Abstract | ||
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The use of RDF data published on the Web for applications is still a cumbersome and resource-intensive task due to the limited software support and the lack of standard programming paradigms to deal with everyday problems such as combination of RDF data from dierent sources, object identifier consolidation, ontology alignment and mediation, or plain querying and filtering tasks. In this paper we present a framework, Semantic Web Pipes, that supports fast implementation of Semantic data mash-ups while preserving desirable properties such as abstraction, encapsulation, component-orientation, code re-usability and maintainability which are common and well supported in other application areas. |
Year | DOI | Venue |
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2009 | 10.1145/1526709.1526788 | WWW |
Keywords | Field | DocType |
semantic web pipe,fast implementation,desirable property,identifier consolidation,rapid prototyping,semantic data mash-ups,semantic web pipes,rdf data,semantic mash-ups,code re-usability,dierent source,application area,everyday problem,ontology alignment,mash up,rdf,semantic web | Data mining,World Wide Web,Semantic Web Stack,Computer science,Semantic Web,Linked data,SPARQL,Semantic analytics,Social Semantic Web,Semantic Web Rule Language,Semantic computing | Conference |
Citations | PageRank | References |
77 | 6.62 | 12 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Danh Le Phuoc | 1 | 329 | 24.60 |
Axel Polleres | 2 | 2856 | 198.63 |
Manfred Hauswirth | 3 | 3295 | 225.02 |
Giovanni Tummarello | 4 | 1106 | 104.63 |
Christian Morbidoni | 5 | 289 | 37.76 |