Graph Structures for Knowledge Representation and Reasoning
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portes grátis
Graph Structures for Knowledge Representation and Reasoning
4th International Workshop, GKR 2015, Buenos Aires, Argentina, July 25, 2015, Revised Selected Papers
Marquis, Pierre; Croitoru, Madalina; Rudolph, Sebastian; Stapleton, Gem
Springer International Publishing AG
02/2016
155
Mole
Inglês
9783319287010
15 a 20 dias
2584
Descrição não disponível.
Designing a Knowledge Representation Tool for Subject
Matter Structuring.- Aligning Experientially Grounded Ontologies using Language
Games.- An overview of argumentation frameworks for decision support.- Learning
Optimal Bayesian Networks with DAG Graphs.- Combinatorial results on directed
hypergraphs for the SAT problem.- Conceptual Graphs for Formally Managing and
Discovering Complementary Competences.- Subjective Networks: Perspectives and
Challenges.- RDF-SQ: Mixing Parallel and Sequential Computation For Top-down
OWL RL Inference.- Bring User Interest to Related Entity Recommendation.
Matter Structuring.- Aligning Experientially Grounded Ontologies using Language
Games.- An overview of argumentation frameworks for decision support.- Learning
Optimal Bayesian Networks with DAG Graphs.- Combinatorial results on directed
hypergraphs for the SAT problem.- Conceptual Graphs for Formally Managing and
Discovering Complementary Competences.- Subjective Networks: Perspectives and
Challenges.- RDF-SQ: Mixing Parallel and Sequential Computation For Top-down
OWL RL Inference.- Bring User Interest to Related Entity Recommendation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
bayesian networks;decision support systems;multi-agent learning;probabilistic reasoning;semantic Web;graph theory;hypergraphs;knowledge reasoning;knowledge representation;ontology engineering;OWL;probabilistic representations;probability;reasoning about belief and knowledge;recommender systems;resource description framework;semantic Web description languages;statistics;theorem proving and sat solving;Web ontology language
Designing a Knowledge Representation Tool for Subject
Matter Structuring.- Aligning Experientially Grounded Ontologies using Language
Games.- An overview of argumentation frameworks for decision support.- Learning
Optimal Bayesian Networks with DAG Graphs.- Combinatorial results on directed
hypergraphs for the SAT problem.- Conceptual Graphs for Formally Managing and
Discovering Complementary Competences.- Subjective Networks: Perspectives and
Challenges.- RDF-SQ: Mixing Parallel and Sequential Computation For Top-down
OWL RL Inference.- Bring User Interest to Related Entity Recommendation.
Matter Structuring.- Aligning Experientially Grounded Ontologies using Language
Games.- An overview of argumentation frameworks for decision support.- Learning
Optimal Bayesian Networks with DAG Graphs.- Combinatorial results on directed
hypergraphs for the SAT problem.- Conceptual Graphs for Formally Managing and
Discovering Complementary Competences.- Subjective Networks: Perspectives and
Challenges.- RDF-SQ: Mixing Parallel and Sequential Computation For Top-down
OWL RL Inference.- Bring User Interest to Related Entity Recommendation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
bayesian networks;decision support systems;multi-agent learning;probabilistic reasoning;semantic Web;graph theory;hypergraphs;knowledge reasoning;knowledge representation;ontology engineering;OWL;probabilistic representations;probability;reasoning about belief and knowledge;recommender systems;resource description framework;semantic Web description languages;statistics;theorem proving and sat solving;Web ontology language
