Conceptual Structures Leveraging Semantic Technologies
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Conceptual Structures: Leveraging Semantic Technologies
Author: Sebastian Rudolph
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-07-25
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.
Conceptual Structures: From Information to Intelligence
Author: Madalina Croitoru
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-07-07
This book constitutes the proceedings of the 18th International Conference on Conceptual Structures, ICCS 2010, held in Kuching, Sarawak, Malaysia, in July 2010. The 12 full papers and 6 posters presented were carefully reviewed and selected from 36 submissions. The volume also contains 5 invited talks. Originally centered around research on knowledge representation and reasoning with conceptual graphs, over the years ICCS has broadened its scopt 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.
Conceptual Exploration
This is the first textbook on attribute exploration, its theory, its algorithms forapplications, and some of its many possible generalizations. Attribute explorationis useful for acquiring structured knowledge through an interactive process, byasking queries to an expert. Generalizations that handle incomplete, faulty, orimprecise data are discussed, but the focus lies on knowledge extraction from areliable information source.The method is based on Formal Concept Analysis, a mathematical theory ofconcepts and concept hierarchies, and uses its expressive diagrams. The presentationis self-contained. It provides an introduction to Formal Concept Analysiswith emphasis on its ability to derive algebraic structures from qualitative data,which can be represented in meaningful and precise graphics.