Abstract—Knowledge has the potential to become data in a
sense that it can be used for deriving new ideas, relating new
disciplines and more importantly expressing facts in ways that
have only been possible through publication of documents.
Using methods for quantifying knowledge about agriculture, the
underutilised crop knowledge-based system will make the
promotion and research on these neglected crops for food and
non-food purposes more widespread. The knowledge database
will store facts of interest about unknown crops from the peer
reviewed and verified sources. The database design will follow
standard vocabularies and ontologies that are developed
through years by the agricultural community. These standard
ontologies will provide ground for the development of semantic
products like ‘query system’ and ‘answer engines’ that can
provide direct answers to direct questions. The actual
information will also be linked to real experimental data created
by research groups through the other component that is called
collaborative research environment (CRE) that is aimed to
provide an online environment for research data curatorship
and analysis. In this context standard vocabularies and ontology
languages will be used for metadata storage and retrieval as well
as relating research data to knowledge.
Index Terms—Knowledge-based system, agriculture, answer
engine, semantic product.
E. Jahanshiri is with the University of Nottingham Malaysia, Campus
Jalan Broga, 43500 Semenyih Selangor Darul Ehsan, Malaysia (e-mail:
ebrahim.jahanshiri@cffresearch.org).
S. Walker is with the University of the Free State, Bloemfontein, South
Africa. She is also with the University of Nottingham Malaysia Campus
Jalan Broga, 43500 Semenyih Selangor Darul Ehsan, Malaysia (e-mail:
sue.walker@cffresearch.org).
[PDF]
Cite: E. Jahanshiri and S. Walker, "Agricultural Knowledge-Based Systems at the Age of Semantic Technologies," International Journal of Knowledge Engineering vol. 1, no. 1, pp. 64-67, 2015.
