@inproceedings{LNCS58230537,
  abstract = {RDF data are usually accessed using one of two methods:
either, graphs are rendered in forms perceivable by human users (e.g.,
in tabular or in graphical form), which are difficult to handle for large
data sets. Alternatively, query languages like SPARQL provide means
to express information needs in structured form; hence they are targeted
towards developers and experts. Inspired by the concept of spreadsheet
tools, where users can perform relatively complex calculations by
splitting formulas and values across multiple cells, we have investigated
mechanisms that allow us to access RDF graphs in a more intuitive and
manageable, yet formally grounded manner. In this paper, we make three
contributions towards this direction. First, we present RDFunctions, an
algebra that consists of mappings between sets of RDF language elements
(URIs, blank nodes, and literals) under consideration of the triples
contained in a background graph. Second, we define a syntax for expressing
RDFunctions, which can be edited, parsed and evaluated. Third, we
discuss Tripcel, an implementation of RDFunctions using a spreadsheet
metaphor. Using this tool, users can easily edit and execute function
expressions and perform analysis tasks on the data stored in an RDF
graph.},
  added-at = {2009-11-03T13:45:41.000+0100},
  author = {Schandl, Bernhard},
  biburl = {http://www.bibsonomy.org/bibtex/25664fdd16d32b59aa5a3bb051b8cc43f/ivan_herman},
  booktitle = {The Semantic Web - ISWC 2009},
  editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad},
  interhash = {6625cb0526c338db83168149e0df9904},
  intrahash = {5664fdd16d32b59aa5a3bb051b8cc43f},
  isbn = {978-3-642-04929-3},
  keywords = {rdf semanticweb spreadsheet},
  location = {Heidelberg},
  pages = {537--552},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2009-11-03T13:45:41.000+0100},
  title = {Functions over RDF Language Elements},
  volume = 5823,
  year = 2009
}