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ORCIDJohn G. Breslin
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- affiliation: National University of Ireland, Galway, Ireland
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2020 – today
- 2022
[j36]Abderahman Rejeb, John G. Keogh
, Wayne Martindale, Damion M. Dooley, Edward Smart, Steven Simske, Samuel Fosso Wamba, John G. Breslin, Kosala Yapa Bandara, Subhasis Thakur, Kelly Liu, Bridgette Crowley, Sowmya Desaraju, Angela Ospina, Horia Bradau:
Charting Past, Present, and Future Research in the Semantic Web and Interoperability. Future Internet 14(6): 161 (2022)- [j35]Bharath Sudharsan, John G. Breslin, Mehreen Tahir, Muhammad Intizar Ali, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan:
OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices. IEEE Internet Comput. 26(3): 69-78 (2022) - [j34]Muhammad Jaleed Khan, John G. Breslin, Edward Curry:
Common Sense Knowledge Infusion for Visual Understanding and Reasoning: Approaches, Challenges, and Applications. IEEE Internet Comput. 26(4): 21-27 (2022) - [c142]Muhammad Yahya, Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, John G. Breslin, Muhammad Intizar Ali, Evgeny Kharlamov:
Towards Generalized Welding Ontology in Line with ISO and Knowledge Graph Construction. ESWC (Satellite Events) 2022: 83-88 - [c141]Muhammad Jaleed Khan, John G. Breslin, Edward Curry:
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and Reasoning. ESWC 2022: 93-112 - [c140]Bharath Sudharsan, Panchakarla S. Rahul, Piyush Yadav, Suneet Kumar Gupta, Vimal Kumar, Duc-Duy Nguyen, Muhammad Intizar Ali, John G. Breslin:
RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. ICCPS 2022: 296-297 - [c139]Bharath Sudharsan, Simone Salerno, Piyush Yadav, John G. Breslin:
Poster Abstract: Approach for Remote, On-Demand loading and Execution of TensorFlow Lite ML Models on Arduino IoT Boards. IPSN 2022: 521-522 - [c138]Dhruv Sheth, Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Poster Abstract: Embedded ML Pipeline for Precision Agriculture. IPSN 2022: 527-528 - [c137]Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan:
TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. PerCom Workshops 2022: 79-81 - [c136]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali, Peter Corcoran, Rajiv Ranjan:
ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT. SAC 2022: 246-254 - [c135]Mirco Soderi, Vignesh Kamath, John G. Breslin:
A Demo of a Software Platform for Ubiquitous Big Data Engineering, Visualization, and Analytics, via Reconfigurable Micro-Services, in Smart Factories. SMARTCOMP 2022: 1-3 - [c134]Mirco Soderi, Vignesh Kamath, John G. Breslin:
Toward an API-Driven Infinite Cyber-Screen for Custom Real-Time Display of Big Data Streams. SMARTCOMP 2022: 153-155 - [i14]Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Schahram Dustdar, Albert Y. Zomaya, Rajiv Ranjan:
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. CoRR abs/2204.10183 (2022) - 2021
- [j33]Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy F. Harik, Amit P. Sheth:
Cognitive Digital Twins for Smart Manufacturing. IEEE Intell. Syst. 36(2): 96-100 (2021) - [j32]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Karan Mitra, Schahram Dustdar, Omer F. Rana, Prem Prakash Jayaraman, Rajiv Ranjan:
Toward Distributed, Global, Deep Learning Using IoT Devices. IEEE Internet Comput. 25(3): 6-12 (2021) - [j31]Saurabh Shukla, Subhasis Thakur, Shahid Hussain, John G. Breslin, Syed Muslim Jameel:
Identification and Authentication in Healthcare Internet-of-Things Using Integrated Fog Computing Based Blockchain Model. Internet Things 15: 100422 (2021) - [j30]Radhya Sahal, Saeed H. Alsamhi, John G. Breslin, Muhammad Intizar Ali:
Industry 4.0 towards Forestry 4.0: Fire Detection Use Case. Sensors 21(3): 694 (2021) - [j29]Subhasis Thakur, John G. Breslin:
