%0 Journal Article
	%A José Neves and  M. Rosário Martins and  Fátima Candeias and  Diana Ferreira and  Sílvia Arantes and  Júlio Cruz-Morais and  Guida Gomes and  Joaquim Macedo and  António Abelha and  Henrique Vicente
	%D 2015
	%J International Journal of Bioengineering and Life Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 103, 2015
	%T Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
	%U https://publications.waset.org/pdf/10001626
	%V 103
	%X Some plants of genus Schinus have been used in the
folk medicine as topical antiseptic, digestive, purgative, diuretic,
analgesic or antidepressant, and also for respiratory and urinary
infections. Chemical composition of essential oils of S. molle and S.
terebinthifolius had been evaluated and presented high variability
according with the part of the plant studied and with the geographic
and climatic regions. The pharmacological properties, namely
antimicrobial, anti-tumoural and anti-inflammatory activities are
conditioned by chemical composition of essential oils. Taking into
account the difficulty to infer the pharmacological properties of
Schinus essential oils without hard experimental approach, this work
will focus on the development of a decision support system, in terms
of its knowledge representation and reasoning procedures, under a
formal framework based on Logic Programming, complemented with
an approach to computing centered on Artificial Neural Networks
and the respective Degree-of-Confidence that one has on such an
occurrence.
	%P 728 - 733