- How Does Data Science Impact the Semantic Web? by Philip Bourne
- Semantic Web and the New Industrial Revolution by Dean Allemang
- Spinning a Semantic Web for Agriculture by Medha Devare.
How Does Data Science Impact the Semantic Web?
Semantic Web and the New Industrial Revolution
Dean Allemang is CEO and Principal Consultant at Working Ontologist, LLC, a firm devoted to the deployment of Semantic Web solutions. In this capacity, he has provided industrial-strength semantic solutions in a variety of industries, including finance, media, and government. He has served on review boards for semantic web programs for pharmaceuticals, health care and agriculture. As a long-time traveller in knowledge science (PhD in AI in 1990, worked at five different AI labs in Europe in the early 90’s, and co-founded one of those companies in the late 90’s that tried to invent the Semantic Web when the standards were just a gleam in the eye of a few W3C folks), Dean has a broad perspective on how knowledge-based systems can be appied in a variety of contexts. Dean co-author of Semantic Web for the Working Ontologist, the best-selling book on the Semantic Web, and is expert on the W3C semantic web standards, including RDF, RDFS, OWL, SPARL, SKOS and SHACL. With a PhD in Computer Science (as a NSF Fellow at Ohio State) and a MSc in Pure Mathematics (as a Marshall Scholar at Trinity College, Cambridge), he brings a formal approach to semantic modeling, which he couples with over 15 years experience of successful business deployments of knowledge technology. Dean is a repeat winner of the Swiss Technology Center award for Innovation.
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.