The appropriate selection of both pictorial and linguistic experimental stimuli requires a previous languagespecific standardization process of the materials across different variables. Considering that such normative data have not yet been collected for Modern Greek, in this study normative data for the color version of the Snodgrass and Vanderwart picture set (Rossion & Pourtois, 2004) were collected from 330 native Greek adults. Participants named the pictures (providing name agreement ratings) and rated them for visual complexity and age of acquisition. The obtained measures represent a useful tool for further research on Greek language processing and constitute the first picture normative study for this language. The picture norms from this study and previous ones may be downloaded from brm.psychonomic-journals.org/content/supplemental.

In the present work, a knowledge representation of Computer Networks technical text, according to the Denhière-Baudet text comprehension model, is presented. The semantic relations among units and events of a technical text can be expressed by structures, as microstructure and macrostructure. Furthermore, the explicit and implicit knowledge representation, and the micro and macrostructure representation of the functional system operations, depicted in this text, is provided. The presented methodology can support automated reasoning, through the knowledge representation, which leads to automated knowledge extraction from a technical text, and, subsequentially, to automated normalized answers assessment.

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