The aim of this paper is to describe and discuss some results from an ethnographic research on Argentinian Mbya communities focused on representations and practices related to childrearing and development during the first stages of life course.
Firstly, I describe…

Most unsupervised indigenous knowledge (IK) are known to be very useful in combating critical health issues as well as being dangerous if the administration is abused. Despite the fact that these locally prepared herbal medicine are not encouraged to be…

Background: Fieldwork has thoroughly established that most eggs are intensely predated. Among the few exceptions are the aerial egg clutches from the aquatic snail Pomacea canaliculata which have virtually no predators. Its defenses are advertised by the pigmented ovorubin perivitellin…

This work describes the ontology construction process for the development of an Intelligent System for the Organization and Retrieval of Knowledge in Biodiversity – SISBIO. The system aims at the production of strategic information for the biofuel chain Two main…

This study set sights at the issue of predominance of the attitude and behavior of self medication, medication storage and self treatment among female students of a Pakistani university. Random sampling and cross sectional surveys were conducted after collecting the…

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of…

We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the…

Lawyers often need to look for previous similar legal cases when analysing new ones.
The more previous cases, the more time is spent. Classical search engines execute termbased retrieval, which may miss relevant documents as well as fetch several irrelevant…

The general objective of this thesis is the development of an adaptive technique for extracting knowledge in large databases. Nowadays, technology allows storing huge volumes of information. For this reason, the availability of techniques that allow, as a first stage,…

Artificial Intelligence has long dealt with the issue of finding a suitable formalization for reasoning with incomplete and potentially inconsistent information. Defeasible argumentation [SL92,CML00,PraVre99] has proven to be a successful approach in many respects, since it naturally resembles many aspects…