Monthly Archives: July 2017

Failte, Éirinn go Brách

Thanks to LDK2017 for co-hosting the DBpedia Community Meeting

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.

Brian Ó Raghallaigh

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.

Sharon Flynn

For more details on the content of the presentations, follow the links to the slides.

Brian’s and Sharon’s slides

 

 

Showcase Session

Eoin McCuirc

Eoin McCuirc started the DBpedia Showcase Session “MY sweet LOD”, an insightful presentation on Linked Open Data in Ireland from the perspective of a statistics office.

Shortly after, Ronald Stamper, Chairman of Measur Ltd. elaborated on semantic normal form, ontologies and the perils of paradigm change.

Ben de Meester

Ben De Meester, from Ghent University, presented the first DBpedia Showcase about Declarative Data Transformation for Linked Data Generation.

Followed by another showcase by Alan Meehan, presenting the SUMMR Interlink Validation tool which validates Interlinks from a source dataset to multiple targets.

Fred Durao

Closing the Showcase Session,  Frederico Araujo Durao, Insight Centre for Data Analytics – University College Cork (UCC), presented a demo of his linked data browser.

 

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

Parallel sessions

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.

Markus Freudenberg giving a DBpedia Tutorial

 

Participants who wanted to learn DBpedia basics joined the DBpedia Tutorial Session by Markus Freudenberg (DBpedia Release Manager). The DBpedia Association Hour provided a platform for the community to discuss and give feedback.

 

 

Sebastian Hellman and Julia Holze @ the DBpedia Association Hour

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”.

Kevin Feeney – ALIGNED

 

 

At this point, we also like to thank the ALIGNED project for the development of DBpedia 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.

You can find feedback about the event on Twitter via  #DBpediaGalway17.

We would like to thank Bianca Pereira and Caoilfhionn Lane from Insight Centre for Data Analytics, NUI Galway, as well Rob Brennan from ADAPT Research Centre, Trinity College Dublin, for devoting their time to curating the program organizing the meeting.

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.

 

Check our website for further updates, follow us on #twitter or subscribe to our newsletter.

Your DBpedia Association

Results of the DBpedia Strategy Survey 2017

Sören Auer and the DBpedia Board members prepared a survey to assess the direction of the DBpedia Association. We wanted to know what the DBpedia Community thinks about DBpedia’s strategic priorities and how the funds of the DBpedia Association are be spent. Between February 2017 and April 2017, a total of 40 members of the DBpedia Community actively participated in the survey and voted as follows:

1. What should be the priorities of the DBpedia Association in the next year?

To overview the various priorities which were mentioned, the following digest illustrates the answers in four different groups. The most frequent answer was: to increase the data quality, followed by the enlargement of the DBpedia Community through broader dissemination.

2. What should be the priorities of the DBpedia Association in the next three years?

In contrast to question one, this one is based on the priorities the DBpedia Association focuses on during the next three years. As well as in the previous overview, the specified priorities are divided into four categories.

3. What is your main interest in DBpedia?

The chart above depicts the several main interests in DBpedia. The majority of participants have an “academic & professional” (45.7%) interest in DBpedia, followed by “professional” (28.6%) and “academic” (20.0%) interests. Only 2.9% of the answers are student-related interests.

4. How should the funds of the association be used?

With respects to “How should the funds of the association be used?”, most attendees chose “service provisioning”. The “development of new DBpedia features” was the second most popular choice. Nevertheless, also “Community building” and “release production” scored many votes.

5. How should the DBpedia Association collaborate with national/language chapters?

  • Agreeing on strategic goals; making sure that national contributions can be spread to other chapters, thus increasing the overall usability of DBpedia; keeping track of good practices
  • Facilitating grassroots initiatives – so mainly promote and stimulate national/language initiatives
  • Local events related to DBpedia tasks
  • Regular events to share ideas and data
  • Join other languages members onto DBpedia
  • As an umbrella organization: support, mediation, and representation
  • Regular exchange and involvement
  • Consult, try to figure out common priorities

6. Should DBpedia open itself to contain and curate more data not directly extracted from Wikipedia?As the chart above clearly depicts, more than half of the participants are in favor of DBpedia comprising datasets not directly derived or extracted from Wikipedia. In contrast, 34.3% have the oppositional opinion and appreciate  DBpedia focussing solely on data extraction from Wikipedia.

  • If yes, which other datasets should DBpedia prioritize for fusion to improve its coverage and quality?

7. Which of the following features do you consider most important?

The following diagram gives a review of particular features and their importance from the participants point of view. As the result of question one reveals, data quality is considered the most important issue by the survey participants (23.7%). The second most important features, with 17.2% each, are: the provision of datasets extracted from the Wikipedia article text, substantial collaboration/integration with WikiData and a provision of better search, respectively an exploration of user interfaces.

8. Any other question, feedback, opinion, ideas or suggestion you would like to send to the association.

  • KUTGW
  • Increased support of non-RDF publication formats is probably wise as an insurance policy that DBpedia will stay relevant.
  • In users mailing-list being more open-minded in an easy manner and always signalling provocative postings are welcome. And I fear it is a bit late for this survey, but better late than never, my greetings to all making some thoughts about this stuff.
  • DBpedia Spotlight should return Wikidata URIs by default, for stability
  • Use a richer ontology without contradictions, e.g. Book-Physical vs. Book-Conceptual Work

Thank you for your input and your participation! Your priorities and opinions are of vital importance for the success of DBpedia in the future. We will discuss the implementation of your answers during our next DBpedia Board Meetings in order to find a reasonable strategic direction of the DBpedia Association for the next years.

Check our website for further updates, follow us on #twitter or subscribe to our newsletter.

Your

DBpedia Association

New DBpedia Release – 2016-10

We are happy to announce the new DBpedia Release.

This release is based on updated Wikipedia dumps dating from October 2016.

You can download the new DBpedia datasets in N3 / TURTLE serialisation from http://wiki.dbpedia.org/downloads-2016-10 or directly here http://downloads.dbpedia.org/2016-10/.

This release took us longer than expected. We had to deal with multiple issues and included new data. Most notable is the addition of the NIF annotation datasets for each language, recording the whole wiki text, its basic structure (sections, titles, paragraphs, etc.) and the included text links. We hope that researchers and developers, working on NLP-related tasks, will find this addition most rewarding. The DBpedia Open Text Extraction Challenge (next deadline Mon 17 July for SEMANTiCS 2017) was introduced to instigate new fact extraction based on these datasets.

We want to thank anyone who has contributed to this release, by adding mappings, new datasets, extractors or issue reports, helping us to increase coverage and correctness of the released data.  The European Commission and the ALIGNED H2020 project for funding and general support.

You want to read more about the  New Release? Click below for further  details.

 Statistics

Altogether the DBpedia 2016-10 release consists of 13 billion (2016-04: 11.5 billion) pieces of information (RDF triples) out of which 1.7 billion (2016-04: 1.6 billion) were extracted from the English edition of Wikipedia, 6.6 billion (2016-04: 6 billion) were extracted from other language editions and 4.8 billion (2016-04: 4 billion) from Wikipedia Commons and Wikidata.

In addition, adding the large NIF datasets for each language edition (see details below) increased the number of triples further by over 9 billion, bringing the overall count up to 23 billion triples.

Changes

  • The NLP Interchange Format (NIF) aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. To extend the versatility of DBpedia, furthering many NLP-related tasks, we decided to extract the complete human- readable text of any Wikipedia page (‘nif_context’), annotated with NIF tags. For this first iteration, we restricted the extent of the annotations to the structural text elements directly inferable by the HTML (‘nif_page_structure’). In addition, all contained text links are recorded in a dedicated dataset (‘nif_text_links’).
    The DBpedia Association started the Open Extraction Challenge on the basis of these datasets. We aim to spur knowledge extraction from Wikipedia article texts in order to dramatically broaden and deepen the amount of structured DBpedia/Wikipedia data and provide a platform for benchmarking various extraction tools with this effort.
    If you want to participate with your own NLP extraction engine, the next deadline for the SEMANTICS 2017 is July 17th.
    We included an example of these structures in section five of the download-page of this release.
  • A considerable amount of work has been done to streamline the extraction process of DBpedia, converting many of the extraction tasks into an ETL setting (using SPARK). We are working in concert with the Semantic Web Company to further enhance these results by introducing a workflow management environment to increase the frequency of our releases.

In case you missed it, what we changed in the previous release (2016-04)

  • We added a new extractor for citation data that provides two files:
    • citation links: linking resources to citations
    • citation data: trying to get additional data from citations. This is a quite interesting dataset but we need help to clean it up
  • In addition to normalised datasets to English DBpedia (en-uris), we additionally provide normalised datasets based on the DBpedia Wikidata (DBw) datasets (wkd-uris). These sorted datasets will be the foundation for the upcoming fusion process with wikidata. The DBw-based uris will be the only ones provided from the following releases on.
  • We now filter out triples from the Raw Infobox Extractor that are already mapped. E.g. no more “<x> dbo:birthPlace <z>” and “<x> dbp:birthPlace|dbp:placeOfBirth|… <z>” in the same resource. These triples are now moved to the “infobox-properties-mapped” datasets and not loaded on the main endpoint. See issue 22 for more details.
  • Major improvements in our citation extraction. See here for more details.
  • We incorporated the statistical distribution approach of Heiko Paulheim in creating type statements automatically and providing them as additional datasets (instance_types_sdtyped_dbo).

