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|a 9783540318859
|9 978-3-540-31885-9
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|a 10.1007/978-3-540-31885-9
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|a Conceptual Structures: Common Semantics for Sharing Knowledge
|h [electronic resource] :
|b 13th International Conference on Conceptual Structures, ICCS 2005, Kassel, Germany, July 17-22, 2005, Proceedings /
|c edited by Frithjof Dau, Marie-Laure Mugnier, Gerd Stumme.
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|a 1st ed. 2005.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2005.
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|a XI, 467 p.
|b online resource.
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|a text
|b txt
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3596
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|a Invited Papers -- Patterns for the Pragmatic Web -- Conceptual Graphs for Semantic Web Applications -- Knowledge Representation and Reasoning in (Controlled) Natural Language -- What Is a Concept? -- Applications of Description Logics: State of the Art and Research Challenges -- Methodologies for the Reliable Construction of Ontological Knowledge -- Using Formal Concept Analysis and Information Flow for Modelling and Sharing Common Semantics: Lessons Learnt and Emergent Issues -- On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning -- Conzilla - A Conceptual Interface to the Semantic Web -- Theoretical Foundations -- Variables in Concept Graphs -- Arbitrary Relations in Formal Concept Analysis and Logical Information Systems -- Merge-Based Computation of Minimal Generators -- Representation of Data Contexts and Their Concept Lattices in General Geometric Spaces -- Local Negation in Concept Graphs -- Morphisms in Context -- Contextual Logic and Aristotle's Syllogistic -- States of Distributed Objects in Conceptual Semantic Systems -- Knowledge Engineering and Tools -- Hierarchical Knowledge Integration Using Layered Conceptual Graphs -- Evaluation of Concept Lattices in a Web-Based Mail Browser -- D-SIFT: A Dynamic Simple Intuitive FCA Tool -- Analyzing Conflicts with Concept-Based Learning -- Querying a Bioinformatic Data Sources Registry with Concept Lattices -- How Formal Concept Lattices Solve a Problem of Ancient Linguistics -- A New Method to Interrogate and Check UML Class Diagrams -- Knowledge Acquisition and Ontologies -- Language Technologies Meet Ontology Acquisition -- Weighted Pseudo-distances for Categorization in Semantic Hierarchies -- Games of Inquiry for Collaborative Concept Structuring -- Toward Cooperatively-Built Knowledge Repositories -- What Has Happened to Ontology -- Enhancing the Initial Requirements Capture of Multi-Agent Systems Through Conceptual Graphs -- Outline of trikonic?* k: Diagrammatic Trichotomic.
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|a Coding theory.
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|a Information theory.
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|a Artificial intelligence.
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|a Algorithms.
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|a Machine theory.
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|a Computer science-Mathematics.
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|a Discrete mathematics.
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|a Application software.
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|a Coding and Information Theory.
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|a Artificial Intelligence.
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|a Algorithms.
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|a Formal Languages and Automata Theory.
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|a Discrete Mathematics in Computer Science.
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|a Computer and Information Systems Applications.
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|a Dau, Frithjof.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Mugnier, Marie-Laure.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
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|a Stumme, Gerd.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540861157
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|i Printed edition:
|z 9783540277835
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 3596
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|u https://doi.uam.elogim.com/10.1007/978-3-540-31885-9
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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