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DBpedia+Spotlight accepted @ Google Summer of Code 2013

April 10, 2013 - 4:11 pm by DimitrisKontokostas - No comments »

Google Summer of Code (GSoC) is a global program that offers post-secondary student developers (ages 18 and older, BSc, MSc, PhD)  stipends to write code for various open source software projects. Since its inception in 2005, the program has brought together over 6,000 successful student participants and over 3,000 mentors from over 100 countries worldwide, all for the love of code.

DBpedia participated successfully in last’s year GSoC as DBpedia Spotlight. We were allowed with 4 students (out of a total 37 applications) and managed to enhance DBpedia Spotlight in time performance, accuracy and extra functionality.  We are thrilled to announce, that we were accepted again in GSoC 2013. We are participating with all DBpedia-family products this time - that is DBpedia, DBpedia Spotlight and DBpedia Wiktionary - and we hope we share the same luck, again.

This year we have  brand new and exciting ideas so, if you know energetic students (BSc, MSc, PhD) interested in working with DBpedia, text processing, and semantics, please encourage them to apply!

If you are a student, the application period starts in 2 weeks (deadline May 3rd). Judging from last year’s competition, writing a good application can be a really hard task so you should start preparing from now. We already created a dedicated mailing list and a few  warm-up tasks ( to get you familiar with our technologies) and we will of course be always available to any questions.

So go ahead, choose your idea, write your application and impress us;)

http://www.google-melange.com/gsoc/org/google/gsoc2013/dbpediaspotlight

On behalf of the DBpedia GSoC team,

Dimitris Kontokostas

DBpedia 3.8 released, including enlarged Ontology and additional localized Versions

August 6, 2012 - 3:48 pm by ChrisBizer - No comments »

Hi all,

we are happy to announce the release of DBpedia 3.8.


The most important improvements of the new release compared to DBpedia 3.7 are:

1. the new release is based on updated Wikipedia dumps dating from late May / early June 2012.
2. the DBpedia ontology is enlarged and the number of infobox to ontology mappings has risen.
3. the DBpedia internationalization has progressed and we now provide localized versions of DBpedia in even more languages.

The English version of the DBpedia knowledge base currently describes 3.77 million things, out of which 2.35 million are classified in a consistent
Ontology, including 764,000 persons, 573,000 places (including 387,000 populated places), 333,000 creative works (including 112,000 music albums, 72,000 films and 18,000 video games), 192,000 organizations (including 45,000 companies and 42,000 educational institutions), 202,000 species and 5,500 diseases.

We provide localized versions of DBpedia in 111 languages. All these versions together describe 20.8 million things, out of which 10.5 mio overlap (are interlinked) with concepts from the English DBpedia. The full DBpedia data set features labels and abstracts for 10.3 million unique things in 111 different languages; 8.0 million links to images and 24.4 million HTML links to external web pages; 27.2 million data links into external RDF data sets, 55.8 million links to Wikipedia categories, and 8.2 million YAGO categories. The dataset consists of 1.89 billion pieces of information (RDF triples) out of which 400 million were extracted from the English edition of Wikipedia, 1.46 billion were extracted from other language editions, and about 27 million are data links into external RDF data sets.

The main changes between DBpedia 3.7 and 3.8 are described below. For additional, more detailed information please refer to the change log.

1. Enlarged Ontology

The DBpedia community added many new classes and properties on the
mappings wiki. The DBpedia 3.8 ontology encompasses

  • 359 classes (DBpedia 3.7: 319)
  • 800 object properties (DBpedia 3.7: 750)
  • 859 datatype properties (DBpedia 3.7: 791)
  • 116 specialized datatype properties (DBpedia 3.7: 102)
  • 45 owl:equivalentClass and 31 owl:equivalentProperty mappings to
    http://schema.org


2. Additional Infobox to Ontology Mappings

The editors of the
mappings wiki also defined many new mappings from Wikipedia templates to DBpedia classes. For the DBpedia 3.8 extraction, we used 2347 mappings, among them

