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|Abstract=The Linked Data paradigm introduces the possibility to share machine-readable data across numerous Web resources, thus enabling applications that are traditionally only possible in corporate intranets to be realized on a Web scale. Due to the creation of an increasing number of publicly available Linked Open Data resources, the Web of Data has become a major application area for semantic technologies. This work introduces a recently published data set LON of non-lexical entities (NLEs) that can be used for numerous tasks of quantitative modeling on the Semantic Web. The size of the published data increases the magnitude of the public Linked Data significantly, yet we show how it can be seam- lessly integrated into current application architectures for the Web of Data.
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|Abstract=The Linked Data paradigm introduces the possibility to share machine-readable data across numerous Web resources, thus enabling applications that are traditionally only possible in corporate intranets to be realized on a Web scale. Due to the creation of an increasing number of publicly available Linked Open Data resources, the Web of Data has become a major application area for semantic technologies. This work introduces a recently published data set LON of non-lexical entities (NLEs) that can be used for numerous tasks of quantitative modeling on the Semantic Web. The size of the published data increases the magnitude of the public Linked Data significantly, yet we show how it can be seamlessly integrated into current application architectures for the Web of Data.
 
|VG Wort-Seiten=10
 
|VG Wort-Seiten=10
|Download=Linked open numbers.pdf,  
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|Download=Linked open numbers.pdf,
 
|Link=http://vmgal34.deri.ie/~antzim/RAFT/afd2010.html
 
|Link=http://vmgal34.deri.ie/~antzim/RAFT/afd2010.html
|Forschungsgruppe=Wissensmanagement
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|Forschungsgruppe=Web Science und Wissensmanagement
 
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{{Forschungsgebiet Auswahl
 
{{Forschungsgebiet Auswahl
 
|Forschungsgebiet=Semantic Web
 
|Forschungsgebiet=Semantic Web
 
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Aktuelle Version vom 15. Oktober 2015, 11:47 Uhr


Leveraging Non-Lexical Knowledge for the Linked Open Data Web




Veröffentlicht: 2010 April
Erscheinungsort: Galway, Ireland
Journal: The Fifth RAFT'2010 The yearly bilingual publication on nonchalant research
Nummer: 1
Seiten: 18-27
Verlag: Antoine Zimmermann
Volume: 5


Referierte Veröffentlichung

BibTeX




Kurzfassung
The Linked Data paradigm introduces the possibility to share machine-readable data across numerous Web resources, thus enabling applications that are traditionally only possible in corporate intranets to be realized on a Web scale. Due to the creation of an increasing number of publicly available Linked Open Data resources, the Web of Data has become a major application area for semantic technologies. This work introduces a recently published data set LON of non-lexical entities (NLEs) that can be used for numerous tasks of quantitative modeling on the Semantic Web. The size of the published data increases the magnitude of the public Linked Data significantly, yet we show how it can be seamlessly integrated into current application architectures for the Web of Data.

VG Wort-Seiten: 10
Download: Media:Linked open numbers.pdf
Weitere Informationen unter: Link



Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet

Semantic Web