Vinu E. Venugopal

According to our database, Vinu E. Venugopal authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Sustainable Data Practices: Integrating Open Data With SDG-Based Data Lake Frameworks.

Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal

IEEE Technol. Soc. Mag., March, 2024

TensAIR: Real-Time Training of Neural Networks from Data-streams.

Mauro Dalle Lucca Tosi, Vinu E. Venugopal, Martin Theobald

Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

Enhancing Region-Based Geometric Embedding for Gene-Disease Associations.

Aniket Mitra, Vinu E. Venugopal

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Semantics-Aware Document Retrieval for Government Administrative Data.

Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal

Int. J. Semantic Comput., September, 2023

Ontology Mediated Document Retrieval for Exploratory Big Data Analytics.

Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Cognitive Retrieve: Empowering Document Retrieval with Semantics and Domain Specific Knowledge Graph.

Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal

Proceedings of the Workshop on Enterprise Knowledge Graphs using Large Language Models (EKG-LLM 2023) co-located with 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph.

Jingjing Xu, Maria Biryukov, Martin Theobald, Vinu Ellampallil Venugopal

Proceedings of the Big Data Technologies and Applications, 2023

2022

Targeting a light-weight and multi-channel approach for distributed stream processing.

Vinu Ellampallil Venugopal, Martin Theobald, Damien Tassetti, Samira Chaychi, Amal Tawakuli

J. Parallel Distributed Comput., 2022

TensAIR: Online Learning from Data Streams via Asynchronous Iterative Routing.

Mauro Dalle Lucca Tosi, Vinu E. Venugopal, Martin Theobald

CoRR, 2022

Convergence time analysis of Asynchronous Distributed Artificial Neural Networks.

Mauro Dalle Lucca Tosi, Vinu Ellampallil Venugopal, Martin Theobald

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Ontology Augmented Data Lake System for Policy Support.

Apurva Kulkarni, Pooja Bassin, Niharika Sri Parasa, Vinu E. Venugopal, Srinath Srinivasa, Chandrashekar Ramanathan

Proceedings of the Big Data Analytics in Astronomy, Science, and Engineering, 2022

2021

Verbalizing but Not Just Verbatim Translations of Ontology Axioms.

Vinu Ellampallil Venugopal, P. Sreenivasa Kumar

Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020

Difficulty-level modeling of ontology-based factual questions.

Vinu E. Venugopal, P. Sreenivasa Kumar

Semantic Web, 2020

AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing.

Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback.

Yan Wu, Jinchuan Chen, Plarent Haxhidauti, Vinu E. Venugopal, Martin Theobald

Proceedings of the 6th Global Conference on Artificial Intelligence, 2020

Benchmarking Synchronous and Asynchronous Stream Processing Systems.

Vinu E. Venugopal, Martin Theobald

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Effective Stream Data Processing using Asynchronous Iterative Routing Protocol.

Vinu E. Venugopal, Martin Theobald

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Improving Ontology Verbalization using Semantic-level Refinement (Extended Abstract).

Vinu E. Venugopal, P. Sreenivasa Kumar

Proceedings of the 32nd International Workshop on Description Logics, 2019

2017

Automated generation of assessment tests from domain ontologies.

Vinu E. V, P. Sreenivasa Kumar

Semantic Web, 2017

2016

Ontology Verbalization using Semantic-Refinement.

Vinu E. V, P. Sreenivasa Kumar

CoRR, 2016

Redundancy-free Verbalization of Individuals for Ontology Validation.

Vinu E. V, P. Sreenivasa Kumar

CoRR, 2016

Modeling of Item-Difficulty for Ontology-based MCQs.

Vinu E. V, Tahani Alsubait, P. Sreenivasa Kumar

CoRR, 2016

2015

A novel approach to generate MCQs from domain ontology: Considering DL semantics and open-world assumption.

Vinu E. V, Sreenivasa Kumar Puligundla

J. Web Semant., 2015

Improving Large-Scale Assessment Tests by Ontology Based Approach.

Vinu E. V, P. Sreenivasa Kumar

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015