Rumour prevention in social networks with layer 2 blockchains. Soc. Netw. Anal. Min. 11(1): 104 (2021) - [c133]Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware. SCC 2021: 319-328 - [c132]Bharath Sudharsan, Piyush Yadav, Duc-Duy Nguyen, Jefkine Kafunah, John G. Breslin:
Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT. IEEE BigData 2021: 1960-1963 - [c131]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. IEEE BigData 2021: 4974-4978 - [c130]Saurabh Shukla, Subhasis Thakur, Shahid Hussain, John G. Breslin:
A Blockchain-Enabled Fog Computing Model for Peer-To-Peer Energy Trading in Smart Grid. BLOCKCHAIN 2021: 14-23 - [c129]Anupa De Silva, Subhasis Thakur, John G. Breslin:
Towards Micropayment for Intermediary Based Trading. BLOCKCHAIN 2021: 222-232 - [c128]Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
An Intelligent Doorbell Design Using Federated Deep Learning. COMAD/CODS 2021: 380-384 - [c127]Parit Mehta, Rudresh Dwivedi, Ciaran Feeney, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
Towards Designing an Explainable-AI based Solution for Livestock Mart Industry. COMAD/CODS 2021: 421 - [c126]Saurabh Shukla, Subhasis Thakur, John G. Breslin:
Secure Communication in Smart Meters using Elliptic Curve Cryptography and Digital Signature Algorithm. CSR 2021: 261-266 - [c125]Federica Rollo, Bharath Sudharsan, Laura Po, John G. Breslin:
Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case. UbiComp/ISWC Adjunct 2021: 67-68 - [c124]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract. ICCPS 2021: 223-224 - [c123]Saurabh Shukla, Subhasis Thakur, John G. Breslin:
Secure Data Transmission in Smart Meters Using Q-Learning in Fog Computing Environment. ICICT (3) 2021: 667-678 - [c122]Mirco Soderi, Vignesh Kamath, Jeff Morgan, John G. Breslin:
Ubiquitous System Integration as a Service in Smart Factories. IoTaIS 2021: 261-267 - [c121]Bharath Sudharsan, Pankesh Patel, Abdul Wahid, Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali:
Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract. IoTDI 2021: 265-266 - [c120]Kosala Yapa Bandara, John G. Breslin:
BaaS Architecture for DApps and Application for Veterinary Medicine Case Study in Ireland. ISNCC 2021: 1-6 - [c119]Saurabh Shukla, Subhasis Thakur, John G. Breslin:
Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM. LOD 2021: 157-171 - [c118]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption. PerCom Workshops 2021: 316-319 - [c117]Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices. PerCom Workshops 2021: 680-685 - [c116]Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. ECML/PKDD (5) 2021: 20-35 - [c115]Bharath Sudharsan, Dhruv Sheth, Shailesh Arya, Federica Rollo, Piyush Yadav, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT. SenSys 2021: 382-383 - [c114]Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 97-106 - [c113]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 107-114 - [c112]Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali:
OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. WF-IoT 2021: 83-88 - [c111]Bharath Sudharsan, Simone Salerno, Duc-Duy Nguyen, Muhammad Yahya, Abdul Wahid, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali:
TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. WF-IoT 2021: 883-884 - 2020
- [j28]Subhasis Thakur, John G. Breslin:
Scalable and secure product serialization for multi-party perishable good supply chains using blockchain. Internet Things 11: 100253 (2020) - [c110]Subhasis Thakur, John G. Breslin:
Coordinated Landmark-based Routing for Blockchain Offline Channels. BCCA 2020: 108-114 - [c109]Subhasis Thakur, John G. Breslin:
A Model of Decentralized Social Internet of Things using Blockchain Offline Channels. BCCA 2020: 115-121 - [c108]Kosala Yapa Bandara, Subhasis Thakur, John G. Breslin:
