A Semantics-based Approach to Machine Perception
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Summary
This dissertation presents a semantics-based machine perception framework to address issues of too much data and not enough knowledge, and efficient algorithms for the machine perception inference tasks to enable interpretation of sensor data on resource-constrained devices, such as smart phones.
- Type
- article
- Published
- 2013-01-01
- Cited by
- 17
- References
- 94
- Access
- Open access
- OpenAlex
- https://openalex.org/W35900582
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6529208
Keywords
Semantics (computer science), Computer science, Perception, Artificial intelligence, Natural language processing
References
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- Representation of Parsimonious Covering Theory in OWL-DL
- SWRL : A semantic Web rule language combining OWL and ruleML
- Semantic Sensor Data Search in a Large-Scale Federated Sensor Network
- Complexity results and practical algorithms for logics in knowledge representation
- Materializing and Persisting Inferred and Uncertain Knowledge in RDF Datasets
- Five challenges for the Semantic Sensor Web
- An ontological approach to focusing attention and enhancing machine perception on the Web
- Data driven knowledge acquisition method for domain knowledge enrichment in the healthcare
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- Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children
- Semantic, Cognitive, and Perceptual Computing: Advances toward Computing for Human Experience
- Applications of multimodal physical (IoT), cyber and social data for reliable and actionable insights
- Semantics-Empowered Big Data Processing with Applications
- Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
- A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
- Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience
- Scenes categorization based on appears objects probability
- Machine learning in the Internet of Things: A semantic-enhanced approach
- A knowledge-based framework for information extraction and exploration
- An experiment on deploying a privacy-aware sensing as a service in the Sensor-Cloud
- Building Blocks for IoT Analytics Internet-of-Things Analytics
- Building Interoperable and Cross-Domain Semantic Web of Things Applications
- A Review of Tools for IoT Semantics and Data Streaming Analytics
- Security Challenges in Semantic Web of Things
- kHealth : Proactive Personalized Actionable Information for Better Healthcare
- 6 A Review of Tools for IoT Semantics and Data Streaming Analytics
- Designing cross-domain semantic Web of things applications. (Concevoir des applications internet des objets sémantiques)
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