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

Articles

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: http://verilinks.aksw.org

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 https://saim.svn.sourceforge.net/svnroot/saim/trunk as URL
  6. Choose "Finish"

Project Team

Former Members

News

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 by Sandra Bartsch)

2019-08-01T10:35:05+02:00 by Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

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"

SANSA 0.5 (Semantic Analytics Stack) Released ( 2018-12-13T09:25:34+01:00 by Prof. Dr. Jens Lehmann)

2018-12-13T09:25:34+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.5 – the fifth release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.5 (Semantic Analytics Stack) Released"