 

Upcoming Changes

  • DBpedia Fusion: We finally started working again on fusing DBpedia language editions. Johannes Frey is taking the lead in this project. The next release will feature intermediate results.
  • Id Management: Closely pertaining to the DBpedia Fusion project is our effort to introduce our own Id/IRI management, to become independent of Wikimedia created IRIs. This will not entail changing out domain or entity naming regime, but providing the possibility of adding entities of any source or scope.
  • RML Integration: Wouter Maroy did already provide the necessary groundwork for switching the mappings wiki to an RML based approach on Github. Wouter started working exclusively on implementing the Git based wiki and the conversion of existing mappings last week. We are looking forward to the consequent results of this process.
  • Further development of SPARK Integration and workflow-based DBpedia extraction, to increase the release frequency.

 

New Datasets

  • New languages extracted from Wikipedia:

South Azerbaijani (azb), Upper Sorbian (hsb), Limburgan (li), Minangkabau (min), Western Mari (mrj), Oriya (or), Ossetian (os)

  • SDTypes: We extended the coverage of the automatically created type statements (instance_types_sdtyped_dbo) to English, German and Dutch.
  • Extensions: In the extension folder (2016-10/ext) we provide two new datasets (both are to be considered in an experimental state:
    • DBpedia World Facts: This dataset is authored by the DBpedia Association itself. It lists all countries, all currencies in use and (most) languages spoken in the world as well as how these concepts relate to each other (spoken in, primary language etc.) and useful properties like iso codes (ontology diagram). This Dataset extends the very useful LEXVO dataset with facts from DBpedia and the CIA Factbook. Please report any error or suggestions in regard to this dataset to Markus.
    • JRC-Alternative-Names: This resource is a link based complementary repository of spelling variants for person and organisation names. The data is multilingual and contains up to hundreds of variations entity. It was extracted from the analysis of news reports by the Europe Media Monitor (EMM) as available on JRC-Names.

 Community

The DBpedia community added new classes and properties to the DBpedia ontology via the mappings wiki. The DBpedia 2016-04 ontology encompasses:

  • 760 classes
  • 1,105 object properties
  • 1,622 datatype properties
  • 132 specialised datatype properties
  • 414 owl:equivalentClass and 220 owl:equivalentProperty mappings external vocabularies

The editor community of the mappings wiki also defined many new mappings from Wikipedia templates to DBpedia classes. For the DBpedia 2016-10 extraction, we used a total of 5887 template mappings (DBpedia 2015-10: 5800 mappings). The top language, gauged by the number of mappings, is Dutch (648 mappings), followed by the English community (606 mappings).

Read more

 Credits to

  • Markus Freudenberg (University of Leipzig / DBpedia Association) for taking over the whole release process and creating the revamped download & statistics pages.
  • Dimitris Kontokostas (University of Leipzig / DBpedia Association) for conveying his considerable knowledge of the extraction and release process.
  • All editors that contributed to the DBpedia ontology mappings via the Mappings Wiki.
  • The whole DBpedia Internationalization Committee for pushing the DBpedia internationalization forward.
  • Václav Zeman and the whole LHD team (University of Prague) for their contribution of additional DBpedia types
  • Alan Meehan (TCD) for performing a big external link cleanup
  • Aldo Gangemi (LIPN University, France & ISTC-CNR, Italy) for providing the links from DOLCE to DBpedia ontology.
  • SpringerNature for offering a co-internship to a bright student and developing a closer relation to DBpedia on multiple issues, as well as Links to their SciGraph subjects.
  • Kingsley Idehen, Patrick van Kleef, and Mitko Iliev (all OpenLink Software) for loading the new data set into the Virtuoso instance that provides 5-Star Linked Open Data publication and SPARQL Query Services.
  • OpenLink Software (http://www.openlinksw.com/) collectively for providing the SPARQL Query Services and Linked Open Data publishing infrastructure for DBpedia in addition to their continuous infrastructure support.
  • Ruben Verborgh from Ghent University – imec for publishing the dataset as Triple Pattern Fragments, and imec for sponsoring DBpedia’s Triple Pattern Fragments server.
  • Ali Ismayilov (University of Bonn) for extending and cleaning of the DBpedia Wikidata dataset.
  • All the GSoC students and mentors which have directly or indirectly worked on the DBpedia release
  • Special thanks to members of the DBpedia Association, the AKSW and the Department for Business Information Systems of the University of Leipzig.

The work on the DBpedia 2016-10 release was financially supported by the European Commission through the project ALIGNED – quality-centric, software and data engineering.

More information about DBpedia is found at http://dbpedia.org as well as in the new overview article about the project available at http://wiki.dbpedia.org/Publications.

Have fun with the new DBpedia 2016-10 release!