semantic strategies are a kind of discourse strategy that include the sum of language and cognitive moves which are used to reach an adequate goal of communication normally resulting in text comprehension by the reader or listener. here, the language user takes a number of steps in order to perform a complex task. semantic strategies in prejudiced talk have been examined extensively in western ...

Literature search as a fundamental, complex and time-consuming step in a literature research process is part of many established scientific methods. It is still predominantly supported by search techniques based on conventional term-matching methods. We address the lack of semantic approaches in this context by proposing an enhancement of the literature research process with a prototype of our ...

Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...

firdausi shahnameh has been illustrated more than any other literary work in the history of persian paintings. so far, many studies have been carried out on these historical paintings of shahnameh. most of these studies have been formalistic and have been considered to be merely representational works of written text. those studies have been focused on form, performing techniques and style clas...

viability of verse is interrelated to its multiple layer nature and legibility. being affected by western poetry and criticism in the middle of 20th century, this trend entered arabic contemporary verse into a new stage and made it as a field for activity of national and international myths. badr shakir al- siab was one of premier innovative arabic poets that he has highly benefitted from myste...

Centroids are key components in many data analysis algorithms such as clustering or microaggregation. They are understood as the central value that minimises the distance to all the objects in a dataset or cluster. Methods for centroid construction are mainly devoted to datasets with numerical and categorical attributes, focusing on the numerical and distributional properties of data. Textual a...