All Stories

  1. Knowledge Graphs
  2. An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs
  3. An unsupervised approach to disjointness learning based on terminological cluster trees
  4. Correction to: The Semantic Web: ESWC 2021 Satellite Events
  5. Class expression induction as concept space exploration: From DL-Foil to DL-Focl
  6. Machine Learning for the Semantic Web: Lessons learnt and next research directions
  7. Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules
  8. Boosting DL Concept Learners
  9. Adaptive Knowledge Propagation in Web Ontologies
  10. Approximate classification with web ontologies through evidential terminological trees and forests
  11. A Framework for Tackling Myopia in Concept Learning on the Web of Data
  12. Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web
  13. DLFoil: Class Expression Learning Revisited
  14. Journal Track Chairs' Welcome & Organization
  15. Tree-based models for inductive classification on the Web Of Data
  16. An evolutionary algorithm for discovering multi-relational association rules in the semantic web
  17. Multi-label Based Learning for Better Multi-criteria Ranking of Ontology Reasoners
  18. Terminological Cluster Trees for Disjointness Axiom Discovery
  19. Efficient energy-based embedding models for link prediction in knowledge graphs
  20. Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies
  21. Leveraging the schema in latent factor models for knowledge graph completion
  22. Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases
  23. Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data
  24. Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases
  25. Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion
  26. The Data Mining OPtimization Ontology
  27. Inductive Classification Through Evidence-Based Models and Their Ensembles
  28. On the Effectiveness of Evidence-Based Terminological Decision Trees
  29. The Semantic Web. Latest Advances and New Domains
  30. A Gaussian Process Model for Knowledge Propagation in Web Ontologies
  31. Inductive Reasoning and Machine Learning for the Semantic Web
  32. Semantic Knowledge Discovery and Data-Driven Logical Reasoning from Heterogeneous Data Sources
  33. Towards Evidence-Based Terminological Decision Trees
  34. Uncertainty Reasoning for the Semantic Web III
  35. Rank prediction for semantically annotated resources
  36. NUMERIC PREDICTION ON OWL KNOWLEDGE BASES THROUGH TERMINOLOGICAL REGRESSION TREES
  37. Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training
  38. Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees
  39. Message from the ICSC 2012 Workshop Co-Chairs
  40. Ontology-based semantic search on the Web and its combination with the power of inductive reasoning
  41. Induction of robust classifiers for web ontologies through kernel machines
  42. Mining the Semantic Web
  43. Semantic Knowledge Discovery from Heterogeneous Data Sources
  44. Learning probabilistic Description logic concepts
  45. Learning with Semantic Kernels for Clausal Knowledge Bases
  46. Prediction of class and property assertions on OWL ontologies through evidence combination
  47. DL-LINK: A CONCEPTUAL CLUSTERING ALGORITHM FOR INDEXING DESCRIPTION LOGICS KNOWLEDGE BASES
  48. Efficient Resource Retrieval from Semantic Knowledge Bases
  49. Machine Learning Methods for Ontology Mining
  50. Towards the induction of terminological decision trees
  51. A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results
  52. Categorize by: Deductive Aggregation of Semantic Web Query Results
  53. Combining Semantic Web Search with the Power of Inductive Reasoning
  54. Fuzzy Clustering for Semantic Knowledge Bases
  55. Induction of Concepts in Web Ontologies through Terminological Decision Trees
  56. Inductive learning for the Semantic Web: What does it buy?
  57. Inductive reasoning and semantic web search
  58. Learning to Rank Individuals in Description Logics Using Kernel Perceptrons
  59. Recovering uncertain mappings through structural validation and aggregation with the MoTo system
  60. Metric-based stochastic conceptual clustering for ontologies
  61. Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks
  62. Inductive Query Answering and Concept Retrieval Exploiting Local Models
  63. Fuzzy Clustering for Categorical Spaces
  64. Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models
  65. Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages
  66. ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification
  67. INDUCTION OF CLASSIFIERS THROUGH NON-PARAMETRIC METHODS FOR APPROXIMATE CLASSIFICATION AND RETRIEVAL WITH ONTOLOGIES
  68. Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases
  69. Tractable Reasoning with Bayesian Description Logics
  70. Evolutionary Conceptual Clustering of Semantically Annotated Resources
  71. Instance-based retrieval by analogy
  72. Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases
  73. DL-FOIL Concept Learning in Description Logics
  74. Learning with Kernels in Description Logics
  75. Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
  76. Conceptual Clustering Applied to Ontologies
  77. A Multi-relational Hierarchical Clustering Method for Datalog Knowledge Bases
  78. Query Answering and Ontology Population: An Inductive Approach
  79. Conceptual Clustering and Its Application to Concept Drift and Novelty Detection
  80. Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies