WikiV3 results for OAEI 2017

WikiV3 is the successor of WikiMatch (participated in OAEI 2012 and 2013) which explores Wikipedia as one external knowledgebase for ontology matching. The results show that the matcher is slightly better than matchers based on string equality and can get higher recall values. Moreover due to the construction of the system it is able to compute mappings in a multilingual setup. 1 Presentation of the system 1.1 State, purpose, general statement WikiV3 is a system which exploits external knowledgebases in this case Wikipedia. It uses the MediaWiki API and searches pages which corresponds to a given resource. When exploring the interlanguage links of Wikipedia the system is also able to find mapping between ontologies of different languages. These links point from a Wikipedia page to a correspondent page in Wikipedia with a different language. In contrast to the previous version of the matcher (WikiMatch [1] which participated in OAEI 2012 and 2013) all interlanguage links are now stored in Wikidata . Wikidata is a separate project which allows to build a collaboratively edited knowledge base. One part of this project is to centralize the interlanguage links. Thus the text of Wikipedia is used to better map to Wikidata entities than just using the text available in Wikidata. The search engine of Wikipedia is based on Elasticsearch and is wrapped by a MediaWiki plugin called CirrusSearch. The service provided by this plugin is heavily used by this matcher to find corresponding resources. The general approach is shown in figure 1. For each resource of the first ontology a list of corresponding Wikidata concepts is generated. A resource can be a class, datatype property or a object property. All of them are handled seperately to ensure that no mapping between different type of resources is generated (e.g. no class is matched to a datatype or object property). In the same way a list of Wikidata IDs (WIDs) is created for the second ontology. If there is at least one WID of a list in ontology 2 appearing in a list of WIDs in ontology 1, then a mapping is created. This will 1 https://en.wikipedia.org/wiki/Help:Interlanguage_links 2 https://www.mediawiki.org/wiki/Help:CirrusSearch