All Stories

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