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Extending the Linked Data Cloud with Multilingual Lexical Linked Data

  • 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.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.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Ernesto William De LucaORCiDGND
DOI:https://doi.org/10.5771/0943-7444-2013-5-320
ISSN:0943-7444
Titel des übergeordneten Werkes (Englisch):Knowledge Organization
Verlag:Ergon-Verlag
Verlagsort:Würzburg
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):29.03.2022
Jahr der Erstveröffentlichung:2013
Veröffentlichende Institution:Fachhochschule Potsdam
Datum der Freischaltung:15.03.2022
Freies Schlagwort / Tag:Lexical Linked Data
GND-Schlagwort:Linked Data; Datenintegration; Semantisches Netz; Datenstruktur
Jahrgang:40
Ausgabe / Heft:5
Erste Seite:320
Letzte Seite:331
Fachbereiche und Zentrale Einrichtungen:FB5 Informationswissenschaften
FB5 Informationswissenschaften / Publikationen des FB Informationswissenschaften
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International
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