Describing and recognizing patterns of events in smart environments with description logic

Area of Science:

• Computer Science
• Artificial Intelligence
• Semantic Web Technologies

Background:

• Context-aware systems are crucial for intelligent environments.
• Existing systems often rely on complex reasoning engines.
• Ontology-based approaches offer a structured way to represent context.

Purpose of the Study:

• To develop a context-aware system for smart environments.
• To implement the system using description logic and OWL 2 EL.
• To demonstrate the system's efficiency using only basic reasoning mechanisms.

Main Methods:

• An ontology was developed using description logic.
• The ontology was implemented in OWL 2 EL (Web Ontology Language).
• The system utilizes basic reasoning mechanisms like subsumption and instance checking.

Main Results:

• The system successfully infers context in smart environments.
• It achieves polynomial time reasoning without external engines.
• Experimental data from diverse scenarios validated the approach.

Conclusions:

• The proposed system offers an efficient and lightweight approach to context awareness.
• It simplifies reasoning requirements for smart environment applications.
• The methodology is applicable across various smart environment settings.