  • Polish: 382 mappings
  • English: 345 mappings
  • German: 211 mappings
  • Portuguese: 207 mappings
  • Greek: 180 mappings
  • Slovenian: 170 mappings
  • Korean: 146 mappings
  • Hungarian: 111 mappings
  • Spanish: 107 mappings
  • Turkish: 91 mappings
  • Czech: 66 mappings
  • Bulgarian: 61 mappings
  • Catalan: 52 mappings
  • Arabic: 51 mappings


3. New local DBpedia Chapters


We are also happy to see the number of local DBpedia chapters in different countries rising. Since the 3.7 DBpedia release we welcomed the French, Italian and Japanese Chapters. In addition, we expect the Dutch DBpedia chapter to go online during the next months (in cooperation with http://bibliotheek.nl/). The DBpedia chapters provide local SPARQL endpoints and dereferencable URIs for the DBpedia data in their corresponding language. The DBpedia Internationalization page provides an overview of the current state of the DBpedia Internationalization effort.

4. New and updated RDF Links into External Data Sources

We have added new RDF links pointing at resources in the following Linked Data sources: Amsterdam Museum, BBC Wildlife Finder, CORDIS, DBTune, Eurostat (Linked Statistics), GADM, LinkedGeoData, OpenEI (Open Energy Info). In addition, we have updated many of the existing RDF links pointing at other Linked Data sources.


5. New Wiktionary2RDF Extractor

We developed a DBpedia extractor, that is configurable for any Wiktionary edition. It generates an comprehensive ontology about languages for use as a semantic lexical resource in linguistics. The data currently includes language, part of speech, senses with definitions, synonyms, taxonomies (hyponyms, hyperonyms, synonyms, antonyms) and translations for each lexical word. It furthermore is hosted as Linked Data and can serve as a central linking hub for LOD in linguistics. Currently available languages are English, German, French, Russian. In the next weeks we plan to add Vietnamese and Arabic. The goal is to allow the addition of languages just by configuration without the need of programming skills, enabling collaboration as in the Mappings Wiki. For more information visit http://wiktionary.dbpedia.org/

6. Improvements to the Data Extraction Framework

  • Additionally to N-Triples and N-Quads, the framework was extended to write triple files in Turtle format
  • Extraction steps that looked for links between different Wikipedia editions were replaced by more powerful post-processing scripts
  • Preparation time and effort for abstract extraction is minimized, extraction time is reduced to a few milliseconds per page
  • To save file system space, the framework can compress DBpedia triple files while writing and decompress Wikipedia XML dump files while reading
  • Using some bit twiddling, we can now load all ~200 million inter-language links into a few GB of RAM and analyze them
  • Users can download ontology and mappings from mappings wiki and store them in files to avoid downloading them for each extraction, which takes a lot of time and makes extraction results less reproducible
  • We now use IRIs for all languages except English, which uses URIs for backwards compatibility
  • We now resolve redirects in all datasets where the objects URIs are DBpedia resources
  • We check that extracted dates are valid (e.g. February never has 30 days) and its format is valid according to its XML Schema type, e.g. xsd:gYearMonth
  • We improved the removal of HTML character references from the abstracts
  • When extracting raw infobox properties, we make sure that predicate URI can be used in RDF/XML by appending an underscore if necessary
  • Page IDs and Revision IDs datasets now use the DBpedia resource as subject URI, not the Wikipedia page URL
  • We use foaf:isPrimaryTopicOf instead of foaf:page for the link from DBpedia resource to Wikipedia page
  • New inter-language link datasets for all languages


Accessing the DBpedia 3.8  Release

You can download the new DBpedia dataset from
http://dbpedia.org/Downloads38.

