Semantic Sensor Web
By Amit P. Sheth, C. Henson, S. Sahoo. IEEE Internet Computing, 2008
721 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/c2165995eb8f40ca27fd56ae92cd79185780270c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Omer Berat Sezer
- Dhananjay Singh
- A. Jara
- Gaurav Tripathi
- A. Ozbayoglu
- Erdogan Dogdu
- Minh Dao-Tran
- Mohammadreza Rezvan
Citations in the corpus
- Interoperability in Internet of Things: Taxonomies and Open Challenges (2018, background): “There are several IoT research projects which utilize the capabilities of the above-mentioned ontologies or other semantic technologies to improve semantic interoperability such as Semantic Sensor Web (SSW) [76], OpenIoT, HYDRA 17 , SPITFIRE [77], SENSEI 18 to name a few.”
- A survey of Internet-of-Things: Future vision, architecture, challenges and services (2014, methodology): “The JDL model has been primarily used for defense purposes.”
- A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data (2011, methodology): “, by the W3C Semantic Sensor Network Incubator Group3 and [12, 32, 37].”
- Diagnosing Changes in An Ontology Stream: A DL Reasoning Approach (2012, background): “Some of them may have been caused by high-frequency sensors (Sheth, Henson, and Sahoo 2008), which provide periodic and inconsistent snapshots of the world in very short time interval e.g., loops of green and red traffic lights.”
- Review and classification of barriers and enablers of demand response in the smart grid (2017, background): “Semantic Sensor Web [96] -SSW suggests an approach to annotating sensor data with spatial, temporal, and thematic semantic metadata.”
- Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, methodology): “The SSW uses ontologies, rules, semantic languages OWL and RDF for interoperability, reasoning, and analysis of sensor data from different devices and platforms [8], [87].”
- City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, neutral): “[62] A × H L M × C 2 .”
- Information-Centric Network-Based Vehicular Communications: Overview and Research Opportunities (2018, background): “In reality, this is a challenging issue which is not covered in the ICN scope [45].”
- New Generation Sensor Web Enablement (2011, background): “Research on the Semantic Sensor Web [140] investigates the role of semantic annotation, ontologies, and reasoning to improve Sensor Web functionality such as sensor discovery and sensor integration.”
- The SSN ontology of the W3C semantic sensor network incubator group (2012, neutral): “ity [5].”
- Machine learning for Internet of Things data analysis: A survey (2017, background): “Semantic annotation is beneficial in interpretable and knowledge-based information fusion [42].”
- The Internet of Things: A Survey from the Data-Centric Perspective (2013, neutral): “Interesting discussions of research issues which arise in the context of the semantic and database management issues of the sensor web may be found in [96, 17].”