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1. Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs

2. Additive Counterfactuals for Explaining Link Predictions on Knowledge Graphs

3. Explanation of Link Predictions on Knowledge Graphs via Levelwise Filtering and Graph Summarization

4. Embedding Models for Knowledge Graphs Induced by Clusters of Relations and Background Knowledge

5. Injecting Background Knowledge into Embedding Models for Predictive Tasks on Knowledge Graphs

8. Boosting DL Concept Learners

9. A Semantic Similarity Measure for Expressive Description Logics

11. DLFoil: Class Expression Learning Revisited

12. A Framework for Tackling Myopia in Concept Learning on the Web of Data

14. Terminological Cluster Trees for Disjointness Axiom Discovery

16. Graph-Based Regularization for Transductive Class-Membership Prediction

17. Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness

18. Integrating New Refinement Operators in Terminological Decision Trees Learning

19. Approximating Numeric Role Fillers via Predictive Clustering Trees for Knowledge Base Enrichment in the Web of Data

20. Semantic Web Search and Inductive Reasoning

21. Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations

22. Assertion Prediction with Ontologies through Evidence Combination

23. On the Effectiveness of Evidence-Based Terminological Decision Trees

24. Inductive Classification Through Evidence-Based Models and Their Ensembles

25. Approximate Measures of Semantic Dissimilarity under Uncertainty

26. Analogical Reasoning in Description Logics

28. Towards Evidence-Based Terminological Decision Trees

29. Tackling the Class-Imbalance Learning Problem in Semantic Web Knowledge Bases

30. Adaptive Knowledge Propagation in Web Ontologies

31. Transductive Inference for Class-Membership Propagation in Web Ontologies

32. Learning with Semantic Kernels for Clausal Knowledge Bases

33. Combining Semantic Web Search with the Power of Inductive Reasoning

34. Learning to Rank Individuals in Description Logics Using Kernel Perceptrons

35. Induction of Concepts in Web Ontologies through Terminological Decision Trees

36. A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results

37. Categorize by: Deductive Aggregation of Semantic Web Query Results

39. Fuzzy Clustering for Categorical Spaces : An Application to Semantic Knowledge Bases

40. ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification

42. Conceptual Clustering and Its Application to Concept Drift and Novelty Detection

43. Query Answering and Ontology Population: An Inductive Approach

45. Statistical Learning for Inductive Query Answering on OWL Ontologies

50. Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies

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