Leipziger Semantic Web Tag on 29th of April

Posted on February 11, 2009 by Sören Auer

In the context of our recently started BmBF funded WK-Potential project LE4SW we organize a Leipziger Semantic Web Tag (LSWT) in order to get more in touch with enterprises from Saxony and to raise awareness about the opportunities Semantic Web technologies offer for small and medium sized companies. The day will take place at the marvelous Mediencampus Villa Ida and will comprise talks about fundamental Semantic Data Web technology pillars as well as presentations from an application and user perspective. More information about the LSWT can be found (in German) at: http://aksw.org/Events/2009/LeipzigerSemanticWebDay.

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DBpedia Live Extraction Test Server

Posted on February 11, 2009 by Sebastian Hellmann

We currently feature a live extraction of DBpedia on one of our servers. The live extraction is aimed at bringing Wikipedia and DBpedia closer together. Errors in DBpedia can soon be corrected directly by editing the corresponding Wikipedia article.
We created a test page on Wikipedia for observing the effects of the live extraction on the endpoint at: http://en.wikipedia.org/wiki/User:DBpedia

Our further plans regarding the live extraction are:

  • Changing the current Virtuoso version to 6.0, which will come out soon (counting the days…)
    Note: since Virtuoso has a Wikipedia page with an Infobox, you could tell your personal semantic agent to notify you, as soon as the 6.0 release is out, as it can now be queried with SPARQL on DBpedia-Live. See the Wikipedia page, DBpedia and DBpedia-Live (Addition: Kidehen just contacted us and installed a DBpedia vad on our DBpedia mirror and now the data is accessible via LinkedData also. See http://db0.aksw.org:8890/resource/Virtuoso_Universal_Server. Note the owl:sameAs link to the original DBpedia.)
  • Getting all extractors online (some are deactivated right now)
  • Gathering feedback from the community, as DBpedia is a vital resource of the Semantic Web.
  • Deploy the Live-Extraction on the public DBpedia endpoint.
  • Deploy an OntoWiki on our DBpedia-Live mirror.

As we are in the phase of active developments, we are looking forward to receive your feedback and comments on the live extraction and our further ideas (described below).
Continue reading →

Posted in Announcements, dbpedia, Software Releases | 1 Comment

Paper on Triplify accepted at WWW 2009

Posted on February 10, 2009 by Sören Auer

Our paper “Triplify – Light-weight Linked Data Publication from Relational Databases” was accepted for the Semantic Data Web track at this years World Wide Web Conference. In the paper we discuss the motivation, workings of Triplify as well as its spatial and update log extensions. WWW 2009 will take place from April 20th to 24th in Madrid. Besides paper presentations WWW 2009 also includes a workshop on Linked Data on the Web (LDOW2009).

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Protégé DL-Learner plugin 0.1

Posted on December 22, 2008 by Jens Lehmann

Today, we released a plugin for Protege 4, the upcoming release of the popular ontology editor. The plugin allows you to get suggestions for axioms you may want to add to your OWL ontology by analysing the instance data using the DL-Learner framework. You can get an idea of how it can help you in engineering an ontology by watching our screencast. It is very easy to download and install by simply copying a file into your Protege 4 plugin directory. More information can be found on the plugin wiki page. Thanks to Christian Kötteritzsch for implementing the plugin and a Merry Christmas to all AKSW blog readers.

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OSM Linked Geo Data extraction, browser & editor

Posted on December 10, 2008 by Sören Auer

We were working in the last weeks on bringing geo data derived from the marvelous OpenStreetMap project to the data web. This work in progress is still far from being finished, however, we would like to share some first preliminary results:

  • A vast amount of point-of-interest descriptions was extracted from OSM and published as Linked Data at http://linkedgeodata.org
  • The Linked Geo Data browser and editor (available at http://linkedgeodata.org/browser) is a facet-based browser for geo content, which uses an OLAP inspired hypercube for quickly retrieving aggregated information about any user selected area on earth.

Further information can be also found in our AKSW project description.

Posted in Linked Geo Data | 2 Comments

IMC-SSW 2008 – Proceedings Online

Posted on November 16, 2008 by Sebastian Tramp

The IMC-SSW 2008 proceedings are now available via the CEUR Workshop Proceedings publication service. You can download either the complete proceeding as one single PDF document or select a specific paper from the proceedings page.

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Semantic-Web.at Interview on DBpedia and UMBEL

Posted on November 10, 2008 by Sören Auer

Semantic-Web.at published an interview titled “DBpedia, UMBEL & the Future Web’s Ecology” with Sören Auer and Mike Bergman. Read more at: http://blog.semantic-web.at/2008/11/10/umbel-dbpedia-futureweb-ecology-interview/

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IMC-SSW 2008 – Accepted Submissions

Posted on October 14, 2008 by Sebastian Tramp

The IMC-SSW Programme Committee has now finished the task of selecting papers for the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW). The list of accepted submissions is available at the workshop homepage. We thank all authors for submitting papers and look forward to seeing you in Koblenz in December.

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DL-Learner Build 2008-10-13 released

Posted on October 13, 2008 by Jens Lehmann

Today, we released DL-Learner Build 2008-10-13. DL-Learner is a tool for learning complex class descriptions from examples and background knowledge. It extends Inductive Logic Programming to Description Logics and the Semantic Web.

Downloads are available at the sourceforge.net project page. For a list of the most important changes since the previous release (Build 2008-02-18), see the ChangeLog. Some notable features are:

  • addition of a new learning algorithm, which uses background knowledge more efficiently to find solutions of learning problems
  • a GUI as interface to create or modify configuration files and execute algorithms
  • a fast approximate instance checking algorithm decreasing the time for example coverage checks (the most expensive operation) significantly, thereby improving overall performance
  • a matured fragment extraction algorithm, which allows to grab OWL-DL fragments from large knowledge bases (using SPARQL), which contain enough relevant information to conduct concept learning, while they are small enough to reason efficiently (more information)

DL-Learner can be used to:

  • solve general supervised Machine Learning problems using ontologies as background knowledge (given as OWL files, SPARQL endpoints, etc.) , e.g. it was used to predict whether chemicals can cause cancer
  • help knowledge engineers by learning definitions and subclass axioms (plugins for Protégé and OntoWiki in progress)
  • support searching/navigating/recommendations in knowledge bases
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Web of Data Practitioners Days

Posted on October 13, 2008 by Sören Auer

On 22nd of October Sören will give a talk at the Web of Data Practitioners Days in Vienna. Topics of the talk will be
how to expose RDF data from existing Web applications and how structured and semi-structured legacy data sources can be exposed as RDF and Linked Data.

In particular we will present Triplify – a lightweight plugin for Web applications, D2R – a mapping system which allows to expose relational data as RDF and enables mappings of SPARQL queries to SQL queries on the underlying relational databases, Virtuoso’s RDF Views – a technology, which is part of the Virtuoso Universal Server – a combined database and triple store – and which has similar functionality as Triplify and D2R. We will demonstrate how Wikis can serve as a source for structured content and semantics with the example of how DBpedia extracts knowledge from Wikipedia. We will show how OpenCalais can be used to annotate textual content. Last but not least we will explain how to expose other legacy sources, in particular from LDAP directories, CSV/Excel files, digital libraries with OAI-PMH.

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