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September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
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Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
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Conceptual Structures: Leveraging Semantic Technologies. 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009, Proceedings

Vol. 5662. Berlin , Heidelberg : Springer, 2009.
Academic editor: Rudolph S., Dau F., Kuznetsov S.

This book constitutes the refereed proceedings of the 17th International Conference on Conceptual Structures, ICCS 2009, which took place in Moscow, Russia, on July 26-31, 2009.

The 18 papers presented together with 5 invited contributions were carefully reviewed and selected from approximately 50 submissions. Originally centered around research on knowledge representation and reasoning with conceptual graphs, over the years ICCS has broadened its scope to include innovations from a wider range of theories and related practices, among them other forms of graph-based formalisms like RDF or existential graphs, formal concept analysis, semantic Web technologies, ontologies, concept mapping and more.

Chapters
From Triconcepts to Triclusters
Ignatov D. I., Kuznetsov S., , in: Conceptual Structures: Leveraging Semantic Technologies. 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009, ProceedingsVol. 5662.: Berlin, Heidelberg: Springer, 2009. P. 185–200.
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use an approach based on computing (closed) sets of attributes having large support (large extent) as clusters of similar documents. The method is tested in a ...
Added: December 9, 2012
Frequent Itemset Mining for Clustering Near Duplicate Web Documents
Ignatov D. I., Kuznetsov S., , in: Conceptual Structures: Leveraging Semantic Technologies. 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009, ProceedingsVol. 5662.: Berlin, Heidelberg: Springer, 2009. P. 185–200.
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use an approach based on computing (closed) sets of attributes having large support (large extent) as clusters of similar documents. The method is tested in a ...
Added: March 30, 2013
Research target: Philology and Linguistics Mathematics
Priority areas: mathematics engineering science
Language: English
Keywords: искусственный интеллектпонятийные структурыинформатикаанализ формальных понятийонтологииcognitionинженерия знанийcognitive technologiescomputational linguisticsдескриптивная логикакибернетикаматематическая кибернетикаartificial intelligence
Conceptual Structures: Leveraging Semantic Technologies. 17th International Conference on Conceptual Structures, ICCS 2009, Moscow, Russia, July 26-31, 2009, Proceedings
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