to register here. Optionally, in case you like to support DBpedia with a little more than your presence during the event, you can choose a DBpedia support ticket. Have a look here:
This data holds huge potential, especially for the Wikidata challenge of providing a reference source for every statement. It describes not only a lot of bibliographical data, but also a lot of web pages and many other sources around the web.
The data we extract at the moment is quite raw and can be improved in many different ways. Some of the potential improvements are:
We welcome contributions that improve the existing citation dataset in any way; and we are open to collaboration and helping. Results will be presented at the next DBpedia meeting: 15 September 2016 in Leipzig, co-located with SEMANTiCS 2016. Each participant should submit a short description of his/her contribution by Monday 12 September 2016 and present his/her work at the meeting. Comments, questions can be posted on the DBpedia discussion & developer lists or in our new DBpedia ideas page.
Submissions will be judged by the Organizing Committee and the best two will receive a prize.
DBpedia Tutorial on Semantic Knowledge Integration in established Data (IT) Environments
Enriching data with a semantic layer and linking entities is key to what is loosely called Smart Data. An easy, yet comprehensive way of achieving this is the use of Linked Data standards.
In this DBpedia tutorial, we will introduce
the basic ideas of Linked Data and other Semantic Web standards
existing open datasets that can be freely reused (including DBpedia of course)
software and services in the DBpedia infrastructure such as the DBpedia SPARQL service, the lookup service and the DBpedia Spotlight Entity Linking service
common business use cases that will help to apply the learned lessons into practice
integration example into a hypothetical environment
In particular, we would like to show how to seamlessly integrate Linked Data technologies into existing IT- and data-environments and discuss how to link private corporate data knowledge graphs to DBpedia and Linked Open Data. Another special focus is on finding links in text and unstructured data.