As usual, the dataset is also available as Linked Data and via the DBpedia SPARQL endpoint at
http://dbpedia.org/sparql

Credits

Lots of thanks to

  • Jona Christopher Sahnwaldt (Freie Universität Berlin, Germany) for improving the DBpedia extraction framework and for extracting the DBpedia 3.8 data sets.
  • Dimitris Kontokostas (Aristotle University of Thessaloniki, Greece) for implementing the language generalizations to the extraction framework.
  • Uli Zellbeck and Anja Jentzsch (Freie Universität Berlin, Germany) for generating the new and updated RDF links to external datasets using the Silk interlinking framework.
  • Jonas Brekle (Universität Leipzig, Germany) and Sebastian Hellmann (Universität Leipzig, Germany)for their work on the new Wikionary2RDF extractor.
  • All editors that contributed to the DBpedia ontology mappings via the Mappings Wiki.
  • The whole Internationalization Committee for pushing the DBpedia internationalization forward.
  • Kingsley Idehen and Patrick van Kleef (both OpenLink Software) for loading the dataset into the Virtuoso instance that serves the Linked Data view and SPARQL endpoint. OpenLink Software (http://www.openlinksw.com/) altogether for providing the server infrastructure for DBpedia.

The work on the DBpedia 3.8 release was financially supported by the European Commission through the projects LOD2 - Creating Knowledge out of Linked Data (http://lod2.eu/, improvements to the extraction framework) and LATC - LOD Around the Clock (http://latc-project.eu/, creation of external RDF links).

More information about DBpedia is found at http://dbpedia.org/About

Have fun with the new DBpedia release!

Cheers,

Chris Bizer

DBpedia Spotlight has been selected for Google Summer of Code. Please apply now!

March 22, 2012 - 1:18 pm by ChrisBizer - No comments »

The Google Summer of Code (GSoC) is a global program that offers student developers (BSc,MSc,PhD) stipends to write code for open source software projects. It has had thousands of participants since the first edition in 2005, connecting prospective students with mentors from open source communities such as Debian, KDE, Gnome, Apache Software Foundation, Mozilla, etc.

For the students, it is a great chance to get real-world software development experience. For the open source communities, it is a chance to expand their development community. For everybody else, more source code is created and released for the benefit of all!

We are thrilled to announce that our open source project DBpedia Spotlight has been selected for the Google Summer of Code 2012.

We are now seeking students interested in working with us to enhance operational aspects of DBpedia Spotlight, as well as to engage in research activities in collaboration with our team. If you are an energetic developer, passionate for open source and interested in areas related to DBpedia Spotlight, please get in touch with us!

We have shared a number of project ideas to get you started.

To apply, visit: http://www.google-melange.com/gsoc/org/google/gsoc2012/dbpediaspotlight

If you would like to see DBpedia Spotlight in action, helping you to explore available projects within GSoC 2012, please visit our demonstration page at: http://spotlight.dbpedia.org/gsoc/


DBpedia 3.7 released, including 15 localized Editions

September 11, 2011 - 11:14 am by ChrisBizer - One comment »

Hi all,

we are happy to announce the release of DBpedia 3.7. The new release is based on Wikipedia dumps dating from late July 2011.

The new DBpedia data set describes more than 3.64 million things, of which 1.83 million are classified in a consistent ontology, including 416,000 persons, 526,000 places, 106,000 music albums, 60,000 films, 17,500 video games, 169,000 organizations, 183,000 species and 5,400 diseases.

The DBpedia data set features labels and abstracts for 3.64 million things in up to 97 different languages; 2,724,000 links to images and 6,300,000 links to external web pages; 6,200,000 external links into other RDF datasets, and 740,000 Wikipedia categories. The dataset consists of 1 billion pieces of information (RDF triples) out of which 385 million were extracted from the English edition of Wikipedia and roughly 665 million were extracted from other language editions and links to external datasets.

