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.

Or see this awesome video from ISWC presenting AGDISTIS.


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:

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: * 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'

and a German endpoint:

shell curl --data-urlencode "text='Die Stadt <entity>Dresden</entity> liegt in <entity>Sachsen</entity>.'" -d type='agdistis'


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AKSW Colloquium, 23.05.2016, Instance Matching and RDF Dataset Similarity ( 2016-05-23T14:24:06+02:00 Michael Roeder)

2016-05-23T14:24:06+02:00 Michael Roeder

In the incoming colloquium, Mofeed Hassan will present the paper “Semi-supervised Instance Matching Using Boosted Classifiers” from Kejriwal et al., published in the proceedings of ESWC 2015 [PDF]. Read more about "AKSW Colloquium, 23.05.2016, Instance Matching and RDF Dataset Similarity"

AKSW Colloquium, 09.05.2016: Hebrew MMoOn inventory, federated SPARQL query processing ( 2016-05-03T13:57:03+02:00 by Bettina Klimek)

2016-05-03T13:57:03+02:00 by Bettina Klimek

In this week’s colloquium Bettina Klimek will give a practice talk of the paper ‘Creating Linked Data Morphological Language Resources with MMoOn – The Hebrew Morpheme Inventory‘, which she will present at the LREC conference 2016, 23-28 May 2016, Slovenia, … Continue reading → Read more about "AKSW Colloquium, 09.05.2016: Hebrew MMoOn inventory, federated SPARQL query processing"

AKSW Colloquium, 25.04.2016, DISPONTE, Workbench for Big Data Dev ( 2016-04-22T16:05:08+02:00 by Mohamed Sherif)

2016-04-22T16:05:08+02:00 by Mohamed Sherif

In this colloquium, Frank Nietzsche will present his master thesis titled “Game Theory- distributed solving” Game theory analyzes the behavior of individuals in complex situations. One popular game in Europe and North America with such a complex situation is Skat. Read more about "AKSW Colloquium, 25.04.2016, DISPONTE, Workbench for Big Data Dev"

AKSW Colloquium, 18.04.2016, DISPONTE, Workbench for Big Data Dev ( 2016-04-18T10:17:10+02:00 by Patrick Westphal)

2016-04-18T10:17:10+02:00 by Patrick Westphal

In this week’s Colloquium, today 18th of April at 3 PM, Patrick Westphal will present the paper ‘Probabilistic Description Logics under the Distribution Semantics‘ by Riguzzi et. al. Abstract Representing uncertain information is crucial for modeling real world domains. Read more about "AKSW Colloquium, 18.04.2016, DISPONTE, Workbench for Big Data Dev"

AKSW Colloquium, 11.04.2016, METEOR with DBnary ( 2016-04-11T09:07:18+02:00 by Ricardo Usbeck)

2016-04-11T09:07:18+02:00 by Ricardo Usbeck

In this week’s Colloquium, today 11th of April at 3 PM, Diego Moussallem will present the paper by Zied Elloumi et al. titled “METEOR for Multiple Target Languages using DBnary.” [PDF]. Read more about "AKSW Colloquium, 11.04.2016, METEOR with DBnary"