SAIM (Semi-Automatic Instance Matcher)

SAIM (pronounced like “same”) does instance matching on SPARQL endpoints in the Semantic Web. Users can either manually or automatically generate a class matching, property matching and a metric expression. Machine learning algorithms such as RAVEN (RApid actiVE liNking) are integrated in SAIM. Currently, SAIM supports the high-performance LIMES framework with SILK support planned in future work.

Articles:

• ISWC 2011 Ontology Matching Workshop Paper about RAVEN

Homepage: http://saim.sf.net

User Interface

The first beta version of the SAIM user interface will be available soon.

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.

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://verilink.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”