Localized Editions

Up till now, we extracted data from non-English Wikipedia pages only if there exists an equivalent English page, as we wanted to have a single URI to identify a resource across all 97 languages. However, since there are many pages in the non-English Wikipedia editions that do not have an equivalent English page (especially small towns in different countries, e.g. the Austrian village Endach, or legal and administrative terms that are just relevant for a single country) relying on English URIs only had the negative effect that DBpedia did not contain data for these entities and many DBpedia users have complained about this shortcoming.

As part of the DBpedia 3.7 release, we now provide 15 localized DBpedia editions for download that contain data from all Wikipedia pages in a specific language. These localized editions cover the following languages: ca, de, el, es, fr, ga, hr, hu, it, nl, pl, pt, ru, sl, tr. The URIs identifying entities in these i18n data sets are constructed directly from the non-English title and a language-specific URI namespaces (e.g. http://ru.dbpedia.org/resource/Berlin), so there are now 16 different URIs in DBpedia that refer to Berlin. We also extract the inter-language links from the different Wikipedia editions. Thus, whenever a inter-language links between a non-English Wikipedia page and its English equivalent exists, the resulting owl:sameAs link can be used to relate the localized DBpedia URI to the equivalent in the main (English) DBpedia edition. The localized DBpedia editions are provided for download on the DBpedia download page (http://wiki.dbpedia.org/Downloads37). Note that we have not provide public SPARQL endpoints for the localized editions, nor do the localized URIs dereference. This might change in the future, as more local DBpedia chapters are set up in different countries as part of the DBpedia internationalization effort (http://dbpedia.org/Internationalization).

Other Changes

Beside the new localized editions, the DBpedia 3.7 release provides the following improvements and changes compared to the last release:

1. Framework

  • Redirects are resolved in a post-processing step for increased inter-connectivity of 13% (applied for English data sets)
  • Extractor configuration using the dependency injection principle
  • Simple threaded loading of mappings in server
  • Improved international language parsing support thanks to the members of the Internationalization Committee: http://dbpedia.org/Internationalization

2. Bugfixes

  • Encode homepage URLs to conform with N-Triples spec
  • Correct reference parsing
  • Recognize MediaWiki parser functions
  • Raw infobox extraction produces more object properties again
  • skos:related for category links starting with “:” and having and anchor text
  • Restrict objects to Main namespace in MappingExtractor
  • Double rounding (e.g. a person’s height should not be 1800.00000001 cm)
  • Start position in abstract extractor
  • Server can handle template names containing a slash
  • Encoding issues in YAGO dumps

3. Ontology

  • 320 ontology classes
  • 750 object properties
  • 893 datatype properties
  • owl:equivalentClass and owl:equivalentProperty mappings to http://schema.org

Note that the ontology now is a directed-acyclic graph. Classes can have multiple superclasses, which was important for the mappings to schema.org. A taxonomy can still be constructed by ignoring all superclass but the one that is specified first in the list and is considered the most important.

4. Mappings

  • Dynamic statistics for infobox mappings showing the overall and individual coverage of the mappings in each language: http://mappings.dbpedia.org/index.php/Mapping_Statistics
  • Improved DBpedia Ontology as well as improved Infobox mappings using http://mappings.dbpedia.org/. These improvements are largely due to collective work by the community before and during the DBpedia Mapping Creation Sprint. For English, there are 17.5 million RDF statements based on mappings (13.8 million in version 3.6) (see also http://dbpedia.org/Downloads37#ontologyinfoboxproperties).
  • ConstantProperty mappings to capture information from the template title (e.g. Infobox_Australian_Road {{TemplateMapping | mapToClass = Road | mappings = {{ConstantMapping | ontologyProperty = country | value = Australia }}}})
  • Language specification for string properties in PropertyMappings (e.g. Infobox_japan_station: {{PropertyMapping | templateProperty = name | ontologyProperty = foaf:name | language = ja}} )
  • Multiplication factor in PropertyMappings (e.g. Infobox_GB_station: {{PropertyMapping | templateProperty = usage0910 | ontologyProperty = passengersPerYear | factor = 1000000}}, because it’s always specified in millions)

