Publications

Recent Conference/Workshop Proceedings

Mitra, Aniket; E.V, Vinu; Stat-n-Ball: Enhancing Probabilistic Knowledge Graph Embeddings with Geometric and Confidence-Aware Models, The Web Conference 2025 (WWW), 2025 (CORE’23: A*, h5-index: 32, h5-median: 51)

Naik, Prachi; E.V, Vinu; Balancing Privacy and Utility: Semantic Anonymization of Time-aware Knowledge Graphs, Extended Semantic Web Conference (ESWC), 2025 (CORE’21: A)

J, Nandhu; Sinha, G.R.; E.V, Vinu; NSAP: A Neural Network-Based Stress Analysis Pipeline Using EEG Topographic Images ICON-AI-SMT'25, 2025.

Mitra, Aniket; E.V, Vinu; Optimizing Class Subsumption through Controlled Dynamics of n-Balls in Vector Space, Extended Semantic Web Conference (ESWC), 2024 (CORE’21: A, h5-index: 32, h5-median: 51)

Mitra, Aniket; E.V, Vinu; Enhancing Region-Based Geometric Embedding for Gene-Disease Associa- tion, International Conference on Data Science and Management of Data (CoDs COMAD 2024) (Short Paper) (h5-index: 20, h5-median: 26)

D. L. Tosi, Mauro; E.V, Vinu; Theobald, Martin. TensAIR: Real-Time Training of Neural Networks from Data-streams, International Conference on Machine Learning and Soft Computing (ICMLSC), 2024. (h5-index: 12, h5-median: 20). (best paper presentation award)

Kulkarni, Apurva; E.V, Vinu; Ramanathan, Chandrashekar; Ontology Mediated Document Retrieval for Exploratory Big Data Analytics, 2023 IEEE 17th International Conference on Semantic Computing (ICSC), Page 100-103, Feb 2023 (h5-index: 22, h5-median: 32).

Kulkarni, Apurva; Ramanathan, Chandrashekar; E.V, Vinu; Cognitive Retrieve- Empowering Document Retrieval with Semantics and Domain- Specific Knowledge Graph, CIKM (Workshop on Enterprise Knowl- edge Graphs-LLM), 2023. (CORE: A, h5-index: 79, h5-median: 122)

Xu, Jingjing; Biryukov, Maria; Theobald, Martin, E.V, Vinu; BigText-QA: Question Answering over a Large- Scale Hybrid Knowledge Graph, EAI BDTA 2023 - 13th EAI International Conference on Big Data Technolo- gies and Applications, Aug 2023.

Kulkarni, Apurva; E.V, Vinu; Ramanathan, Chandrashekar; SDG Aligned Datalake Framework over Open Data; 11th Annual International Conference on Sustainable Development (ICSD), 2023.

D. L. Tosi, Mauro; E.V, Vinu; Theobald, Martin. Convergence time analysis of Asynchronous Distributed Artificial Neural Networks, ACM India Joint International Conference on Data Science and Management of Data (CoDs COMAD) 2022 (Short Paper) (h5-index: 20, h5-median: 26)

Kulkarni, Apurva; Bassin, Pooja; Sri Parasa, Niharika; E.V, Vinu, Srinivasa, Srinath; Ramanathan, Chandrashekar; Ontology Augmented Data Lake System for Policy Support, 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, Dec 2022.

 Refer: https://scholar.google.com.au/citations?user=S3BnBCIAAAAJ&hl=en (a detailed list of publications)

Journal Articles

Kulkarni, Apurva; Ramanathan, Chandrashekar; E.V, Vinu; Semantics-Aware Document Retrieval for Government Administrative Data, International Journal of Semantic Computing (IJSC), Vol. 17 Issue 3, Page 477-491, Sep 2023. DOI: 10.1142/S1793351X23300017 (CiteScore: 1.9, IF: .8, h5-index: 19, h5-median: 21).

E.V, Vinu; Theobald, Martin; Tassetti, Damien; Chaychi, Samira; Tawakuli, Amal; Targeting Light-Weight and Multi-Channel approach for Asynchronous Stream Data Processing, Journal of Parallel and Distributed Computing, Vol. 167, Page 18-30, April 2022. (CORE: A+, CiteScore: 10.2, IF: 3.8, h5-index: 65, h5-median: 98).

E.V, Vinu; Kumar, P Sreenivasa. Difficulty-level Modeling of Ontology-based Factual Questions, Semantic Web – Interoperability, Usability, Applicability. Vol 11, 1023-1036, (2020). DOI: 10.3233/SW-200381 (IF: 3.1058, h5-index: 41, h5-median: 68).

E.V, Vinu; Kumar, P Sreenivasa. Automated Generation of Assessment Tests from Domain Ontologies, Semantic Web – Interoperability, Usability, Applicability. Vol 8(6), 1023–1047, (2017) DOI: 10.3233/SW170252 (IF: 3.1058, h5-index: 41, h5-median: 68).

E.V, Vinu; Kumar, P Sreenivasa. A novel approach to generate MCQs from domain ontology: considering DL semantics and open-world assumption, Web Semantics: Science, Services and Agents on the World Wide Web, Vol 34 (C), 40-54, (2015) DOI: 10.1016/j.websem.2015.05.005 (CiteScore: 8.5, IF: 2.5, h5-index: 25, h5-median: 45)

Doctoral Colloquiums:

1. E.V, Vinu, Enhancing Assessment Systems Using Ontology Based Methods, Fourth IDRBT Doctoral Colloquium, Dec 2014.

Thesis:

Talks:

1. Talk on Advancement in Big Data Processing, RISE 2022 Event at IIITB

2. Talk and discussion on Reasoning Enabled High-Throughput Event Monitoring at European Space Agency, Luxembourg,  01 Mar. 2021 (Virtual Event)

3. 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)

4. 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)

5. Presented our paper on Benchmarking Synchronous and Asynchronous Stream Processing Systems at Young Researchers’ Symposium, COMAD 2019, Hyderabad, India.

6. Talk on Singular Vector Decomposition as a part of the Big Data Analytics lecture series at the University of Luxembourg, Luxembourg.

7. 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.

8. Invited talk on A Stream Data Processing Engine based on Asynchronous Message Passing at Max Planck Institute for Informatics, Saarbrücken, Germany.

9. Seminar on Generating Valid Multiple-Choice Questions from SHIQ ontologies by considering role- restrictions and open-world assumption at IIT Madras, India.

10. Seminar on Ontology-based Multiple-Choice Question Generation at IIT Madras, India.

11. Presented our paper on Improving large scale assessment tests using ontology based approaches at 28th International Florida Artificial Intelligence Research Society Conference, Miami, USA.

12. Talk on Enhancing Assessment Systems Using Ontology Based Methods at the Fourth IDRBT Doctoral Colloquium, Hyderabad, India.

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To check journal/conference quality, I follow (google's) h-index and h-median metrics. 

Top rated journals and conferences related to: 1. Semantic-web    2.  Big Data