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ORCIDVinu E. Venugopal
Person information
- affiliation: International Institute of Information Technology, Bangalore, India
- affiliation (former): University of Luxembourg
- affiliation (former): IIT Madras, India
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2020 – today
- 2024
[j6]Apurva Kulkarni
, Chandrashekar Ramanathan, Vinu E. Venugopal:
Toward Sustainable Data Practices: Integrating Open Data With SDG-Based Data Lake Frameworks. IEEE Technol. Soc. Mag. 43(1): 62-69 (2024)- [c14]Aniket Mitra, Vinu E. Venugopal:
Enhancing Region-Based Geometric Embedding for Gene-Disease Associations. COMAD/CODS 2024: 584-585 - [c13]Mauro Dalle Lucca Tosi, Vinu E. Venugopal, Martin Theobald:
TensAIR: Real-Time Training of Neural Networks from Data-streams. ICMLSC 2024: 73-82 - 2023
- [j5]Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal:
Semantics-Aware Document Retrieval for Government Administrative Data. Int. J. Semantic Comput. 17(3): 477-491 (2023) - [c12]Jingjing Xu, Maria Biryukov, Martin Theobald, Vinu Ellampallil Venugopal:
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph. BDTA 2023: 33-48 - [c11]Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal:
Cognitive Retrieve: Empowering Document Retrieval with Semantics and Domain Specific Knowledge Graph. EKG-LLM@CIKM 2023 - [c10]Apurva Kulkarni, Chandrashekar Ramanathan, Vinu E. Venugopal:
Ontology Mediated Document Retrieval for Exploratory Big Data Analytics. ICSC 2023: 100-103 - 2022
- [j4]Vinu Ellampallil Venugopal, Martin Theobald, Damien Tassetti, Samira Chaychi, Amal Tawakuli:
Targeting a light-weight and multi-channel approach for distributed stream processing. J. Parallel Distributed Comput. 167: 77-96 (2022) - [c9]Apurva Kulkarni, Pooja Bassin, Niharika Sri Parasa, Vinu E. Venugopal, Srinath Srinivasa, Chandrashekar Ramanathan:
Ontology Augmented Data Lake System for Policy Support. BDA (Astronomy, Science, and Engineering) 2022: 3-16 - [c8]Mauro Dalle Lucca Tosi, Vinu Ellampallil Venugopal, Martin Theobald:
Convergence time analysis of Asynchronous Distributed Artificial Neural Networks. COMAD/CODS 2022: 314-315 - [i7]Mauro Dalle Lucca Tosi, Vinu E. Venugopal, Martin Theobald:
TensAIR: Online Learning from Data Streams via Asynchronous Iterative Routing. CoRR abs/2211.10280 (2022) - [i6]Jingjing Xu, Maria Biryukov, Martin Theobald, Vinu Ellampallil Venugopal:
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph. CoRR abs/2212.05798 (2022) - 2021
- [c7]Vinu Ellampallil Venugopal, P. Sreenivasa Kumar:
Verbalizing but Not Just Verbatim Translations of Ontology Axioms. BNAIC/BENELEARN 2021: 170-186 - 2020
- [j3]Vinu E. Venugopal, P. Sreenivasa Kumar:
Difficulty-level modeling of ontology-based factual questions. Semantic Web 11(6): 1023-1036 (2020) - [c6]Vinu E. Venugopal, Martin Theobald:
Effective Stream Data Processing using Asynchronous Iterative Routing Protocol. IEEE BigData 2020: 5846-5848 - [c5]Vinu E. Venugopal, Martin Theobald:
Benchmarking Synchronous and Asynchronous Stream Processing Systems. COMAD/CODS 2020: 322-323 - [c4]Yan Wu, Jinchuan Chen, Plarent Haxhidauti, Vinu E. Venugopal, Martin Theobald:
Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback. GCAI 2020: 92-106 - [c3]Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli:
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. SBAC-PAD 2020: 51-58 - [i5]Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli:
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. CoRR abs/2001.00164 (2020)
2010 – 2019
- 2019
- [c2]Vinu E. Venugopal, P. Sreenivasa Kumar:
Improving Ontology Verbalization using Semantic-level Refinement (Extended Abstract). Description Logics 2019 - 2017
- [j2]Vinu E. V, P. Sreenivasa Kumar:
Automated generation of assessment tests from domain ontologies. Semantic Web 8(6): 1023-1047 (2017) - [i4]Vinu E. V, P. Sreenivasa Kumar:
Difficulty-level Modeling of Ontology-based Factual Questions. CoRR abs/1709.00670 (2017) - 2016
- [i3]Vinu E. V, Tahani Alsubait, P. Sreenivasa Kumar:
Modeling of Item-Difficulty for Ontology-based MCQs. CoRR abs/1607.00869 (2016) - [i2]Vinu E. V, P. Sreenivasa Kumar:
Redundancy-free Verbalization of Individuals for Ontology Validation. CoRR abs/1607.07027 (2016) - [i1]Vinu E. V, P. Sreenivasa Kumar:
Ontology Verbalization using Semantic-Refinement. CoRR abs/1610.09964 (2016) - 2015
- [j1]Vinu E. V, Sreenivasa Kumar Puligundla:
A novel approach to generate MCQs from domain ontology: Considering DL semantics and open-world assumption. J. Web Semant. 34: 40-54 (2015) - [c1]Vinu E. V, P. Sreenivasa Kumar:
Improving Large-Scale Assessment Tests by Ontology Based Approach. FLAIRS 2015: 457-
Coauthor Index
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