Title :
A Fuzzy Knowledge Representation Model for Student Performance Assessment
Author :
Badie, Farshad ; Soru, Tiziana ; Lehmann, Jos
Author_Institution :
Dept. of Comput. Sci., Univ. of Leipzig, Leipzig, Germany
Abstract :
Knowledge representation models based on Fuzzy Description Logics (DLs) can provide a foundation for reasoning in intelligent learning environments. While basic DLs are suitable for expressing crisp concepts and binary relationships, Fuzzy DLs are capable of processing degrees of truth/completeness about vague or imprecise information. This paper tackles the issue of representing fuzzy classes using OWL2 in a dataset describing Performance Assessment Results of Students (PARS).
Keywords :
computer aided instruction; educational technology; fuzzy logic; inference mechanisms; knowledge representation languages; student experiments; OWL2; PARS; fuzzy description logics; fuzzy knowledge representation model; intelligent learning environments; performance assessment results of students; reasoning; Cognition; Data models; Fuzzy logic; Fuzzy sets; Ontologies; Semantic Web; E-Learning; Fuzzy Description Logic; Intelligent Educational System; Knowledge Representation; OWL2 Ontologies; Semantic Web;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
DOI :
10.1109/ICALT.2014.157
