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Conceptual Structures: From Information to Intelligence: 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010, Proceedings de Madalina Croitoru

Conceptual Structures: From Information to Intelligence: 18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Sarawak, Malaysia, July 26-30, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6208

Editat de Madalina Croitoru, Sébastien Ferré, Dickson Lukose
en Limba Engleză Paperback – 7 iul 2010

Subliniem necesitatea stringenta de a optimiza structurile de reprezentare si rationament (KRR) intr-un context in care performanta infrastructurii de calcul redefineste limitele inteligentei artificiale. Conceptual Structures: From Information to Intelligence abordeaza direct aceasta tranzitie, oferind solutii tehnice pentru transformarea datelor brute in structuri cognitive capabile de rationament logic complex. Suntem de parere ca valoarea acestui volum rezida in capacitatea de a unifica teorii diverse, precum grafurile conceptuale ale lui Sowa, analiza formala a conceptelor si tehnologiile Semantic Web.

Notam cu interes organizarea riguroasa a continutului, care debuteaza cu perspective teoretice asupra entitatilor si surogatelor in reprezentarea cunoasterii, avansand spre aplicatii practice de „graph mining” si interogari bazate pe cuvinte cheie. Pe linia practica a volumului Conceptual Structures: Knowledge Visualization and Reasoning, dar cu un focus distinct pe capacitatile de executie si puterea de reprezentare, lucrarea editata de Madalina Croitoru si colegii sai se distinge prin abordarea interdisciplinara. In contextul operei editorului, acest volum face tranzitia de la bazele teoretice explorate in Graph-Based Representation and Reasoning catre provocari moderne de procesare a limbajului natural si descoperire a cunoasterii (Knowledge Discovery).

Fiecare capitol investigheaza o problema tehnica specifica, de la traducerile intre RDF si grafuri conceptuale, pana la utilizarea ontologiilor pentru intelegerea interogarilor in limbaj natural. Ritmul este unul academic, dens in formalism matematic si structuri de tip latice, fiind un instrument esential pentru inginerii de sisteme si cercetatorii care dezvolta aplicatii de inteligenta artificiala bazate pe logica si rationament diagramatic.

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Specificații

ISBN-13: 9783642141966
ISBN-10: 364214196X
Pagini: 219
Ilustrații: XII, 207 p. 51 illus.
Greutate: 0.34 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

De ce să citești această carte

Pentru profesionistii din informatica si inteligenta artificiala, acest volum ofera o foaie de parcurs tehnica pentru implementarea sistemelor de rationament bazate pe grafuri. Veti castiga o intelegere aprofundata a modului in care analiza formala a conceptelor poate fi aplicata in descoperirea cunoasterii si in procesarea limbajului natural, beneficiind de expertiza globala reunita in seria ICCS.

Descriere scurtă

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.

Cuprins

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.