Enrichment of Blockchain Transaction Management with Semantic Triples. Blockchain 2020: 188-195 - [c107]Subhasis Thakur, John G. Breslin:
An Edge Colouring-based Collaborative Routing Protocol for Blockchain Offline Channels. Blockchain 2020: 343-350 - [c106]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices. IOT 2020: 5:1-5:8 - [c105]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices. IOT 2020: 6:1-6:8 - [c104]Bharath Sudharsan, Dineshkumar Sundaram, John G. Breslin, Muhammad Intizar Ali:
Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches. IOT Companion 2020: 7:1-7:9 - [c103]Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. WF-IoT 2020: 1-6 - [e17]Manolis Koubarakis, Harith Alani, Grigoris Antoniou, Kalina Bontcheva, John G. Breslin, Diego Collarana, Elena Demidova, Stefan Dietze, Simon Gottschalk, Guido Governatori, Aidan Hogan, Freddy Lécué, Elena Montiel-Ponsoda, Axel-Cyrille Ngonga Ngomo, Sofia Pinto, Muhammad Saleem, Raphaël Troncy, Eleni Tsalapati, Ricardo Usbeck, Ruben Verborgh:
Joint Proceedings of Workshops AI4LEGAL2020, NLIWOD, PROFILES 2020, QuWeDa 2020 and SEMIFORM2020 Colocated with the 19th International Semantic Web Conference (ISWC 2020), Virtual Conference, November, 2020. CEUR Workshop Proceedings 2722, CEUR-WS.org 2020 [contents] - [i13]Tapan Pathak, Vatsal Patel, Sarth Kanani, Shailesh Arya, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
A Distributed Framework to Orchestrate Video Analytics Applications. CoRR abs/2009.09065 (2020) - [i12]Dixon Vimalajeewa, Subhasis Thakur, John G. Breslin, Donagh P. Berry, Sasitharan Balasubramaniam:
Block Chain and Internet of Nano-Things for Optimizing Chemical Sensing in Smart Farming. CoRR abs/2010.01941 (2020) - [i11]Bhavin Joshi, Tapan Pathak, Vatsal Patel, Sarth Kanani, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
Demonstration of a Cloud-based Software Framework for Video Analytics Application using Low-Cost IoT Devices. CoRR abs/2010.07680 (2020) - [i10]Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin:
A Demonstration of Smart Doorbell Design Using Federated Deep Learning. CoRR abs/2010.09687 (2020)
2010 – 2019
- 2019
- [j27]Hoan Nguyen Mau Quoc, Martin Serrano, Han Mau Nguyen, John G. Breslin, Danh Le Phuoc:
EAGLE - A Scalable Query Processing Engine for Linked Sensor Data. Sensors 19(20): 4362 (2019) - [j26]Subhasis Thakur, John G. Breslin:
A Robust Reputation Management Mechanism in the Federated Cloud. IEEE Trans. Cloud Comput. 7(3): 625-637 (2019) - [c102]Subhasis Thakur, John G. Breslin:
A Balanced Routing Algorithm for Blockchain Offline Channels Using Flocking. BLOCKCHAIN 2019: 79-86 - [c101]Muhammad Intizar Ali, Pankesh Patel, John G. Breslin:
Middleware for Real-Time Event Detection andPredictive Analytics in Smart Manufacturing. DCOSS 2019: 370-376 - [c100]Radhya Sahal, John G. Breslin, Muhammad Intizar Ali:
On Evaluating the Impact of Changes in IoT Data Streams Rate over Query Window Configurations. DEBS 2019: 262-263 - [c99]Safina Showkat Ara, Subhasis Thakur, John G. Breslin:
Distributed ACO Based Reputation Management in Crowdsourcing. IDCS 2019: 379-390 - [c98]Safina Showkat Ara, Subhasis Thakur, John G. Breslin:
Secure and Distributed Crowd-Sourcing Task Coordination Using the Blockchain Mechanism. IDCS 2019: 402-413 - [c97]Subhasis Thakur, John G. Breslin:
Collusion Attack from Hubs in The Blockchain Offline Channel Network. MARBLE 2019: 31-44 - [e16]Elena Demidova, Stefan Dietze, John G. Breslin, Simon Gottschalk, Philipp Cimiano, Basil Ell, Agnieszka Lawrynowicz, Laura Moss, Axel-Cyrille Ngonga Ngomo:
Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2465, CEUR-WS.org 2019 [contents] - 2018
- [j25]Piyush Verma, Brian O'regan, Barry P. Hayes, Subhasis Thakur, John G. Breslin:
EnerPort: Irish Blockchain project for peer- to-peer energy trading: An overview of the project and expected contributions. Energy Inform. 1(1) (2018) - [j24]Tiago Badre Marino, Maria Luiza Machado Campos, Marcos R. S. Borges, John G. Breslin, Maciej Dabrowski:
