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The Semantic Web has reached the point where basic research is supposed to be replaced (at least partially) by research aiming at practical aspects of using the Semantic Web. Ontologies, as the essential technology in this area, have been under the spot light which produced some results, e.g. the semantic web search engines like Watson or Swoogle. These search engines help in finding and locating semantic information on the Web. However, they do not support users to quickly understand what an ontology is about, what information it contains. We argue in this paper that vector description, as a snapshot of data comprised in ontologies and therefore representing a vector-based gold standard of a domain, may help while trying to understand a particular ontology. In other words, instead of depicting a whole ontology all together, we prefer reduction of information given and therefore avoid users being overwhelmed and thus help with orienting in a wide offering of ontologies on the Web.

Key Concepts Extended by Vector Descriptions to Interpret the Meaning of Ontologies