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

Keywords: искусственный интеллект, понятийные структуры, информатика, анализ формальных понятий, онтологии, cognition, инженерия знаний, cognitive technologies, computational linguistics, дескриптивная логика, кибернетика, математическая кибернетика, artificial intelligence