Related Concept Videos
Language
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
Definite Integral
Self Within Cultural Contexts
Definition of z-Transform
Components of Language
Language Development
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Thigh gaps and filtered snaps: a qualitative study exploring opportunities to mitigate social media harm through content moderation for people with eating disorders.
Digital Health Interventions to Support Chronic Disease Management: Systematic Scoping Review.
Uncertainty-Aware Parking Prediction Using Bayesian Neural Networks.
An Inexpensive AI-Powered IoT Sensor for Continuous Farm-to-Factory Milk Quality Monitoring.
Digital Solution to Support Medication Adherence and Self-Management in Patients with Cancer (SAMSON): Pilot Randomized Controlled Trial.
Exploring Virtual Reality and Exercise Simulator Interventions in Patients With Attention Deficit Hyperactivity Disorder: Comprehensive Literature Review.
RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.
Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.
Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.
Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.
Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.
Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.
Related Experiment Video
Updated: Jan 27, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Context Definition and Query Language: Conceptual Specification, Implementation, and Evaluation.
Alireza Hassani1, Alexey Medvedev2, Pari Delir Haghighi3
1Faculty of Information Technology, Monash University, Melbourne 3145, Australia. ali.hassani@monash.edu.
The Internet of Things (IoT) needs contextual intelligence for efficiency. We propose Context Definition and Query Language (CDQL) for seamless context sharing and querying in dynamic IoT environments.
More Related Videos
07:36Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
Published on: November 30, 2018
06:05The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Area of Science:
- Computer Science
- Information Technology
- Artificial Intelligence
Background:
- The rapid expansion of the Internet of Things (IoT) necessitates advanced contextual intelligence for optimal performance and sustainability.
- Standardization efforts, particularly by ETSI, are crucial for enabling intelligent interactions among diverse IoT components.
- A generic platform for context description and querying is vital for future IoT applications.
Purpose of the Study:
- To introduce the Context Definition and Query Language (CDQL) as a novel approach for context exchange, reuse, and sharing in IoT.
- To enable dynamic querying of IoT entities based on situations defined by users.
- To provide a flexible and powerful language for expressing contextual information requirements without exposing underlying data structures.
Main Methods:
- Development of a context definition model for describing high-level context and situations.
- Design of a Context Query Language (CQL) for flexible and dynamic context retrieval.
- Exemplification of CDQL usage in smart city scenarios.
- Performance evaluation to assess scalability and efficiency.
Main Results:
- CDQL facilitates the exchange, reuse, and sharing of context among IoT entities.
- The proposed query language allows dynamic querying based on user-defined situations and context entities.
- Demonstrated applicability and effectiveness through smart city use cases.
- Performance evaluations confirm the scalability and efficiency of CDQL.
Conclusions:
- CDQL provides a generic and powerful solution for context management in IoT.
- The language supports dynamic, situation-aware querying, enhancing IoT application capabilities.
- CDQL is a scalable and efficient approach for handling numerous concurrent context queries in IoT ecosystems.