@techreport{TR-IC-13-01,
   number = {IC-13-01},
   author = {Luiz Gomes-Jr and André Santanchè},
   title  =  {{The  Web  Within:  leveraging  Web  standards and graph
                   analysis to enable application-level integration of
                   institutional data}},
   month = {January},
   year = {2013},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 22 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The  expansion  of the Web and of our capacity of producing and
       storing  information  have  had a profound impact on the way we
       organize,  manipulate and share data. We have seen an increased
       specialization of database back-ends and data models to respond
       to  modern  application  needs:  text indexing engines organize
       unstructured data, standards and models were created to support
       the  Semantic Web, BigData requirements stimulated an explosion
       of  data  representation  and manipulation models. This complex
       and  heterogeneous  environment demands unified strategies that
       enable  data  integration  and,  especially, cross-application,
       expressive  querying.  \par  Here we present a new approach for
       the  integration  of  structured  and  unstructured data within
       organizations.  In  our  framework,  diverse  data  models  are 
       integrated  in a unifying graph. A novel query model allows the
       combination of concepts from Information Retrieval and Database
       Management  Systems  into  a  declarative  query language. This
       query  language  enables  flexible correlation queries over the
       unified  data  that  can  be  used  to  support a wide range of
       applications. \par We show how Web technologies such as RDF can
       be  leveraged to integrate institutional data. In our approach,
       the  SPARQL  query language is extended to enable the new query
       model.  We also present examples of application of the model in
       several  areas,  such  as  CMSs, recommendation systems, social
       networks,  etc.  Experimental results demonstrate the viability
       of our approach in real scenarios.
  }
}