5. RDF Links to External Data Sources

  • New RDF links pointing at resources in the following Linked Data sources: Umbel, EUnis, LinkedMDB, Geospecis
  • Updated RDF links pointing at resources in the following Linked Data sources: Freebase, WordNet, Opencyc, New York Times, Drugbank, Diseasome, Flickrwrapper, Sider, Factbook, DBLP, Eurostat, Dailymed, Revyu

Accessing the new DBpedia Release

You can download the new DBpedia dataset from http://dbpedia.org/Downloads37.

As usual, the dataset is also available as Linked Data and via the DBpedia SPARQL endpoint (http://dbpedia.org/sparql).

Credits

Lots of thanks to

  • All editors that contributed to the DBpedia ontology mappings via the Mappings Wiki.
  • Max Jakob (Freie Universität Berlin, Germany) for improving the DBpedia extraction framework and for extracting the new datasets.
  • Dimitris Kontokostas (Aristotle University of Thessaloniki, Greece) for providing language generalizations to the extraction framework.
  • Paul Kreis (Freie Universität Berlin, Germany) for administering the ontology and for delivering the mapping statistics and schema.org mappings.
  • Uli Zellbeck (Freie Universität Berlin, Germany) for providing the links to external datasets using the Silk framework.
  • The whole Internationalization Committee for expanding some DBpedia extractors to a number of languages:
    http://dbpedia.org/Internationalization.
  • Kingsley Idehen and Mitko Iliev (both OpenLink Software) for loading the dataset into the Virtuoso instance that serves the Linked Data view and SPARQL endpoint. OpenLink Software (http://www.openlinksw.com/) altogether for providing the server infrastructure for DBpedia.

The work on the new release was financially supported by:

  • The European Commission through the project LOD2 - Creating Knowledge out of Linked Data (http://lod2.eu/, improvements to the extraction framework).
  • The European Commission through the project LATC - LOD Around the Clock (http://latc-project.eu/, creation of external RDF links).
  • Vulcan Inc. as part of its Project Halo (http://www.projecthalo.com/).

More information about DBpedia is found at http://dbpedia.org/About

Have fun with the new data set!

Cheers,

Chris Bizer

Official DBpedia Live Release

July 9, 2011 - 12:50 pm by Sören - No comments »

We are pleased to announce the official release of DBpedia Live. The main objective of DBpedia is to extract structured information from Wikipedia, convert it into RDF, and make it freely available on the Web. In a nutshell, DBpedia is the Semantic Web mirror of Wikipedia.

Wikipedia users constantly revise Wikipedia articles with updates happening almost each second. Hence, data stored in the official DBpedia endpoint can quickly become outdated, and Wikipedia articles need to be re-extracted. DBpedia Live enables such a continuous synchronization between DBpedia and Wikipedia.

The DBpedia Live framework has the following new features:

  1. Migration from the previous PHP framework to the new Java/Scala DBpedia framework.
  2. Support of clean abstract extraction.
  3. Automatic reprocessing of all pages affected by a schema mapping change at http://mappings.dbpedia.org.
  4. Automatic reprocessing of pages that are not changed for more than one month. The main objective of that feature is to that any change in the DBpedia framework, e.g. addition/change of an extractor, will eventually affect all extracted resources. It also serves as fallback for technical problems in Wikipedia or the update stream.
  5. Publication of all changesets.
  6. Provision of a tool to enable other DBpedia mirrors to be in synchronization with our DBpedia Live endpoint. The tool continuously downloads changesets and performs changes in a specified triple store accordingly.

Important Links:

Thanks a lot to Mohamed Morsey, who implemented this version of DBpedia Live as well as to Sebastian Hellmann and Claus Stadler who worked on its predecessor. We also thank our partners at the FU Berlin and OpenLink as well as the LOD2 project for their support.

OpenData Challenge awards 20.000€ prizes to open public data apps

May 6, 2011 - 9:23 am by Sören - No comments »

European public bodies produce thousands upon thousands of datasets every year - about everything from how our tax money is spent to the quality of the air we breathe.

The Opendata competition aims to challenge designers, developers, journalists, researchers and the general public to come up with something useful, valuable or interesting using open public data.

There are four main strands to the competition:

  • Ideas – Anyone can suggest an idea for projects which reuse public information to do something interesting or useful.
  • Apps – Teams of developers can submit working applications which reuse public information.
  • Visualisations – Designers, artists and others can submit interesting or insightful visual representations of public information.
  • Datasets - We encourage the submission of any form of open datasets produced by public governmental bodies, either submitted directly by the public body or by developers or others who have transformed, cleaned or interlinked the data.
  •  

    The competition is open til 5th June midnight. The winners will be selected by an all star cast of open data gurus - and announced in mid June at the European Digital Assembly in Brussels. More information can be found at: http://opendatachallenge.org/

    DBpedia Spotlight - Text Annotation Toolkit released

    February 15, 2011 - 2:53 pm by ChrisBizer - No comments »

    We are happy to announce a first release of DBpedia Spotlight - Shedding Light on the Web of Documents. 

    The amount of data in the Linked Open Data cloud is steadily increasing. Interlinking text documents with this data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. 

    DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. The DBpedia Spotlight Architecture is composed by the following modules:

    • Web application, a demonstration client (HTML/Javascript UI) that allows users to enter/paste text into a Web browser and visualize the resulting annotated text.

    • Web Service, a RESTful Web API that exposes the functionality of annotating and/or disambiguating entities in text. The service returns XML, JSON or RDF.

    • Annotation Java / Scala API, exposing the underlying logic that performs the annotation/disambiguation.

    • Indexing Java / Scala API, executing the data processing necessary to enable the annotation/disambiguation algorithms used.

    More information about DBpedia Spotlight can be found at: 

    http://spotlight.dbpedia.org 

    DBpedia Spotlight is provided under the terms of the Apache License, Version 2.0. Part of the code uses LingPipe under the Royalty Free License.

     

    The source code can be downloaded from: 

    http://sourceforge.net/projects/dbp-spotlight 

    The development of DBpedia Spotlight was supported by: 

    • Neofonie GmbH, a Berlin-based company offering leading technologies in the area of Web search, social media and mobile applications (http://www.neofonie.de/).

    • The European Commission through the project LOD2 – Creating Knowledge out of Linked Data (http://lod2.eu/). 

    Lots of thanks to:

    • Andreas Schultz for his help with the SPARQL endpoint.

    • Paul Kreis for his help with evaluations.

    • Robert Isele and Anja Jentzsch for their help in early stages with the DBpedia extraction framework.

    Cheers,

     Pablo N. Mendes, Max Jakob, Andrés García-Silva and Chris Bizer.

    DBpedia 3.6 AMI Available

    January 31, 2011 - 3:46 pm by kidehen@openlinksw.com - No comments »

    In line with prior releases of DBpedia, there is a new 3.6 edition of the DBpedia AMI available from Amazon EC2.

    What is a DBpedia AMI?

    A preconfigured Virtuoso Cluster Edition database that includes a preloaded DBpedia dataset. The entire deliverable is packaged as an Amazon Machine Instance (AMI); which is a cloud hosted virtual machine.

    Why is it Important?

    It enables you to productively exploit the power of the DBpedia within minutes. Basically, you can make DBpedia instances that serve you personal or service  specific needs. Thus, you do not have to constrain your use of DBpedia via the live instance which is configured for Web Scale use, based on server side constraints that affect concurrent connections, query timeouts, and result set sizes.

    How do I use it?

    Simply follow the instructions in the DBpedia AMI guide which boils down to:

    1. Instantiating a Virtuoso EC2 AMI
    2. Mounting the Amazon Elastic Block Storage (EBS) snapshot that hosts the preloaded Virtuoso Database.

