The scientist’s investigation covers issues in World Wide Web, Semantic Web, Social Semantic Web, Social web and Semantic Web Stack. His studies deal with areas such as User experience design and Computer user satisfaction, User modeling as well as World Wide Web. As a member of one scientific family, he mostly works in the field of Semantic Web, focusing on Ontology and, on occasion, Folksonomy, Online community and RDF.
Social media is closely connected to Order in his research, which is encompassed under the umbrella topic of Social Semantic Web. As part of one scientific family, John G. Breslin deals mainly with the area of Social web, narrowing it down to issues related to the Internet privacy, and often Ubiquitous computing. His research integrates issues of Web standards, Web modeling and Data Web in his study of Semantic Web Stack.
John G. Breslin spends much of his time researching World Wide Web, Semantic Web, Social Semantic Web, Information retrieval and Social web. As part of the same scientific family, John G. Breslin usually focuses on World Wide Web, concentrating on Semantics and intersecting with Content management. His work in Semantic Web addresses issues such as Ontology, which are connected to fields such as Semantic data model.
The study incorporates disciplines such as Web standards, Web development, Web 2.0 and Data Web in addition to Social Semantic Web. His Information retrieval study combines topics from a wide range of disciplines, such as Metadata and Cloud computing. John G. Breslin has included themes like Internet privacy and Social network in his Social web study.
John G. Breslin focuses on Computer network, Artificial intelligence, Scalability, Blockchain and Peer-to-peer. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Domain, Machine learning and Analytics. His work in Peer-to-peer addresses subjects such as Prosumer, which are connected to disciplines such as Structure, Duration, Adversarial system and Co-simulation.
John G. Breslin performs integrative Irish and World Wide Web research in his work. As a part of the same scientific family, John G. Breslin mostly works in the field of World Wide Web, focusing on Profiling and, on occasion, Linked data. Specifically, his work in Information retrieval is concerned with the study of Semantic Web.
John G. Breslin mainly focuses on Artificial intelligence, Peer-to-peer, Blockchain, Recommender system and Edge device. The various areas that he examines in his Artificial intelligence study include Domain and Machine learning. His biological study spans a wide range of topics, including Network planning and design and Prosumer.
His Blockchain study which covers Microgrid that intersects with Internet privacy and Energy trading. His study in Recommender system is interdisciplinary in nature, drawing from both Embedding, User modeling, Knowledge base and Natural language processing. His User modeling research integrates issues from Social media, World Wide Web, Personalization, Dimension and Focus.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples
Maged N Kamel Boulos;Bernd Resch;Bernd Resch;David N Crowley;John G Breslin.
International Journal of Health Geographics (2011)
Optimizing the AC resistance of multilayer transformer windings with arbitrary current waveforms
W.G. Hurley;E. Gath;J.G. Breslin.
IEEE Transactions on Power Electronics (2000)
Towards semantically-interlinked online communities
John G. Breslin;Andreas Harth;Uldis Bojars;Stefan Decker.
european semantic web conference (2005)
The Future of Social Networks on the Internet: The Need for Semantics
J. Breslin;S. Decker.
IEEE Internet Computing (2007)
Optimized transformer design: inclusive of high-frequency effects
W.G. Hurley;W.H. Wolfle;J.G. Breslin.
IEEE Transactions on Power Electronics (1998)
The Social Semantic Web
John G. Breslin;Alexandre Passant;Stefan Decker.
Online social and business networking communities
Ina O'Murchu;John G. Breslin;Stefan Decker.
SWWC'04 Proceedings of the 2004 International Conference on Application of Semantic Web Technologies to Web Communities - Volume 107 (2004)
Understanding how Twitter is used to spread scientific messages
Julie Letierce;Alexandre Passant;John Breslin;Stefan Decker.
The state of the art in tag ontologies: a semantic model for tagging and folksonomies
Hak Lae Kim;Simon Scerri;John G. Breslin;Stefan Decker.
international conference on dublin core and metadata applications (2008)
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder;Parsa Ghaffari;John G. Breslin.
empirical methods in natural language processing (2016)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: