Semantic Technologies for Big Sciences including Astrophysics
Channel: AI Institute at UofSC - #AIISC
Date: 2015-02-10

Amit Sheth, "Semantic Technologies for Big Sciences including Astrophysics," invited/plenary presentation at the
EarthCube End-User Workshop on Science-Driven Cyberinfrastructure Needs in Solar Terrestrial Research, NJIT, New Jersey, August 13-15, 2014.

Like many other fields of Big Science, Astrophysics and Solar Physics deal with the challenges of Big Data, including Volume, Variety, Velocity, and Veracity.  There is already significant work on handling volume related challenges, including the use of high performance computing. In this talk, we will mainly focus on other challenges from the perspective of collaborative sharing and reuse of broad variety of data created by multiple stakeholders, large and small, along with tools that offer semantic variants of search, browsing, integration and discovery capabilities. We will borrow examples of tools and capabilities from state of the art work in supporting physicists (including astrophysicists) [1], life sciences [2], material sciences [3], and describe the role of semantics and semantic technologies that make these capabilities possible or easier to realize.  This applied and practice oriented talk will complement more vision oriented counterparts [4].

[1] Science Web-based Interactive Semantic Environment: http://sciencewise.info/ 
[2] NCBO Bioportal: http://bioportal.bioontology.org/ , Kno.e.sis’s work on Semantic Web for Healthcare and Life Sciences: http://knoesis.org/amit/hcls 
[3] MaterialWays (a Materials Genome Initiative related project): http://wiki.knoesis.org/index.php/MaterialWays 
[4] From Big Data to Smart Data: http://wiki.knoesis.org/index.php/Smart_Data