Abstract :
In the present work, a knowledge representation of Computer Networks technical text, according to the Denhiere-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.
Keywords :
computer networks; computer science education; educational administrative data processing; inference mechanisms; knowledge acquisition; knowledge representation; professional communication; text analysis; Denhiere-Baudet text comprehension model; automated knowledge extraction; automated normalized answers assessment system; automated reasoning; computer networks technical text; functional system operations; knowledge representation; text comprehension theory; Bridges; Cognitive science; Computer networks; Data mining; Event detection; Feedback; Informatics; Knowledge representation; Microstructure; Virtual manufacturing; Assessment; knowledge representation; macrostructure; microstructure; normalized answer;
