- From: Eric Neumann <eneumann@teranode.com>
- Date: Tue, 28 Aug 2007 19:09:50 -0400
- To: "Tim Finin" <finin@cs.umbc.edu>, public-semweb-lifesci@w3.org
- Message-ID: <E7092F10DB73FA43AE0E59F2DCDAA6360A9247@MI8NYCMAIL04.Mi8.com>
Tim, Thank you for providing this useful link to a SW resource. I have a question : does your conversion assume each column can be represented as only a predicate type? If so, what about cases where the columns indicate objects, as in the gene expession as per the below example: ------ tissue1 tissue2 tissue3 tissue4 ... geneA val# val# val# val# ... geneB val# val# val# val# ... geneC val# val# val# val# ... geneD val# val# val# val# ... ... ... ... ... ... ... I wasn't able to determine this from you link... -Eric -----Original Message----- From: public-semweb-lifesci-request@w3.org on behalf of Tim Finin Sent: Tue 8/28/2007 12:43 AM To: public-semweb-lifesci@w3.org Subject: RDF123 maps spreadsheet data to RDF RDF123 is an application and web service for converting data in simple spreadsheets to an RDF graph. The spreadsheets must consist of a single table with or without header rows. Users control how the spreadsheet's data is converted to RDF by constructing a graphical RDF123 template that specifies how each row in the spreadsheet is converted as well as metadata for the spreadsheet and its RDF translation. The graph produced for the spreadsheet is the union of the sub-graphs created for each row. The template itself is stored as a valid RDF document encouraging reuse and extensibility. The software is available in several versions (java, windows exe, Linux binary, and Java servlet). We are very interested in feedback and suggestions. for more information, see http://ebiquity.umbc.edu/blogger/2007/08/18/rdf123-maps-spreadsheet-data-to-rdf/ -- Tim Finin, Computer Science & Electrical Engineering, Univ of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore MD 21250. finin@umbc.edu http://umbc.edu/~finin 410-455-3522 fax:-3969 http://ebiquity.umbc.edu
Received on Tuesday, 28 August 2007 23:09:42 UTC