Modeling and Using Context
Description
This book constitutes the proceedings of the 11th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2019, held in Trento, Italy, in November 2019. The 20 full papers and 4 invited talks presented were carefully reviewed and selected from 31 submissions. The papers feature research in a wide range of disciplines related to issues of context and contextual knowledge and discuss commonalities across and differences between the disciplines' approaches to the study of context. They cover a large spectrum of fields, including philosophy of language and of science, computational papers on context-aware information systems, artificial intelligence, and computational linguistics, as well as cognitive and social sciences.
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Content
Nonlinguistic Aspects of Linguistic Contexts.- User-aware Comfort in Retail Environments.- Justifiable Exceptions in General Contextual Hierarchies.- Service-Microservice Architecture for Context-Aware Content Delivery in National Geoinformation Center of Bulgaria.- Hybrid Expressions.- Context-driven corpus-based model for Automatic Text Segmentation and Part of Speech Tagging in Setswana using OpenNLP tool.- The Truth Rule: Definitional or Essential?.- Supporting Privacy Control and Personalized Data Usage Explanations in a Context-Based Adaptive Collaboration Environment.- Conceptual Puzzle Pieces.- Measuring Insight in the Classroom.- Evaluation of Computer-Tailored Motivational Messaging in a Health Promotion Context.- Racist Language, Speaker Responsibility and Hearer Authority.- Contextuality across the Sciences: Bell-type Theorems in Physics and Cognitive Science.- Compositionality and Contextuality: The Symbolic and Statistical.- Towards a Logic of Epistemic Theory of Measurement.- Belief Puzzles as Paradoxes of Identity.- Combining Probabilistic Contexts in Multi-Agent Systems.- Why Polysemy Supports Radical Contextualism.- Generics in Context: the Robustness and the Explanatory Implicatures.- Modelling Context Awareness for a Situated Semantic Agent.