Architecture for gathering and integrating collaborative information for decision support in emergency situations. Int. J. Inf. Commun. Technol. 12(3/4): 345-363 (2018) - [j23]Mohamed Ben Ellefi, Zohra Bellahsene, John G. Breslin, Elena Demidova, Stefan Dietze, Julian Szymanski, Konstantin Todorov:
RDF dataset profiling - a survey of features, methods, vocabularies and applications. Semantic Web 9(5): 677-705 (2018) - [j22]Guangyuan Piao, John G. Breslin:
Inferring user interests in microblogging social networks: a survey. User Model. User Adapt. Interact. 28(3): 277-329 (2018) - [c96]Guangyuan Piao, John G. Breslin:
A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations. DL4KGS@ESWC 2018: 2-13 - [c95]Guangyuan Piao, John G. Breslin:
Domain-Aware Sentiment Classification with GRUs and CNNs. SemWebEval@ESWC 2018: 129-139 - [c94]Guangyuan Piao, John G. Breslin:
A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations. ESWC (Satellite Events) 2018: 345-359 - [c93]Guangyuan Piao, John G. Breslin:
Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model. ESWC 2018: 496-511 - [c92]Alessia Antelnni, John G. Breslin, Karen Young:
Understanding User Engagement with Entertainment Media: A Case Study of the Twitter Behaviour of Game of Thrones (GoT) Fans. GEM 2018: 1-9 - [c91]Guangyuan Piao, John G. Breslin:
Learning to Rank Tweets with Author-Based Long Short-Term Memory Networks. ICWE 2018: 288-295 - [c90]Hoan Nguyen Mau Quoc, Martin Serrano, John G. Breslin, Danh Le Phuoc:
A learning approach for query planning on spatio-temporal IoT data. IOT 2018: 1:1-1:8 - [c89]Subhasis Thakur, John G. Breslin:
Electric Vehicle Charging Queue Management with Blockchain. IOV 2018: 249-264 - [c88]Laura Koesten, Elena Demidova, Vadim Savenkov, John G. Breslin, Óscar Corcho, Stefan Dietze, Elena Simperl:
PROFILES & DATA: SEARCH International Workshop on Profiling and Searching Data on the Web Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1479-1480 - [c87]Guangyuan Piao, John G. Breslin:
Financial Aspect and Sentiment Predictions with Deep Neural Networks: An Ensemble Approach. WWW (Companion Volume) 2018: 1973-1977 - [r4]Ted Vickey, John G. Breslin:
Social Networks for Quantified Self. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c86]Safina Showkat Ara, Subhasis Thakur, John G. Breslin:
Expertise Discovery in Decentralised Online Social Networks. ASONAM 2017: 244-249 - [c85]Francesco Guerra, Yannis Velegrakis, Jorge Cardoso, John G. Breslin:
The KEYSTONE IC1302 COST Action. International KEYSTONE Conference 2017: 187-195 - [c84]Guangyuan Piao, John G. Breslin:
Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies. ECIR 2017: 122-133 - [c83]Guangyuan Piao, John G. Breslin:
Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter. HT 2017: 155-164 - [c82]Guangyuan Piao, John G. Breslin:
Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations. WISE (2) 2017: 420-434 - [e15]Elena Demidova, Stefan Dietze, Julian Szymanski, John G. Breslin:
Proceedings of the 4th International Workshop on Dataset PROFIling and fEderated Search for Web Data (PROFILES 2017) co-located with The 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 22, 2017. CEUR Workshop Proceedings 1927, CEUR-WS.org 2017 [contents] - [i9]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
Knowledge Adaptation: Teaching to Adapt. CoRR abs/1702.02052 (2017) - [i8]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
Data Selection Strategies for Multi-Domain Sentiment Analysis. CoRR abs/1702.02426 (2017) - [i7]Guangyuan Piao, John G. Breslin:
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations. CoRR abs/1707.05651 (2017) - [i6]Guangyuan Piao, John G. Breslin:
Inferring User Interests in Microblogging Social Networks: A Survey. CoRR abs/1712.07691 (2017) - 2016
