I disagree. RDF helps discourage semantic heterogeneity by encouraging RDF vocabulary reuse. RDF vocabularies that publish themselves as Linked Data help even more.
Jeff Sent via a cracked screen :-( On Jun 22, 2013, at 9:34 PM, "Pascal Hitzler" <[email protected]> wrote: > > > On 6/22/2013 6:11 PM, Michael Brunnbauer wrote: >> >> Hello Dominic, >> >> RDF solves the problem of syntactic heterogeneity. The problems of schematic >> and structural heterogeneity are only eased a bit and the problem of semantic >> heterogeneity stays. > > +1 > > P. > >> In order to integrate data, you still have to find data and deliberate - >> for example do mappings between ontologies or identifiers. >> >> Such mappings will only be done if it has value. The assumption of this >> community is that many mappings that have value have not already be done. >> >> I have some doubts concerning this so my answer to your questions is: Maybe >> those linked data / RDF applications are not there because they have already >> been done without those technologies - the low hanging fruits have already >> been picked. Maybe we don't have the bank statement being mashed with >> geographical data to show your itinerary because nobody cares. >> >> I am sure that much value can still be unlocked with better adoption as more >> people use the same properties and identifiers - and better aggregators can >> be >> queried for data. But I would not expect a wonder. >> >> As to the argument that applications are so much easier with RDB technology: >> How much did you struggle when you first used a SQL database ? >> >> Regards, >> >> Michael Brunnbauer >> >> On Sat, Jun 22, 2013 at 07:28:40PM +0100, Dominic Oldman wrote: >>> Yes, tabular doesn't count. >>> >>> I want to have the same functionality that I get from my internal >>> relational database systems extended to reap the benefits of the semantic >>> web. >>> >>> Do I recall articles by TBL talking about every day functionality being >>> injected with semantic benefits. Wasn't there a use case about your bank >>> statement being mashed with geographical data to show your itinerary. That >>> would be on the very basic end of what I am taking about. I am taking about >>> merging rich datasets to allow functionality making real use of densities >>> of data to correct, infer, produce and to collaborate - and in rich >>> interfaces that don't hint of a triple, but just leverage them. >>> >>> Where are these applications and what is required, on top of RDF, to create >>> them. Was Jeff right with his first reply? >>> >>> Dominic >>> >>> Sent from Yahoo! Mail on Android >>> >> > > -- > Prof. Dr. Pascal Hitzler > Kno.e.sis Center, Wright State University, Dayton, OH > [email protected] http://pascal-hitzler.de/ > Semantic Web Textbook: http://www.semantic-web-book.org/ > Semantic Web Journal: http://www.semantic-web-journal.net/ > > >
