Knowledge Science, Engineering and Management: 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010, Proceeding [Paperback]

Mining Video Data: Learning about Activities.- Ontology Languages and Engineering.- Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects.- Modeling Ontological Concepts of Locations with a Heterogeneous Cardinal Direction Model.- Finding Minimal Rare Itemsets and Rare Association Rules.- Background Knowledge Integration in Clustering Using Purity Indexes.- A Comparison of Merging Operators in Possibilistic Logic.- Modelling and Reasoning in Metamodelling Enabled Ontologies.- Towards Encoding Background Knowledge with Temporal Extent into Neural Networks.- A Fuzzy Description Logic with Automatic Object Membership Measurement.- Decomposition-Based Optimization for Debugging of Inconsistent OWL DL Ontologies.- A Concept Hierarchy Based Ontology Mapping Approach.- Composing Cardinal Direction Relations Basing on Interval Algebra.- Retrieval Result Presentation and Evaluation.- Autonomy: Life and Being.- A Method of Social Collaboration and Knowledge Sharing Acceleration for e-Learning System: The Distance Learning Network Scenario.- A Comparative Study of Target-Based Evaluation of Traditional Craft Patterns Using Kansei Data.- Optimization of Multiple Related Negotiation through Multi-Negotiation Network.- Reasoning Activity for Smart Homes Using a Lattice-Based Evidential Structure.- Knowledge Modelling to Support Inquiry Learning Tasks.- Building the Knowledge Base to Support the Automatic Animation Generation of Chinese Traditional Architecture.- Discovery of Relation Axioms from the Web.- An Improved Piecewise Aggregate Approximation Based on Statistical Features for Time Series Mining.- Incorporating Duration Information in Activity Recognition.- A Graphical Model for Risk Analysis and Management.- Towards Awareness Services Usage Characterization: Clustering Sessions in a Knowledge Building Environment.- Adjusting Class Association Rules from Global and Local Perspectives Based on Evolutionary Computation.- ProbabilƒP