Publications
International Conferences (Full papers):
Kulkarni, Apurva; E.V, Vinu; R, Chandrashekar; Semantics-aware Document Retrieval for Government Administrative Data, ESCRI 2023.
Kulkarni, Apurva; R, Chandrashekar; E.V, Vinu; Ontology Mediated Document Retrieval for Exploratory Big Data Analytics, ICSC 2022.
Kulkarni, Apurva; Bassin, Pooja; Parasa, Niharikasri; Srinivasa, Srinath; E.V, Vinu; R, Chandrashekar; Ontology Augmented Data Lake System for Policy Support, International Conference on Big Data Analytics 2022.
E.V, Vinu; Kumar, P Sreenivasa, Verbalizing but not just Verbatim Translations of Ontology Axioms, BNAIC2021 [link]
E.V, Vinu; Theobald, Martin; Chaychi, Samira; Tawakuli, Amal, AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. SBAC-PAD 2020 (nominated for best paper award)
Wu, Yan; Chen, Jinchuan; Haxihauti, Plarent; E.V, Vinu; Theobald, Martin; GILP: Guided Inductive Logic Programming for Cleaning Knowledge Bases with Iterative User Feedback, GCAI’20.
E.V, Vinu; Kumar, P Sreenivasa, Improving large scale assessment tests using ontology based approaches, In the Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, Hollywood, Florida. May 18-20, 2015, Page 457, 2015. [link] (best student paper finalist)
Posters/Short Paper:
Convergence time analysis of Asynchronous Distributed Artificial Neural Networks, CoDs COMAD 2022, Mauro Dalle Lucca Tosi, Vinu E. Venugopal and Martin Theobald [link] video
Dalle Lucca Tosi, Mauro; Theobald, Martin; E.V, Vinu; Online Learning using Distributed Neural Networks. DTU DRIVEN Colloquium 2021. [link]
E.V, Vinu; Theobald, Martin; Effective Stream-data processing using Asynchronous Iterative Routing Protocols. BigData2021 [Poster+shortpaper]
E.V, Vinu; Theobald, Martin, Benchmarking Synchronous and Asynchronous Stream Processing Systems, CoDS COMAD 2020: Proceedings of the 7th ACM IKDD CoDS and 25th COMADJanuary 2020 Pages 322–323 [PPT] [PDF]
E.V, Vinu; Kumar, P Sreenivasa, Improving Ontology Verbalization using Semantic-level Refinement, In the Proceedings of DL2019, Oslo, Norway. June 18-21, 2019 [PPT] [Poster]
Submitted/Work-in-progress:
Jingjing, Xu; E.V, Vinu; Theobald, Martin. Improving Question Answering using Large-scale Hybrid Knowledge Graph, ICKG'21 (work in progress)
E.V, Vinu; Theobald, Martin, Tassetti, Damien; Flow-Wrapping: Distributed Progress Tracking for Asynchronous Client-Client Streaming Data Processing Protocols. (work in progress)
Journals:
E.V, Vinu; Theobald, Martin; Tassetti, Damien; Chaychi, Samira; Tawakuli, Amal. Targeting Light-Weight and Multi-Channel approach for Asynchronous Stream Data Processing, Submitted to the Special Issue on “Computer Architecture and High-Performance Computing”, Journal of Parallel and Distributed Computing (accepted on 25th April, 2022)
E.V, Vinu; Kumar, P Sreenivasa, Effective Verbalization of Ontologies using Semantic-Refinement, Journal of Web Semantics. Undergoing revision, Aug 2020. [link]
E.V, Vinu; Kumar, P Sreenivasa, Difficulty-level Modeling of Ontology-based Factual Questions, Semantic Web Journal. Accepted, Nov 2018. [link]
E.V, Vinu; Kumar, P Sreenivasa, Automated Generation of Assessment Tests from Domain Ontologies, Semantic Web Journal, Volume 6, 1023-1047, July 2017. [link]
E.V, Vinu; Kumar, P Sreenivasa, A novel approach to generate MCQs from domain ontology: considering DL semantics and open-world assumption, Journal of Web Semantics: Science, Services and Agents on the World Wide Web, Volume 34 (C), 40-54, May 2015. [link]
E.V, Vinu; Kumar, Narayana, Sriman N Ch Iyenkar, An Intelligent Online Social Network Analyzer, International Journal of Computer Applications Volume 26, 39-44, June 2011.
Submitted/Work-in-progress:
...
Technical Reports:
E.V, Vinu; Alsubait, Tahani; Kumar, P Sreenivasa, Modeling of Item-Difficulty for Ontology-based MCQs, arXiv:1607.00869 Technical Report [link]
E.V, Vinu; Kumar, P Sreenivasa, Redundancy-free Verbalization of Individuals for Ontology Validation, arXiv:1607.07027 Technical Report 2016. [link]
Doctoral Colloquiums:
E.V, Vinu, Enhancing Assessment Systems Using Ontology Based Methods, Fourth IDRBT Doctoral Colloquium, Dec 2014.
Thesis:
Talks:
Talk on Advancement in Big Data Processing, RISE 2022 Event at IIITB
Talk and discussion on Reasoning Enabled High-Throughput Event Monitoring at European Space Agency, Luxembourg, 01 Mar. 2021 (Virtual Event)
Invited talk on Asynchronous Stream Data Processing using a Light-Weight and High-Performance Dataflow Engine at Dutch-Belgian Database Day (DBDBD) Workshop, Brussels, Belgium, 11 Dec. 2020 (Virtual Event)
Presented our paper on A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing at IEEE 32nd International Symposium on Computer Architecture and High Performance Computing Porto, Portugal. (Virtual Event)
Presented our paper on Benchmarking Synchronous and Asynchronous Stream Processing Systems at Young Researchers’ Symposium, COMAD 2019, Hyderabad, India.
Talk on Singular Vector Decomposition as a part of the Big Data Analytics lecture series at the University of Luxembourg, Luxembourg.
Talk on Geo-spatial and temporal data analytics using Spark as a part of Big Data Analytics lecture series at the University of Luxembourg, Luxembourg.
Invited talk on A Stream Data Processing Engine based on Asynchronous Message Passing at Max Planck Institute for Informatics, Saarbrücken, Germany.
Seminar on Generating Valid Multiple-Choice Questions from SHIQ ontologies by considering role- restrictions and open-world assumption at IIT Madras, India.
Seminar on Ontology-based Multiple-Choice Question Generation at IIT Madras, India.
Presented our paper on Improving large scale assessment tests using ontology based approaches at 28th International Florida Artificial Intelligence Research Society Conference, Miami, USA.
Talk on Enhancing Assessment Systems Using Ontology Based Methods at the Fourth IDRBT Doctoral Colloquium, Hyderabad, India.
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