218 results on '"Elisabeth Métais"'
Search Results
2. "TimeOntoImperfection": An OWL 2 ontology to representing temporal data imperfection using imperfection theories.
3. Editorial for VSI:NLDB-saarbruecken-2021.
4. Handling Temporal Data Imperfections in OWL 2 - Application to Collective Memory Data Entries.
5. An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2.
6. A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge: A Framework and Case Implementation.
7. Handling Uncertain Time Intervals in OWL 2: Possibility Vs Probability Theories-based Approaches.
8. Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach.
9. A Multilingual Linguistic Domain Ontology.
10. Approach to Reasoning about Uncertain Temporal Data in OWL 2.
11. Certain and Uncertain Temporal Data Representation and Reasoning in OWL 2.
12. Temporal Relations Between Imprecise Time Intervals: Representation and Reasoning.
13. Ontology-Based Representation and Reasoning about Precise and Imprecise Time Intervals.
14. Visualizing Readable Instance Graphs of Ontology with Memo Graph.
15. A Typology of Temporal Data Imperfection.
16. Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients.
17. Representing and Reasoning About Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks.
18. A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems.
19. Dealing with Precise and Imprecise Temporal Data in Crisp Ontology.
20. An Ontology based Smart Management of Linguistic Knowledge.
21. An improved non-personalized combined-heuristic strategy for collaborative filtering recommender systems.
22. Comparison of the Non-personalized Active Learning Strategies Used in Recommender Systems.
23. Fast SPARQL join processing between distributed streams and stored RDF graphs using bloom filters.
24. A Crisp-Based Approach for Representing and Reasoning on Imprecise Time Intervals in OWL 2.
25. A Fuzzy-Based Approach for Representing and Reasoning on Imprecise Time Intervals in Fuzzy-OWL 2 Ontology.
26. A Semantic Representation of Time Intervals in OWL 2.
27. Visualizing Large-scale Linked Data with Memo Graph.
28. Enhancing New User Cold-Start Based on Decision Trees Active Learning by Using Past Warm-Users Predictions.
29. DRSS: Distributed RDF SPARQL Streaming.
30. Evaluating Non-personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems.
31. Preface.
32. Representing Imprecise Time Intervals in OWL 2.
33. An item/user representation for recommender systems based on bloom filters.
34. MEMO GRAPH: An Ontology Visualization Tool for Everyone.
35. Ontology-based representation and reasoning about precise and imprecise temporal data: A fuzzy-based view.
36. Dealing with family relationships in linked data.
37. Extraction de l'intérêt implicite des utilisateurs dans les attributs des items pour améliorer les systèmes de recommandations.
38. PersonLink: An Ontology Representing Family Relationships for the CAPTAIN MEMO Memory Prosthesis.
39. PersonLink: A Multilingual and Multicultural Ontology Representing Family Relationships.
40. Enhancing Collaborative Filtering Using Implicit Relations in Data.
41. Un outil de visualisation d'ontologies pour le web des données, utilisable par tous.
42. Handling data imperfection - False data inputs in applications for Alzheimer's patients.
43. Preface.
44. Proposed Approach for Evaluating the Quality of Topic Maps.
45. Towards an Automatic Detection of Sensitive Information in a Database.
46. CITOM: Incremental Construction of Topic Maps.
47. Usage-Oriented Topic Maps Building Approach.
48. A Semantic Approach for Semi-Automatic Detection of Sensitive Data.
49. Overview of Topic Map Construction Approaches.
50. State of the Art on Topic Map Building Approaches.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.