The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. Resolving the ambiguity in these texts is an important step for any following analysis tasks. In this paper, we present a new method for one type of ambiguity resolving -term disambiguation. The method is based on ma...

Measuring the semantic meaning between words is an important issue because it is the basis for many applications, such as word sense disambiguation, document summarization, and so forth. Although it has been explored for several decades, most of the studies focus on improving the effectiveness of the problem, i.e., precision and recall. In this paper, we propose to address the efficiency issue,...

This paper presents an empirical evaluation of the quality of publicly available large-scale knowledge resources. The study includes a wide range of manually and automatically derived large-scale knowledge resources. In order to establish a fair and neutral comparison, the quality of each knowledge resource is indirectly evaluated using the same method on a Word Sense Disambiguation task. The e...

Many attempts have been made to apply crop remote sensing systems within precision agriculture. Despite e.g. the Hydro N-Sensor seems to operate quite well, no significant implementation in precision agriculture has occurred yet. This paper describes a low-cost, robust, simple, and modular measuring device based on existing technology for monitoring the spatial variation of the performance of f...

India is an agricultural Country and 56.6% of its population depends on agriculture. Designing a Decision Support System (DSS) for crop cultivation enables the farmers to make effective decision for higher yield. The parameters that are considered for the enhancement of a seasonal crop growth are type of soil and season, Insects-Pests management, irrigation methodologies. The main aim of the wo...