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://139.18.2.164:8080/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://139.18.2.164:8080/AGDISTIS_DE

Publications

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News

AKSW Colloquium, 15th August, 3pm, RDF query relaxation ( 2016-08-10T11:03:58+02:00 Michael Roeder)

2016-08-10T11:03:58+02:00 Michael Roeder

On the 15th of August at 3 PM, Michael Röder will present the paper “RDF Query Relaxation Strategies Based on Failure Causes” of Fokou et al. in P702. Read more about "AKSW Colloquium, 15th August, 3pm, RDF query relaxation"

Article accepted in Journal of Web Semantics ( 2016-08-02T09:54:24+02:00 by Lorenz Bühmann)

2016-08-02T09:54:24+02:00 by Lorenz Bühmann

We are happy to announce that the article “DL-Learner – A Framework for Inductive Learning on the Semantic Web” by Lorenz Bühmann, Jens Lehmann and Patrick Westphal was accepted for publication in the Journal of Web Semantics: Science, Services and Agents on … Continue reading → Read more about "Article accepted in Journal of Web Semantics"

AKSW Colloquium, 18.07.2016, AEGLE and node2vec ( 2016-07-18T14:56:44+02:00 TommasoSoru)

2016-07-18T14:56:44+02:00 TommasoSoru

On Monday 18.07.2016, Kleanthi Georgala will give her Colloquium presentation for her paper “An Efficient Approach for the Generation of Allen Relations”, that was accepted at the European Conference on Artificial Intelligence (ECAI) 2016. Read more about "AKSW Colloquium, 18.07.2016, AEGLE and node2vec"

AKSW Colloquium, 04.07.2016. Big Data, Code Quality. ( 2016-06-29T12:34:35+02:00 by Ivan Ermilov)

2016-06-29T12:34:35+02:00 by Ivan Ermilov

On the upcoming Monday (04.07.2016), AKSW group will discuss topics related to Semantic Web and Big Data as well as programming languages and code quality. Read more about "AKSW Colloquium, 04.07.2016. Big Data, Code Quality."

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"