Die Multilingual Lexical Linked Data Cloud: Eine mögliche Zugangsoptimierung?

A lot of information that is already available on the Web or retrieved from local information systems and social networks is structured in data silos that are not semantically related. For this reason, data integration, through reengineering (e.g. triplify), or querying (e.g. D2R) is an important task in order to make information available for everyone. Thus, in order to build a semantic map of the data, we need knowledge about data items itself and the relation between heterogeneous semantic technologies make it emerge that the use of typed links that directly express their relations are an advantage for every application that can reuse the incorporated knowledge about the data items. In this paper, we present our work of providing Lexical Linked Data (LLD) through a meta-model that contains all the resources and gives the possibility to retrieve and navigate them from different perspectives. We combine the existing work done on knowledge domains (based on the Information Coding Classification) within the Multilingual Lexical Linked Data Cloud (based on the RDF/OWL EurowordNet and the related integrated lexical resources MultiWordNet, EuroWordNet, MEMODATA Lexicon, the Hamburg Methaphor Database). [ABSTRACT FROM AUTHOR]