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We describe our web-based system for the analysis of students' results on the course Fundamentals of Electrical Engineering by applying the method of Formal Concept Analysis. We have focused on the students' answers and constructed their concept lattices or taxonomies of the subject matter. Finally, we have shown that this approach corresponds well with the actual students' overall results and final...
The study of traditional text filtering with keywords retrieval ignores the semantic relations between keywords, and it results in the bottleneck of the further development of text filtering. To solve this problem, three steps are adopted. Firstly, concept lattice theory should be introduced into traditional text filtering, the formal context is employed to organize filtering text and domain feature...
In order to handle vague information of ontology mapping, a novel method based on the Fuzzy Formal Concept Analysis (FCA) theory was proposed. The ontology was first defined to model vague data, and then a fuzzy formal context was constructed with the combination of two ontologies. At last, a concept similarity measure model was proposed for improving ontology mapping. Compared with other ontology...
Assessing concept similarity is an importance activity in ontology engineering. In this paper, a new similarity measure model is proposed, in which the information content of meet-irreducible elements is employed to evaluate the similarity degree of the two concepts of concept lattice. The proposed method combines featural and structural information into decision and preserves more structure information...
In the large-scale formal context, time efficiency will be reduced, if using semantic distance to calculate the concept similarity. In this paper, a calculation method of similarity about the concept in the formal context was designed by using the inclusion degree theory. Firstly, probability distribution and probability measure was defined. The probability measure was taken as a fuzzy measure of...
Based on the formal concept analysis, combining the rough set and semantic ontology, this paper proposes a formal concept similarity measurement by improving the original Tversky similarity model. The method used the hierarchical information of concept lattice in the lattice structure and its own semantic meaning to measure the similarity of from the structure information of the concepts and semantic...
Ontology is widely used in the computer domain to structure concepts that represent a view of world. In this paper, we present the coordination between two Agent Crawlers based on ontology and try to measure the understanding between them relying on Formal Concept Analysis instead of comparing terms only. Here we propose a novel method on concept similarity for computing the Concept-Concept similarity,...
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