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{{Inproceedings
 
{{Inproceedings
|Referiert=False
+
|Referiert=True
 
|Title=Towards Green Linked Data
 
|Title=Towards Green Linked Data
 
|Year=2011
 
|Year=2011
|Month=September
+
|Month=Oktober
 
|Booktitle=Proceedings of the Second International Workshop on Consuming Linked Data (COLD2011)
 
|Booktitle=Proceedings of the Second International Workshop on Consuming Linked Data (COLD2011)
 
|Publisher=CEUR Workshop Proceedings (CEUR-WS.org)
 
|Publisher=CEUR Workshop Proceedings (CEUR-WS.org)
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{{Publikation Details
 
{{Publikation Details
|Download=HoxhaEtAl TowardsGreenLinkedData COLD2011.pdf,  
+
|Abstract=We here present a vision of what needs to be addressed when
 +
designing and publishing linked data on the Web. Our approach aims
 +
at reducing the amount of incorrect, irrelevant, or redundant content -
 +
which can also be seen as pollution in the Web of Data - when publishing
 +
linked data. At the foundation lie the design principles adapted from
 +
green engineering. We envision a holistic framework that evaluates, along
 +
these principles and their respective assessment metrics, datasets from
 +
publishers and allows configuration of new validation tools.
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement
 
}}
 
}}

Aktuelle Version vom 4. Mai 2012, 13:53 Uhr


Towards Green Linked Data


Towards Green Linked Data



Published: 2011 Oktober

Buchtitel: Proceedings of the Second International Workshop on Consuming Linked Data (COLD2011)
Verlag: CEUR Workshop Proceedings (CEUR-WS.org)

Referierte Veröffentlichung
Note: vision paper

BibTeX

Kurzfassung
We here present a vision of what needs to be addressed when designing and publishing linked data on the Web. Our approach aims at reducing the amount of incorrect, irrelevant, or redundant content - which can also be seen as pollution in the Web of Data - when publishing linked data. At the foundation lie the design principles adapted from green engineering. We envision a holistic framework that evaluates, along these principles and their respective assessment metrics, datasets from publishers and allows configuration of new validation tools.



Forschungsgruppe

Wissensmanagement


Forschungsgebiet