    Enjoy!

    DBpedia 3.6 released

    January 17, 2011 - 2:01 pm by ChrisBizer - No comments »

    Hi all, 

    we are happy to announce the release of DBpedia 3.6. The new release is based on Wikipedia dumps dating from October/November 2010. 

     The new DBpedia dataset describes more than 3.5 million things, of which 1.67 million are classified in a consistent ontology, including 364,000 persons, 462,000 places, 99,000 music albums, 54,000 films, 16,500 video games, 148,000 organizations, 148,000 species and 5,200 diseases.  The DBpedia dataset features labels and abstracts for 3.5 million things in up to 97 different languages; 1,850,000 links to images and 5,900,000 links to external web pages; 6,500,000 external links into other RDF datasets, and 632,000 Wikipedia categories.  

    The dataset consists of 672 million pieces of information (RDF triples) out of which 286 million were extracted from the English edition of Wikipedia and 386 million were extracted from other language editions and links to external datasets.  

    Along with the release of the new datasets, we are happy to announce the initial release of the DBpedia MappingTool (http://mappings.dbpedia.org/index.php/MappingTool): a graphical user interface to support the community in creating and editing mappings as well as the ontology.  

    The new release provides the following improvements and changes compared to the DBpedia 3.5.1 release:  

    1. Improved DBpedia Ontology as well as improved Infobox mappings using http://mappings.dbpedia.org/  

    Furthermore, there are now also mappings in languages other than English. These improvements are largely due to collective work by the community. There are 13.8 million RDF statements based on mappings (11.1 million in version 3.5.1). All this data is in the /ontology/ namespace. Note that this data is of much higher quality than the Raw Infobox data in the /property/ namespace.  

    Statistics of the mappings wiki on the date of release 3.6:  

    Mappings:     

    • English: 315 Infobox mappings (covers 1124 templates including redirects)     
    • Greek: 137 Infobox mappings (covers 192 templates including redirects)     
    • Hungarian: 111 Infobox mappings (covers 151 templates including redirects)     
    • Croatian: 36 Infobox mappings (covers 67 templates including redirects)     
    • German: 9 Infobox mappings
    • Slovenian: 4 Infobox mappings

    Ontology:     

    • 272 classes

    Properties:     

    • 629 object properties     
    • 706 datatype properties (they are all in the /datatype/ namespace)  

    2.  Some commonly used property names changed  

    Please see http://dbpedia.org/ChangeLog and http://dbpedia.org/Datasets/Properties to know which relations changed and update your applications accordingly!  

    3. New Datatypes for increased quality in mapping-based properties  

    • xsd:positiveInteger, xsd:nonNegativeInteger, xsd:nonPositiveInteger, xsd:negativeInteger 

    4. Improved parsing coverage 

    • Parsing of lists of elements in Infobox property values that improves the completeness of extracted facts
    • Method to deal with missing repeated links in Infoboxes that do appear somewhere else on the page.
    • Flag templates are parsed.
    • Various improvements on internationalization.  

    5. Improved recognition of  

    • Wikipedia language codes.
    • Wikipedia namespace identifiers.
    • Category hierarchies.  

    6. Disambiguation links for acronyms (all upper-case title) are now extracted (for example, Kilobyte and Knowledge_base for “KB”):  

    • Wikilinks consisting of multiple words: If the starting letters of the words appear in correct order (with possible gaps) and cover all acronym letters.
    • Wikilinks consisting of a single word: If the case-insensitive longest common subsequence with the acronym is equal to the acronym. 

    7. New ‘Geo-Related’ Extractor

    • Relates articles to resources of countries, whose label appear in the name of the articles’ categories.

