DBpedia version 2016-10

Dataset category: 
DBpedia release
Publication Year: 
2017

DBpedia is now producing monthly releases on the Databus: Monthly Dataset Releases

 

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.

 

Join and support DBpedia

The active community of developers and engineers comes together in the DBpedia Community Committee. We will extend this Committee with the help of Pablo Mendes and Magnus Knuth. Students wishing to join should be or become a member of the DBpedia Association. Please check all benefits and details on our website.

Every first Wednesday of the month we organise regular development online meetings. You can join the next DBpedia dev telco on Wednesday, 5th of July (@ 2 pm CET). All info regarding the telco can be found here: http://tinyurl.com/DBpediaDevMinutes.

How to contribute links to DBpedia? Links are the key enabler for retrieval of related information on the Web of Data and DBpedia is one of the central interlinking hubs in the LOD cloud. If you're interested in contributing links and to learn more about the project, please visit https://github.com/dbpedia/links.  Contributing to our mappings between Wikipedia and DBpedia ontology is also a valuable input to future releases.

Do you have any questions concerning DBpedia and Linked Data? You can ask us on our support page (Sign up required for posting). If you already are a user of DBpedia you can help us by answering some DBpedia-related questions: http://support.dbpedia.org.

 

Statistics

The English version of the DBpedia knowledge base currently describes 6.6M entities of which 4.9M have abstracts, 1.9M have geo coordinates and 1.7M depictions. In total, 5.5M resources are classified in a consistent ontology, consisting of 1.5M persons, 840K places (including 513K populated places), 496K works (including 139K music albums, 111K films and 21K video games), 286K organizations (including 70K companies and 55K educational institutions), 306K species, 58K plants and 6K diseases. The total number of resources in English DBpedia is 18M that, besides the 6.6M resources, includes 1.7M skos concepts (categories), 7.7M redirect pages, 269K disambiguation pages and 1.7M intermediate nodes.

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.

 

(Breaking) 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).

 

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.

  • Robert Belinski for helping with the development in general and the debugging of the UriToIri script in particular.

  • 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 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!