The paper describes an application of indexing-the technology currently widely used for processing and comparing textual information-to multi-dimensional entities of knowledge domains. We propose a model for building a frame-based ontology, which contains a domain conceptual model as well as…

Translation capability of a Phrase-Based Statistical Machine Translation (PBSMT) system mostly depends on parallel data and phrases that are not present in the training data are not correctly translated. This paper describes a method that efflciently expands the existing knowledge…

Automatic keyword extraction is an important subfield of information extraction process. It is a difficult task, where numerous different techniques and resources have been proposed. In this paper, we propose a generic approach to extract keyword from documents using encyclopedic…

In Kenya the belowground biodiversity project was implemented in Embu and Taita which are biodiversity hotspots. The objective of the BGBD project was to enhance awareness, knowledge and understanding of below ground biological diversity important for sustainable agricultural production by…

In this paper we present a fuzzy reasoning model and a designed system for Recognition of Facial Expressions, which can measure and recognize the intensity of basic or non-prototypical emotions. The proposed model operates with encoded facial deformations described in…

Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and…

This paper presents theoretical reflections on health promotion in the Brazilian public health context. Some characteristics and problems of the international debate are highlighted, but our focus is the position of health promotion as it is discussed in the Brazilian…

The morphology of larval stages of Diptera (Insecta) is little known, especially in the case of Sarcophagidae family larvae. Interest in sarcophagid larvae studies has increased with the step forward of forensic entomology, where they are considered potential indicators of…

Artificial Neural Networks (ANNs) are grouped within connectionist techniques of Artificial Intelligence. In particular, Recurrent Neural Networks are a type of ANN which is widely used in signal reproduction tasks and sequence analysis, where causal relationships in time and space…

There is a great deal of knowledge in online environments such as forums, chats and blogs. A large volume of comments with different subjects on a page has created a lot of complexity in following the actual conversation streams, since…