    8. Encoding (bugfixes) 

    • The new datasets support the complete range of Unicode code points (up to 0×10ffff). 16-bit code points start with ‘\u’, code points larger than 16-bits start with ‘\U’.
    • Commas and ampersands do not get encoded anymore in URIs. Please see http://dbpedia.org/URIencoding for an explanation regarding the DBpedia URI encoding scheme.  

    9. Extended Datasets 

    • Thanks to Johannes Hoffart (Max-Planck-Institut für Informatik) for contributing links to YAGO2.
    • Freebase links have been updated. They now refer to mids (http://wiki.freebase.com/wiki/Machine_ID) because guids have been deprecated.  

    You can download the new DBpedia dataset from http://dbpedia.org/Downloads36 

    As usual, the dataset is also available as Linked Data and via the DBpedia SPARQL endpoint at http://dbpedia.org/sparql 

    Lots of thanks to:  

    • All editors that contributed to the DBpedia ontology mappings via the Mappings Wiki.
    • Max Jakob (Freie Universität Berlin, Germany) for improving the DBpedia extraction framework and for extracting the new datasets.
    • Robert Isele and Anja Jentzsch (both Freie Universität Berlin, Germany) for helping Max with their expertise on the extraction framework.
    • Paul Kreis (Freie Universität Berlin, Germany) for analyzing the DBpedia data of the previous release and suggesting ways to increase quality and quantity. Some results of his work were implemented in this release.
    • Dimitris Kontokostas (Aristotle University of Thessaloniki, Greece), Jimmy O’Regan (Eolaistriu Technologies, Ireland), José Paulo Leal (University of Porto, Portugal) for providing patches to improve the extraction framework.
    • Claus Stadler (Universität Leipzig, Germany) for implementing the Geo-Related extractor and extracting its data.
    • Jens Lehmann and Sören Auer (both Universität Leipzig, Germany) for providing the new dataset via the DBpedia download server at Universität Leipzig.
    • Kingsley Idehen and Mitko Iliev (both OpenLink Software) for loading the dataset into the Virtuoso instance that serves the Linked Data view and SPARQL endpoint. OpenLink Software (http://www.openlinksw.com/) altogether for providing the server infrastructure for DBpedia.  

    The work on the new release was financially supported by  

    • Neofonie GmbH, a Berlin-based company offering leading technologies in the area of Web search, social media and mobile applications (http://www.neofonie.de/).
    • The European Commission through the project LOD2 - Creating Knowledge out of Linked Data (http://lod2.eu/).
    • Vulcan Inc. as part of its Project Halo (http://www.projecthalo.com/). Vulcan Inc. creates and advances a variety of world-class endeavors and high impact initiatives that change and improve the way we live, learn, do business (http://www.vulcan.com/). More information about DBpedia is found at http://dbpedia.org/About  

    Have fun with the new dataset!  

    The whole DBpedia team also congratulates Wikipedia to its 10th Birthday which was this weekend!  

    Cheers,  

    Chris Bizer

    Links to DBpedia from Ontos NLP web services

    October 20, 2010 - 10:45 am by Sören - No comments »

    The NLP specialist Ontos extends the quality and amount of information for developers by integrating its news portal into the Linked Data Cloud. Ontos’ GUIDs for objects are now dereferencable - the resulting RDF contains owl:sameAs-attributes to DBpedia, Freebase and others (cf. e.g the entry for Barack Obama).

    Within the news portal Ontos crawls news articles from diverse online sources, uses its cutting-edge NLP technology to extract facts (objects and relations between them), merges these information with existing ones and stores them including respective references to the original news article - all of this fully automatically. Facts from Ontos’ portal are accessible via a RESTful HTTP API. Fetching data is free - in order to receive an API key, developers have to register (e-mail address only!) at Ontos’ homepage.

    For humans Ontos provides a search interface at http://www.ontosearch.com. It allows to look-up objects in the database and viewing respective summaries in HTML or RDF.

    Please note that the generated RDF does currently contain a small part of existing information (e. g. no article references yet). Ontos will extend the respective content step-by-step.