SAIM: (Semi-)Automatic Instance Matcher

  • screenshot

The original intention behind SAIM (pronounced like “same”) was to provide an interface desgined to support instance matching on RDF data. Its main apllication was then intended to support the discovery of links between knowledge bases across the Linked Data Web with semi-automic approaches. In addition to providing achieving this goal by provinding interfaces that allow users either manually or semi-automatically generating class matchings, property matchings and link specifications, SAIM has been paired with LIMES and now provides an extended range of functionality. For example, it now includes interfaces the fully unsupervised learning of link specifications. In addition, LIMES' machine learning algorithms such as RAVEN (RApid actiVE liNking) and EAGLE (Efficient Active Learning of Link Specifications Using Genetic Programming) can be utilized in SAIM.

Demo Homepage


User Interface

A pre-alpha version of the SAIM user interface is available here. SAIM is localized (the screenshot shows it in a german browser) with english and german localization existing. If you want to provide an additional language just let us know and we can provide you with a resource file template.

Veri Links (Game Based Link Verification)

As a module of SAIM, we developed an interlinking game with a prupose (GWAP). By verifying links, you earn points, which you can use in the main game to defend against invadors (and save world - as usual). If you disagree with many other users, then you can also get penalties. In the admin console, arbitrary linksets can be uploaded. Depending on the data, facts about resources are displayed in lists or on a map. Try it:

Developing SAIM using Eclipse

  1. Make sure you have Java 6, Maven 2 and Eclipse (preferably JEE) installed.
  2. Install the Subclipse plugin for Subversion support.
  3. Install the Eclipse m2e Maven plugin for Maven support and m2e extras "Maven SCM handler for Subclipse".
  4. "File >> New >> Other..." >> "Checkout Maven Projects from SCM"
  5. Set SCM URL type to "svn" and enter as URL
  6. Choose "Finish"

Project Team

Former Members


AKSW Colloquium, 17.10.2016, Version Control for RDF Triple Stores + NEED4Tweet ( 2016-10-17T09:55:50+02:00 by Marvin Frommhold)

2016-10-17T09:55:50+02:00 by Marvin Frommhold

In the upcoming Colloquium, October the 17th at 3 PM, two papers will be presented: Version Control for RDF Triple Stores Marvin Frommhold will discuss the paper “Version Control for RDF Triple Stores” by Steve Cassidy and James Ballantine which forms the foundation … Continue reading → Read more about "AKSW Colloquium, 17.10.2016, Version Control for RDF Triple Stores + NEED4Tweet"

LIMES 1.0.0 Released ( 2016-10-14T11:38:31+02:00 by Kleanthi Georgala)

2016-10-14T11:38:31+02:00 by Kleanthi Georgala

Dear all, the LIMES Dev team is happy to announce LIMES 1.0.0. LIMES, the Link Discovery Framework for Metric Spaces, is a link discovery framework for the Web of Data. Read more about "LIMES 1.0.0 Released"

DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released ( 2016-10-11T21:41:00+02:00 by Dr. Jens Lehmann)

2016-10-11T21:41:00+02:00 by Dr. Jens Lehmann

Dear all, the Smart Data Analytics group at AKSW is happy to announce DL-Learner 1.3. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released"

OntoWiki 1.0.0 released ( 2016-10-05T16:50:05+02:00 by Natanael Arndt)

2016-10-05T16:50:05+02:00 by Natanael Arndt

Dear Semantic Web and Linked Data Community, we are proud to finally announce the releases of OntoWiki 1.0.0 and the underlying Erfurt Framework in version 1.8.0. Read more about "OntoWiki 1.0.0 released"

AKSW Colloquium, 05.09.2016. LOD Cloud Statistics, OpenAccess at Leipzig University. ( 2016-08-31T11:23:10+02:00 by Ivan Ermilov)

2016-08-31T11:23:10+02:00 by Ivan Ermilov

On the upcoming Monday (05.09.2016), AKSW group will discuss topics related to Semantic Web and LOD Cloud Statistics. Also, we will have invited speaker from University of Leipzig Library (UBL) Dr. Astrid Vieler talking about OpenAccess at Leipzig University. Read more about "AKSW Colloquium, 05.09.2016. LOD Cloud Statistics, OpenAccess at Leipzig University."