Knowledge Engineering and Knowledge Management: 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings: Lecture Notes in Computer Science, cartea 11313
Editat de Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussainten Limba Engleză Paperback – 31 oct 2018
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Specificații
ISBN-13: 9783030036669
ISBN-10: 3030036669
Pagini: 552
Ilustrații: XVI, 586 p. 157 illus., 99 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030036669
Pagini: 552
Ilustrații: XVI, 586 p. 157 illus., 99 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.84 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
An Empirical Evaluation of RDF Graph Partitioning Techniques.-Fuzzy Semantic Labeling of Semi-structured Numerical Datasets.- From Georeferenced Data to Socio-spatial Knowledge. Ontology Design.- Patterns to discover Domain-speci_c Knowledge from Crowdsourced Data.- Conceptual Schema Transformation in Ontology-based Data Access.- SWRL Reasoning with Decision Tables.- A framework for explaining query answers in DL-Lite.- DL-Foil: Class Expression Learning Revisited.- Requirements behaviour analysis for ontology testing.- Interactive Interpretation of serial episodes.- Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasets.- Making Sense of Numerical Data - Semantic Labelling of Web Tables.- Towards Enriching DBpedia from Vertical Enumerative Structures using a Distant Learning Approach.- The Utility of the Abstract Relational Model and Attribute Paths in SQL.- Support and Centrality: Learning Weights for Knowledge Graph Embedding Models.- OmniScience and Extensions - Lessons Learned from Designing a Multi Domain, Multi-Use Case Knowledge Representation System.- A Semantic Use Case Simulation Framework for Training Machine Learning Algorithms.- KnIGHT: Mapping Privacy Policies to GDPR.- Automating Class / Instance Representational Choices in Knowledge Bases.- Comparative Preferences in SPARQL.- Interplay of Game Incentives, Player Profiles and Task Dificulty in Games with a Purpose.- Inferring Types on Large Datasets Applying Ontology Class Hierarchy Classifiers: The DBpedia Case.- A Framework for Tackling Myopia in Concept Learning on the Web of Data.- Boosting Holistic Ontology Matching : an Extended Linear Approach and its Evaluation on Graph Clique-based Relaxed Reference Alignments.- Prominence and Dominance in Networks.- Deploying Spatial-Stream Query Answering in C-ITS Scenarios.- Metaproperty-guided Deletion from the Instance-Level of a Knowledge Base.- On Extracting Relations using Distributional Semantics and a Tree Generalization.- A Query Model for Ontology-Based Event Processing over RDF Streams.- A Random Walk Model for Entity Relatedness.- Using SPARQL - the practitioners' viewpoint.- Combining Machine Learning and Semantics for Anomaly Detection.- EROSO: Semantic Technologies towards thermal comfort in workplaces.- Divided we stand out! Forging Cohorts for Numeric Outlier Detection in large scale knowledge graphs (CONOD).- Decision Support Models to Assist in the Diagnosis of Meningitis.- A Framework to Conduct and Report on Empirical User Studies in Semantic Web Contexts.