Supporting social navigation on the World Wide Web
International Journal of Human-Computer Studies - Special issue: innovative applications of the World Wide Web
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Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
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ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
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Expert Systems with Applications: An International Journal
A novel attribute reduction approach based on the object oriented concept lattice
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
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Knowledge-Based Systems
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Relating attribute reduction in formal, object-oriented and property-oriented concept lattices
Computers & Mathematics with Applications
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PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
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Information Systems Frontiers
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IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Rule acquisition and complexity reduction in formal decision contexts
International Journal of Approximate Reasoning
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Information Processing and Management: an International Journal
Hi-index | 12.05 |
We capture student interactions in an e-learning community to construct a semantic web (SW) to create a collective meta-knowledge structure guiding students as they search the existing knowledge corpus. We use formal concept analysis (FCA) as a knowledge acquisition tool to process the students virtual surfing trails to express and exploit the dependencies between web-pages to yield subsequent and more effective focused search results. We mirror social navigation and bypass the cumbersome manual annotation of webpages and at the same time paralleling social navigation for knowledge. We present our system KAPUST2 (Keeper and Processor of User Surfing Trails) which constructs from captured students trails a conceptual lattice guiding student queries. We use KAPUST as an e-learning software for an undergraduate class over two semesters. We show how the lattice evolved over the two semesters, improving its performance by exploring the relationship between 'kinds' of research assignments and the e-learning semantic web development. Course instructors monitored the evolution of the lattice with interesting positive pedagogical consequences. These are reported as well in this paper.