TY - CHAP
T1 - Analyzing ethnopharmacological data matrices on traditional uses of medicinal plants with the contribution of partial order techniques
AU - Pirintsos, Stergios
AU - Bariotakis, Michael
AU - Laina, Danae
AU - Lionis, Christos
AU - Castanas, Elias
AU - Bruggemann, Rainer
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Undoubtedly, the use of ethnobotanical and ethnopharmacological knowledge is of high priority worldwide, especially in fields such as drug development. Beginning in the 20th century, in the period of academic ethnobotany, the fields of ethnobotany and ethnopharmacology experienced a shift from the raw compilation of data to a greater methodological and conceptual reorientation. Nevertheless, a lot of ethnopharmacological knowledge is still unprocessed and there is plenty of space for handling this knowledge through several methodologies. Here we attempt to demonstrate an implementation of Partial Order Techniques, processing ethnopharmacological information, with the purpose to reveal inner structures and characteristics of raw data, which could potentially contribute in the conceptualization and management of ethnopharmacological knowledge. The results are promising, especially in the incorporation of rank order criteria in the classification of medicinal flora, in the revealing of trends in medicinal uses of closely related taxa, independently of whether the close relatedness is based on phylogeny or not, and in the comparison of ethnopharmacological data sets, revealing similarities in the order structure of the data.
AB - Undoubtedly, the use of ethnobotanical and ethnopharmacological knowledge is of high priority worldwide, especially in fields such as drug development. Beginning in the 20th century, in the period of academic ethnobotany, the fields of ethnobotany and ethnopharmacology experienced a shift from the raw compilation of data to a greater methodological and conceptual reorientation. Nevertheless, a lot of ethnopharmacological knowledge is still unprocessed and there is plenty of space for handling this knowledge through several methodologies. Here we attempt to demonstrate an implementation of Partial Order Techniques, processing ethnopharmacological information, with the purpose to reveal inner structures and characteristics of raw data, which could potentially contribute in the conceptualization and management of ethnopharmacological knowledge. The results are promising, especially in the incorporation of rank order criteria in the classification of medicinal flora, in the revealing of trends in medicinal uses of closely related taxa, independently of whether the close relatedness is based on phylogeny or not, and in the comparison of ethnopharmacological data sets, revealing similarities in the order structure of the data.
UR - http://www.scopus.com/inward/record.url?scp=85029127669&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-45421-4_18
DO - 10.1007/978-3-319-45421-4_18
M3 - Chapter
AN - SCOPUS:85029127669
SN - 9783319454191
SP - 251
EP - 272
BT - Partial Order Concepts in Applied Sciences
PB - Springer International Publishing
ER -