- [j21]Lukasz Porwol, Adegboyega Ojo, John G. Breslin:
An ontology for next generation e-Participation initiatives. Gov. Inf. Q. 33(3): 583-594 (2016) - [c81]Peiman Barnaghi, Parsa Ghaffari, John G. Breslin:
Opinion Mining and Sentiment Polarity on Twitter and Correlation between Events and Sentiment. BigDataService 2016: 52-57 - [c80]Guangyuan Piao, John G. Breslin:
User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations. CIKM 2016: 2057-2060 - [c79]Guangyuan Piao, John G. Breslin:
Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter. EKAW 2016: 496-510 - [c78]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. EMNLP 2016: 999-1005 - [c77]Guangyuan Piao, John G. Breslin:
Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations. SEMANTiCS 2016: 81-88 - [c76]Guangyuan Piao, John G. Breslin:
Measuring semantic distance for linked open data-enabled recommender systems. SAC 2016: 315-320 - [c75]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification. SemEval@NAACL-HLT 2016: 178-182 - [c74]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis. SemEval@NAACL-HLT 2016: 330-336 - [c73]Guangyuan Piao, John G. Breslin:
Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations. UMAP 2016: 105-109 - [c72]Guangyuan Piao, John G. Breslin:
Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations. UMAP 2016: 291-292 - [e14]Elena Demidova, Stefan Dietze, Julian Szymanski, John G. Breslin:
Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '16) co-located with the 13th ESWC 2016 Conference, Anissaras, Greece, May 30, 2016. CEUR Workshop Proceedings 1597, CEUR-WS.org 2016 [contents] - [e13]Tope Omitola, John G. Breslin, Payam M. Barnaghi:
Proceedings of the Sixth Workshop on Semantics for Smarter Cities a Workshop at the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, USA, October 11-12, 2015. CEUR Workshop Proceedings 1630, CEUR-WS.org 2016 [contents] - [e12]Pascal Molli, John G. Breslin, Maria-Esther Vidal:
Semantic Web Collaborative Spaces - Second International Workshop, SWCS 2013, Montpellier, France, May 27, 2013, Third International Workshop, SWCS 2014, Trentino, Italy, October 19, 2014, Revised Selected and Invited Papers. Lecture Notes in Computer Science 9507, Springer 2016, ISBN 978-3-319-32666-5 [contents] - [i5]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. CoRR abs/1609.02745 (2016) - [i4]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification. CoRR abs/1609.02746 (2016) - [i3]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis. CoRR abs/1609.02748 (2016) - [i2]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
Character-level and Multi-channel Convolutional Neural Networks for Large-scale Authorship Attribution. CoRR abs/1609.06686 (2016) - [i1]Sebastian Ruder, Parsa Ghaffari, John G. Breslin:
Towards a continuous modeling of natural language domains. CoRR abs/1610.09158 (2016) - 2015
- [b2]Tope Omitola, Sebastián A. Ríos, John G. Breslin:
Social Semantic Web Mining. Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers 2015 - [c71]Lukasz Porwol, Islam A. Hassan, Adegboyega K. Ojo, John G. Breslin:
Harnessing spontaneous participation on social media: implementing the knowledge extraction component. DG.O 2015: 333-334 - [c70]John G. Breslin, Owen Sacco:
Towards Privacy Aware Social Semantic Digital Libraries. ELPUB 2015: 160-162 - [c69]Lukasz Porwol, Islam A. Hassan, Adegboyega K. Ojo, John G. Breslin:
A Knowledge Extraction and Management Component to Support Spontaneous Participation. ePart 2015: 68-80 - [c68]Myriam Leggieri, Christian von der Weth, John G. Breslin:
Using sensors to bridge the gap between real places and their web-based representations. ISSNIP 2015: 1-6 - [c67]David N. Crowley, John G. Breslin, Edward Curry:
Towards a citizen actuation framework for smart environments. ISTAS 2015: 1-5 - [c66]