Abstract—Bioenergy is a renewable energy and is generated
by treating biomass with various technologies. Depending upon
the nature of biomass, it is more suitable for one technology than
others, and they can further be treated with other technologies.
Hence, the biomass follows a pathway of technologies, and the
pathway is called bioenergy pathway. Currently, bioenergy
pathways are created manually: either by manually sketching or
by creating the data manually and generating diagrams from the
data. Manually generated pathways are prone to human errors.
A solution to this is creating semantic pathways automatically.
In this paper, we present the bioenergy ontology to generate
semantic pathways automatically. In particular, we have
leveraged the Semantic Web technologies to represent the
bioenergy knowledge and inferred the pathways. The case study
has been carried out in one of the INTERREG Project and
found promising results.
Index Terms—Bioenergy ontology, pathway, semantic
pathway, bioenergy conversion pathways, bioenergy routes,
biomass, bioenergy.
Krishna Sapkota, Pathmeswaran Raju, Craig Chapman, and William
Byrne are with Centre for Knowledge Based Engineering, Birmingham City
University, Birmingham, UK (e-mail: krishna.sapkota@bcu.ac.uk,
path.raju@bcu.ac.uk, craig.chapman@bcu.ac.uk,
william.byrne@bcu.ac.uk).
Lynsey Melville is with Centre for Low Carbon Research, Birmingham
City University, Birmingham, UK (e-mail: lynsey.melville@bcu.ac.uk).
[PDF]
Cite: Krishna Sapkota, Pathmeswaran Raju, Craig Chapma, William Byrne, and Lynsey Melville, "Bioenergy Ontology for Automatic Pathway Generation," International Journal of Knowledge Engineering vol. 1, no. 1, pp. 1-8, 2015.
