An Instance-based Approach for Aligning Resources in the LOD Cloud

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49,90 

ISBN: 3330085851
ISBN 13: 9783330085855
Autor: Laaziz, Mohamed Najib
Verlag: LAP Lambert Academic Publishing
Umfang: 92 S.
Erscheinungsdatum: 21.07.2017
Auflage: 1/2017
Format: 0.7 x 22 x 15
Gewicht: 155 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 2676420 Kategorie:

Beschreibung

Linked data has become an essential component in the Semantic Web world. This data is growing into more and more linked instances distributed over different existing ontologies. In this context, there is an important need to improve the interoperability between different ontologies based on term mapping computation. Intensive work has been dedicated to developing very efficient matching algorithms. These methods that rely for instance on graph structures, machine learning, background knowledge, etc. can be considerably improved by the use of the huge amount of links already existing in the Linked Open Data (LOD) cloud. In this book, we will gather data coming from different domains and scattered sources which are related but using different vocabularies making their interoperability very challenging. Most of this data is available as an LOD cloud.

Autorenporträt

Mohamed Najib Laaziz, a graduate of the University of Eastern Finland, is an ambitious web developer with a great interest in the Semantic Web. Linked Data and its optimization have been the center of his research work. Laaziz took over a topic that, although of great relevance, has not had a big share of research among the Semantic Web community.

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