TAILIEUCHUNG - Doctoral thesis summary: Concept learning for description logic based information systems

Research objectives: Building a method of granulating partitions of domain of interpretation in DLs. This method is base on bisimulation and using suitable selectors as well as information gain measure; proposing bisimulation-based concept learning algorithms for knowledge bases in DLs using Setting. | HUE UNIVERSITY COLLEGE OF SCIENCES TRAN THANH LUONG CONCEPT LEARNING FOR DESCRIPTION LOGIC-BASED INFORMATION SYSTEMS MAJOR COMPUTER SCIENCE CODE SUMMARY OF DOCTORAL THESIS OF COMPUTER HUE 2015 This thesis was completed at College of Sciences Hue University Supervisors 1. Assoc. Prof. . Nguyen Anh Linh Warsaw University Poland 2. Dr. Hoang Thi Lan Giao College of Sciences Hue University Reviewer 1 Prof. . Hoang Van Kiem University of Information Technology VNU-HCM Reviewer 2 Assoc. Prof. Dr. Doan Van Ban Institute of Information Technology VAST Reviewer 3 Assoc. Prof. Dr. Nguyen Mau Han College of Sciences Hue University The thesis will be presented at the Committee of Hue University to be held by Hue University at .h. . . 2015 The thesis can be found at the follow libraries National Library of Vietnam Library Information Center College of Science Hue University PREFACE Concept learning in description logics DLs is similar to binary classification in traditional machine learning. However the problem in the context of DLs differs from the traditional setting in that objects are described not only by attributes but also by binary relations between objects. The major settings of concept learning in DLs are as follows Setting 1 Given a knowledge base KB in a DL LS and sets E E of individuals learn a concept C in Ls such that 1. KB 1 C a for all a 2 E and 2. KB C a for all a 2 E-. The sets E and E_ contain positive examples and negative ones of C respectively. Setting 2 This setting differs from the previous one only in that the second condition is replaced by the weaker one KB C a for all a 2 E_. Setting 3 Given an interpretation I and sets E E of individuals learn a concept C in a DL LS such that 1. I C a for all a 2 E and 2. I C a for all a 2 E_. Note that I C a is the same as I C a . Concept learning in DLs was studied by a number of researchers. The related work can be divided into three main groups. The first group focuses on learnability in .

• Thạc sĩ - Tiến sĩ - Cao học
• Concept learning
• Description logic based information systems
• Granulating partitions
• Semantic Web
• Doctoral thesis summary
• Computer science
• Journal of technology and science education
• Meaningful learning using concept maps as a learning strategy
• Concept maps as a learning strategy
• The creation of concept maps
• During the two academic
• Description logics
• Correct concept learning
• Training information system
• Traditional machine learning
• The potential contributions
• Concept maps for learning website
• Learning website to assessment
• Learning practices
• Assessment for learning
• Using concept mapping
• Concept mapping to measure changes
• Interdisciplinary learning
• During high school
• Meaningful learning
• Math concept reader I Know Shapes
• I Know Shapes
• Learning circle
• Learning rectangle
• Learning square
• Learning triangle
• Challenges and weaknesses
• The use of concept maps
• Learning strategy
• Undergraduate health programs
• Meaning construction
• Description logic
• Bisimulation based
• Information systems
• Learning method of Nguyen and Szałas
• Designing problem based curricula
• The role of concept mapping
• Scaffolding learning
• The health sciences
• Blended learning
• Learning the Latent Semantics
• Concept from its Definition
• Weiwei Guo
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Learning Intonation Rules
• Concept to Speech Generation
• Long Papers
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Experimental study of the difficulties involved
• Learning the group concept
• The existence of three difficulties
• Three epistemological obstacles
• Verifying the research hypothesis
• Hybrid E learning
• Blended E Learning
• Hybrid Digital Library
• Rural School Concept
• Arua District
• Concept cartoon in problem based learning
• Systematic literature review analysis
• Engineering and Mathematics
• The systematic literature
• 99 Early learning printables
• Early litecracy
• Early math
• More early learning concept
• Kid documents
• Early safety
• Mạng neural
• Trí tuệ nhân tạo
• Machine learning
• Learning from examples
• Training examples
• Latin American Literature
• The concept of professional learning
• Professional learning and organizing student activities
• Self assessment of organizing student’s activity
• Organizing students’ activities
• HCMC University of Education
• Terms E learning
• E social
• NetCloudTab system
• On demand learning and development
• Proof of concept system
• The digital Dalton Plan
• Progressive education
• Web based learning environments
• Learning environments
• Concept mapping
• Psychology
• Fundamental Kinds
• Concepts in Philosophy
• Concept Eliminativism
• Multi Process Theories
• Heterogeneity Hypothesis
• Formal Concept Analysis
• Ontology Learning
• Handling errors
• Tolerant Construction
• Novakian concept mapping
• University and professional education
• Professional education
• Visualising learning
• Powerful knowledge
• Level of penetration
• Learning Organization concept
• Existence of the Sugar factory
• Sugar industry/firms factories
• Validity of current measurement tool
• Suggestions for teacher education
• Concept mapping studies
• Teacher professional development
• Scientific literacy