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DTSTAMP:20210916T132453Z
LOCATION:Henry Dunant
DTSTART;TZID=Europe/Stockholm:20210708T170000
DTEND;TZID=Europe/Stockholm:20210708T173000
UID:submissions.pasc-conference.org_PASC21_sess127_msa241@linklings.com
SUMMARY:Web Pages, Databases, Knowledge Graphs... Considering Separated We
 b Data Sources as a Continuum
DESCRIPTION:Minisymposium\n\nWeb Pages, Databases, Knowledge Graphs... Con
 sidering Separated Web Data Sources as a Continuum\n\nMichel\n\nEver incre
 asing amounts of data are published on the web using a large scope of tech
 niques. These techniques range from simple web pages, to large siloed appr
 oaches gathering data from multiple sources, or distributed knowledge grap
 hs relying on the linked data principles. Leveraging knowledge engineering
  and semantic web approaches can help in building bridges between these di
 sconnected sources, and eventually achieve their integration to help advan
 ce research and develop more clever applications. In this talk, I will tou
 ch upon some of these approaches: the mapping-based lifting of legacy data
  to RDF, and the querying of Web APIs with SPARQL. I will illustrate how w
 e apply those different techniques to make sense and integrate biodiversit
 y data. Finally, I will suggest that marking up biology-related web pages 
 with appropriate terms may be a way to leverage information that is largel
 y unexploited so far, and may spur the development of novel, web-scale, da
 ta integration scenarios.\n\nDomain: CS and Math, Chemistry and Materials,
  Life Sciences
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