- How Does Data Science Impact the Semantic Web? – Philip Bourne
- Semantic Web and the New Industrial Revolution – Dean Allemang
- Spinning a Semantic Web for Agriculture – Medha Devare
How Does Data Science Impact the Semantic Web?
Semantic Web and the New Industrial Revolution
Spinning a Semantic Web for Agriculture
CGIAR is a global research partnership of 15 Centers primarily located in developing countries, working in the agricultural research for development sector.
The CGIAR system is charged with tackling challenges at a variety of scales from the local to the global, which generally means being able to query and/or aggregate a variety of data types and streams. CGIAR aspires to FAIRness in its research outputs, and while progress is being made, the I of FAIR is the frog that doesn’t readily turn into a prince for the FAIR ringmistress in this tale. Yet, interoperability – particularly semantic interoperability— is critical to providing meaning and context to CGIAR’s varied information resources and enabling integration between linked or related data (e.g. an agronomic data set and related socioeconomic data).
CGIAR’s approach to interoperability and data harmonization focuses on the use of standard vocabularies, and strong reliance on ontologies developed across CGIAR (efforts such as the Crop Ontology, the Agronomy Ontology – AgrO, the in-development socioeconomic ontology – SociO), and other entities (ENVO, UO, PO etc.) Spinning these into a semantic web for agriculture is a primary focus of the CGIAR’s Big Data Platform for Agriculture, and its Global Agricultural Research Data Innovation and Acceleration Network (GARDIAN).
GARDIAN is intended to provide seamless, semantically-linked access to CGIAR publications and data, to demonstrate the full value of CGIAR research, enable new analyses and discovery, and enhance impact.
In this talk, I will discuss CGIAR’s path to a FAIRy tale ending, complete with the sticky considerations entailed in web-spinning.
Medha Devare Ph.D. is Senior Research Fellow with the International Food Policy Research Institute (IFPRI). She led the CGIAR System‘s Open Access/Open Data Initiative, and currently leads efforts to organize data and enable semantic interoperability across CGIAR’s 15 agriculture for development-focused Centers through its Big Data Platform. Medha is a Cropping Systems Agronomist with significant experience leading projects addressing food security and sustainable resource management in South Asia. She also has expertise in data management and semantic web tools; while at Cornell University, she was instrumental in the development of VIVO, a semantic web application for representing academic scholarship.