Paper Info
Title
GR2RSS: Publishing Linked Open Commerce Data as RSS and Atom Feeds
Abstract
The integration of Linked Open Data (LOD) content in Web pages is a challenging and sometimes tedious task for Web developers. At the same moment, most software packages for blogs, content management systems (CMS), and shop applications support the consumption of feed formats, namely RSS and Atom. In this technical report, we demonstrate an on-line tool that fetches e-commerce data from a SPARQL endpoint and syndicates obtained results as RSS or Atom feeds. Our approach combines (1) the popularity and broad tooling support of existing feed formats, (2) the precision of queries against structured data built upon common Web vocabularies like schema.org, GoodRelations, FOAF, VCard, and WGS 84, and (3) the ease of integrating content from a large number of Web sites and other data sources in RDF in general.
Year
Venue
Field
2015
CoRR
Data mining,World Wide Web,FOAF,Information retrieval,Web page,Computer science,Linked data,SPARQL,Software,Data model,RSS,RDF
DocType
Volume
Citations 
Journal
abs/1509.00190
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Alex Stolz1206.18
Martin Hepp215614.15