Conceptual Structures: From Information to Intelligence : 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010, Proceedings / edited by Madalina Croitoru, Sébastien Ferré, Dickson Lukose.

Format:

Book

Contributor:

Croitoru, Madalina, editor.

Ferré, Sébastien, editor.

Lukose, Dickson, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 6208.

Lecture Notes in Artificial Intelligence ; 6208

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Programming languages (Electronic computers).

Database management.

Logic, Symbolic and mathematical.

Pattern perception.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Programming Languages, Compilers, Interpreters.

Database Management.

Mathematical Logic and Formal Languages.

Pattern Recognition.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Programming Languages, Compilers, Interpreters.

Database Management.

Mathematical Logic and Formal Languages.

Pattern Recognition.

Physical Description:

1 online resource (XII, 207 pages) : 51 illustrations.

Edition:

First edition 2010.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.

System Details:

text file PDF

Summary:

th The 18 International Conference on Conceptual Structures (ICCS 2010) was the latest in a series of annual conferences that have been held in Europe, A- tralia, and North America since 1993. The focus of the conference has been the representation and analysis of conceptual knowledge for research and practical application. ICCS brings together researchers and practitioners in information and computer sciences as well as social science to explore novel ways that c- ceptual structures can be deployed. Arising from the research on knowledge representation and reasoning with conceptual graphs, over the years ICCS has broadened its scope to include in- vations from a wider range of theories and related practices, among them other forms of graph-based reasoning systems like RDF or existential graphs, formal concept analysis, Semantic Web technologies, ontologies, concept mapping and more. Accordingly, ICCS represents a family of approaches related to conc- tualstructuresthatbuild onthesuccesseswithtechniquesderivedfromarti?cial intelligence, knowledge representation and reasoning, applied mathematics and lattice theory, computational linguistics, conceptual modeling and design, d- grammatic reasoning and logic, intelligent systems and knowledge management. The ICCS 2010 theme "From Information to Intelligence" hints at unve- ing the reasoning capabilities of conceptual structures. Indeed, improvements in storage capacity and performance of computing infrastructure have also - fected the nature of knowledge representation and reasoning (KRR) systems, shifting their focus toward representational power and execution performance. Therefore, KRR research is now faced with a challenge of developing knowledge representation and reasoning structures optimized for such reasonings.

Contents:

Invited Papers

Entities and Surrogates in Knowledge Representation

Exploring Conceptual Possibilities

Graphical Representation of Ordinal Preferences: Languages and Applications

Combining Description Logics, Description Graphs, and Rules

Practical Graph Mining

Accepted Papers

Use of Domain Knowledge in the Automatic Extraction of Structured Representations from Patient-Related Texts

Translations between RDF(S) and Conceptual Graphs

Default Conceptual Graph Rules, Atomic Negation and Tic-Tac-Toe

On the Stimulation of Patterns

Ontology-Based Understanding of Natural Language Queries Using Nested Conceptual Graphs

An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patterns

Natural Intelligence - Commonsense Question Answering with Conceptual Graphs

Learning to Map the Virtual Evolution of Knowledge

Branching Time as a Conceptual Structure

Formal Concept Analysis in Knowledge Discovery: A Survey

Granular Reduction of Property-Oriented Concept Lattices

Temporal Relational Semantic Systems

Accepted Posters

FcaBedrock, a Formal Context Creator

From Generalization of Syntactic Parse Trees to Conceptual Graphs

Conceptual Structures for Reasoning Enterprise Agents

Conceptual Graphs for Semantic Email Addressing

Introducing Rigor in Concept Maps

Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks.

Other Format:

Printed edition:

ISBN:

978-3-642-14197-3

9783642141973

Access Restriction:

Restricted for use by site license.