ARCOE-LogIC 2013 - 1st Workshop on Acquisition, Representation and Reasoning with Contextualized Knowledge

welcomes submissions on the topics below as well as on their intersection and other topics related to acquisition, representation, reasoning with context and its applications.
Philosophical and theoretical foundations of context:
- What is context and how should it be represented.
- Relevant types of contextual information and their properties.
- Combining contextual information with object information for reasoning.
- Context and common-sense reasoning.
- Exploiting context in inconsistency and uncertainty handling, defeasible reasoning and argumentation.
- Contextual logic programming.
- Updating contextual knowledge and context-aware belief revision.
- Frameworks for formalizing context and context-aware knowledge representation.
Context modeling and contextual knowledge engineering:
- Modeling of user's/agent's context.
- Context driven organization of knowledge and modeling.
- Ontologies for context modeling.
- Context-aware modeling tools and methodology.
- Comparisons to context-unaware modeling techniques.
Effective reasoning with context:
- Effective context-aware reasoning algorithms.
- Distributed reasoning with context.
- Context-driven heuristics in classical reasoning systems.
- Reasoning under uncertainty and inconsitency.
- Defeasible reasoning.
- Hybrid formalisms for reasoning with context, including sub-symbolic contexts.
Applications of context in areas such as:
- Agent communication and coordination.
- Semantic Web and Linked Open Data.
- Knowledge modularization.
- Ontology matching.
- Ontology fault diagnosis and repair.
- Ontology evolution and versioning.
- Information integration.
- Ambient intelligence and pervasive computing.
- Exploiting context in Web 2.0 applications, e-commerce, and e-learning.