DBpediaDQCrowd: Crowdsourcing DBpedia Quality Assessment

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In this work we look into the use of crowdsourcing as a means to handle Linked Data quality problems that are challenging to be solved automatically. We analyzed the most common errors encountered in Linked Data sources and classified them according to the extent to which they are likely to be amenable to a specific crowdsourcing approach. Based on this analysis, we implemented a quality assessment methodology for Linked Data that leverage the wisdom of the crowds in different ways: (i) a contest format targeting an expert crowd of researchers and Linked Data enthusiasts; and (ii) paid microtasks published on Amazon Mechanical Turk. We empirically evaluated the the capacity of crowdsourcing approaches to spot quality issues in DBpedia and investigated how the contributions of the two crowds could be optimally integrated into Linked Data curation processes. The results showed that the two styles of crowdsourcing are complementary, and that crowdsourcing-enabled quality assessment is a promising and affordable way to enhance the quality of Linked Data sets.

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LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"

13th DBpedia community meeting in Leipzig ( 2019-02-22T12:22:07+01:00 by Julia Holze)

2019-02-22T12:22:07+01:00 by Julia Holze

We are happy to invite you to join the 13th edition of the DBpedia Community Meeting, which will be held in Leipzig. Read more about "13th DBpedia community meeting in Leipzig"

DBpedia Day @ SEMANTiCS 2018 ( 2018-07-20T14:37:25+02:00 by Johannes Frey)

2018-07-20T14:37:25+02:00 by Johannes Frey

Don’t miss the 12th edition of the DBpedia Community Meeting in Vienna, the city with the highest quality of life in the world. Read more about "DBpedia Day @ SEMANTiCS 2018"

DBpedia Open Text Extraction Challenge – TextExt ( 2017-03-09T12:15:57+01:00 Christopher Schulz)

2017-03-09T12:15:57+01:00 Christopher Schulz

DBpedia, a community project affiliated with the Institute for Applied Informatics (InfAI) e.V., extract structured information from Wikipedia & Wikidata. Now DBpedia started the DBpedia Open Text Extraction Challenge – TextExt. Read more about "DBpedia Open Text Extraction Challenge – TextExt"

Accepted Papers of AKSW Members @ Semantics 2016 ( 2016-06-27T12:50:01+02:00 by Sandra Bartsch)

2016-06-27T12:50:01+02:00 by Sandra Bartsch

This year’s SEMANTiCS conference which is taking place between September 12 – 15, 2016 in Leipzig recently invited for the submission of research papers on semantic technologies. Read more about "Accepted Papers of AKSW Members @ Semantics 2016"