AGDISTIS: Agnostic Disambiguation of Named Entities Using Linked Open Data

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AGDISTIS is an Open Source Named Entity Disambiguation Framework able to link entities against every Linked Data Knowledge Base.

Source Code Demo Issues

Logo AGDISTIS The ongoing transition from the current Web of unstructured data to the Data Web yet requires scalable and accurate approaches for the extraction of structured data in RDF (Resource Description Framework). One of the key steps towards extracting RDF from natural-language corpora is the disambiguation of named entities.

AGDISTIS combines the HITS algorithm with label expansion strategies and string similarity measures. Based on this combination, it can efficiently detect the correct URIs for a given set of named entities within an input text. Furthermore, AGDISTIS is agnostic of the underlying knowledge base.

AGDISTIS has been evaluated on different datasets against state-of-the-art named entity disambiguation frameworks.

Moreover, FOX is a modern Named Entity Recognition Framework which uses AGDISTIS for the Named Entity Linking Part. Additionally, FOX is used by DEER to extract named entities from resource descriptions.

For more information please visit our project site at Github.


AGDISTIS - Graph-Based Disambiguation of Named Entities using Linked Data (Best Research Paper) presented by Axel-Cyrille Ngonga Ngomo

NEWS

09.02.2015 - Since our last measurement in September 2014 AGDISTIS language versions were used as follows:

  • 88306 English AGDISTIS (before 63664 calls)
  • 473 German AGDISTIS (before 301 calls)
  • 258 Chinese AGDISTIS (before 168 calls)

This steady growth is amazing! Thank you all!

23.10.2014 - Award AGDISTIS We won the Best Research Paper Award at ISWC 2014. Read more here: http://blog.aksw.org/2014/aksw-successful-at-iswc2014/

Here is the video from the closing ceremony.

21.10.2014 - We present the AGDISTIS demo at Stand 79 at ISWC 2014. Visit us! Discuss with us!

22.09.2014 - Try out our new demo of AGDISTIS: http://agdistis.aksw.org/demo * Updated to DBpedia 2014 * Faster CSS and JS

16.09.2014 - Short news: the English version of AGDISTIS has been called 63664 times since deployment in October 2013. Sofar the German and the Chinese endpoint of AGDISTIS have been called 301 respectively 168 times since July 2014.

15.09.2014 - New version released!

AGDISTIS is now more efficient, faster and especially easier to configure.

12.09.2014 - We are currently improving maintainability of AGDISTIS by doing a light version of it. For all experiments as described in "AGDISTIS - Graph-Based Disambiguation of Named Entities using Linked Data by Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Sören Auer, Daniel Gerber und Andreas Both in International Semantic Web Conference" have a look at commit #80 or release v0.0.1

02.07.2014 - Since July 2014 we also provide a Chinese endpoint:

shell curl --data-urlencode "text='The <entity>shanghai</entity> in <entity>北京市</entity>.'" -d type='agdistis' http://titan.informatik.uni-leipzig.de:8080/AGDISTIS_ZH

and a German endpoint:

shell curl --data-urlencode "text='Die Stadt <entity>Dresden</entity> liegt in <entity>Sachsen</entity>.'" -d type='agdistis' http://titan.informatik.uni-leipzig.de:8080/AGDISTIS_DE

Publications

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News

AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction ( 2017-01-20T14:02:35+01:00 by Ivan Ermilov)

2017-01-20T14:02:35+01:00 by Ivan Ermilov

Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01. Read more about "AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction"

PRESS RELEASE: “HOBBIT so far.” is now available ( 2017-01-09T14:22:29+01:00 by Sandra Bartsch)

2017-01-09T14:22:29+01:00 by Sandra Bartsch

The latest release informs about the conferences our team attended in 2016 as well as about the published blogposts. Read more about "PRESS RELEASE: “HOBBIT so far.” is now available"

4th Big Data Europe Plenary at Leipzig University ( 2016-12-16T14:33:41+01:00 by Sandra Bartsch)

2016-12-16T14:33:41+01:00 by Sandra Bartsch

The meeting, hosted by our partner InfAI e. V., took place on the 14th to the 15th of December at the University of Leipzig. Read more about "4th Big Data Europe Plenary at Leipzig University"

SANSA 0.1 (Semantic Analytics Stack) Released ( 2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann)

2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann

Dear all, The Smart Data Analytics group /AKSW are very happy to announce SANSA 0.1 – the initial release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.1 (Semantic Analytics Stack) Released"

AKSW wins award for Best Resources Paper at ISWC 2016 in Japan ( 2016-12-09T15:05:00+01:00 by Sandra Bartsch)

2016-12-09T15:05:00+01:00 by Sandra Bartsch

Our paper, “LODStats: The Data Web Census Dataset”, won the award for Best Resources Paper at the recent conference in Kobe/Japan, which was the premier international forum for Semantic Web and Linked Data Community. Read more about "AKSW wins award for Best Resources Paper at ISWC 2016 in Japan"