Stage-oe-small.jpg

Inproceedings3235: Unterschied zwischen den Versionen

Aus Aifbportal
Wechseln zu:Navigation, Suche
Zeile 23: Zeile 23:
 
|Abstract=We here present a vision of what needs to be addressed when
 
|Abstract=We here present a vision of what needs to be addressed when
 
designing and publishing linked data on the Web. Our approach aims
 
designing and publishing linked data on the Web. Our approach aims
at reducing the amount of incorrect, irrelevant, or redundant content {
+
at reducing the amount of incorrect, irrelevant, or redundant content -
which can also be seen as pollution in the Web of Data { when publishing
+
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
 
linked data. At the foundation lie the design principles adapted from
 
green engineering.We envision a holistic framework that evaluates, along
 
green engineering.We envision a holistic framework that evaluates, along
 
these principles and their respective assessment metrics, datasets from
 
these principles and their respective assessment metrics, datasets from
publishers and allows con�figuration of new validation tools.
+
publishers and allows configuration of new validation tools.
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement
 
}}
 
}}

Version vom 20. Januar 2012, 19:31 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 VeröffentlichungNote: 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