2012/1/29 Andreas Kuckartz <[email protected]>: > John wrote: > >>> As a result of this intelligent population, personnel at the >>> HR dep. would be able to formulate queries such as (just an > exemplification): >>> - All CV of people living in Paris older then 27 years >>> - All CV of people with skills in SQL server and Java >>> - All people wich worked in an high tech company since november 2011 > up to now > > The first two query examples do not seem to require semantic > technologies, they are usual filters in applications which are using > ordinary relational databases.
Semantic technologies would still be useful for extracting the latent knowledge of the CV documents into a structured representation with classes and properties (Skill, Organization, Location...) with links to generic linked data knowledge bases (e.g. DBpedia or Freebase or Geonames for organizations and places) or domain specific knowledge bases (e.g. skills and organizations with the LinkedIn API). If the data is linked to rich entities it is possible to do queries involving the hierarchical structures of places (World regions > Countries > Regions > Cities), of organizations (Types of organizations (Gov, Not for profit, Commercial) > Industries) or of skills (IT > Software development > Java). > But the last example looks more > interesting because of the "high tech company". The user interface > probably would have to take that into account (most people working in HR > departments do not know anything about SPARQL). No user at all should ever have to write SPARQL queries. SPARQL is not user interface, it's machine interface. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel
