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DTSTAMP:20210916T132528Z
LOCATION:Henry Dunant
DTSTART;TZID=Europe/Stockholm:20210708T170000
DTEND;TZID=Europe/Stockholm:20210708T190000
UID:submissions.pasc-conference.org_PASC21_sess127@linklings.com
SUMMARY:Toward Semantic Integration of Biological Resources
DESCRIPTION:Minisymposium\n\nOne major potential and promise of big data a
 nalysis lies in the simultaneous mining andintegration of multiple heterog
 eneous sources of data. In life sciences, recent years have seenthe increa
 sing availability of biological and bioinformatic databases using the Reso
 urceDescription Framework (RDF), which facilitates automatic data processi
 ng andinteroperability. However, there are major stumbling blocks on the p
 ath to mass adoption.The complexity of general-purpose models, inconsisten
 t data models, and low usability aresome of the challenges that hamper the
  use of RDF resources by the bulk of biologicalresearchers. This mini-symp
 osium brings together specialists on semantic data integration inlife scie
 nce and will provide a forum to explore innovative solutions to fulfil the
  potential ofbig data integration.\n\nSwift Integration of Knowledge in Wi
 kidata through Linked Data (RDF) and Schemas (ShEx)\n\nWaagmeester\n\nWiki
 data is the linked-data repository of Wikipedia. Initially intended as a s
 ource for structured data for the various language editions, Wikidata has 
 matured into a sister project to Wikidata. It has become a scoreless knowl
 edge graph which use extends Wikipedia. This talk will present the Gene Wi
 ...\n\n---------------------\nDistilling Structured Knowledge from Cancer 
 Biomarker Literature with INODE\n\nPapadopoulos\n\nBiology is emerging as 
 a data-driven science, characterized by an exponential increase in the num
 ber of published articles and other relevant resources. This abundance of 
 unstructured biomedical data is rendering the task of keeping up with the 
 rapidly growing literature virtually impossible for mos...\n\n------------
 ---------\nAutomated Chemical Ontology Expansion for Semantic Integration 
 in Metabolism\n\nHastings\n\nSmall molecular metabolites are increasingly 
 being recognised as fundamental regulators of biological processes. Techno
 logies such as metabolomics are able to quantify hundreds of metabolites i
 n biological samples. However, methods for interpretation of metabolic dif
 ferences lag behind other -omics ...\n\n---------------------\nWeb Pages, 
 Databases, Knowledge Graphs... Considering Separated Web Data Sources as a
  Continuum\n\nMichel\n\nEver increasing amounts of data are published on t
 he web using a large scope of techniques. These techniques range from simp
 le web pages, to large siloed approaches gathering data from multiple sour
 ces, or distributed knowledge graphs relying on the linked data principles
 . Leveraging knowledge engin...\n\n\nDomain: CS and Math, Chemistry and Ma
 terials, Life Sciences
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