TY - JOUR A1 - De Luca, Ernesto William T1 - Extending the Linked Data Cloud with Multilingual Lexical Linked Data T2 - Knowledge Organization N2 - A lot of information that is already available on the Web, or retrieved from local information sys-tems and social networks, is structured in data silos that are not semantically related. Semantic technologies make it apparent 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. 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 data items. Here 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 per-spectives. After giving the definition of Lexical Linked Data, we describe the existing datasets we collected and the new datasets we included. Here we describe their format and show some use cases where we link lexical data, and show how to reuse and inference semantic data de-rived from lexical data. Different lexical resources (MultiWordNet, EuroWordNet, MEMODATA Lexicon, the Hamburg Methaphor Data-base) are connected to each other towards an Integrated Vocabulary for LLD that we evaluate and present. KW - Lexical Linked Data KW - Linked Data KW - Datenintegration KW - Semantisches Netz KW - Datenstruktur Y1 - 2022 UR - https://opus4.kobv.de/opus4-fhpotsdam/frontdoor/index/index/docId/2691 SN - 0943-7444 VL - 40 IS - 5 SP - 320 EP - 331 PB - Ergon-Verlag CY - Würzburg ER -