Improving Large-Scale Assessment Tests by Ontology Based Approach. - Vinu E. V; P. Sreenivasa Kumar 001 (FLAIRS, 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)

Modeling of Item-Difficulty for Ontology-based MCQs. - Vinu E. V; Tahani Alsubait; P. Sreenivasa Kumar 001 (CoRR, 2016)

Redundancy-free Verbalization of Individuals for Ontology Validation. - Vinu E. V; P. Sreenivasa Kumar 001 (CoRR, 2016)

Ontology Verbalization using Semantic-Refinement. - Vinu E. V; P. Sreenivasa Kumar 001 (CoRR, 2016)

Automated generation of assessment tests from domain ontologies. - Vinu E. V; P. Sreenivasa Kumar 001 (Semantic Web, 2017)

Improving Ontology Verbalization using Semantic-level Refinement (Extended Abstract). - Vinu E. Venugopal; P. Sreenivasa Kumar 001 (Description Logics, 2019)

Effective Stream Data Processing using Asynchronous Iterative Routing Protocol. - Vinu E. Venugopal; Martin Theobald (IEEE BigData, 2020)

Benchmarking Synchronous and Asynchronous Stream Processing Systems. - Vinu E. Venugopal; Martin Theobald (COMAD/CODS, 2020)

Guided Inductive Logic Programming: Cleaning Knowledge Bases with Iterative User Feedback. - Yan Wu; Jinchuan Chen; Plarent Haxhidauti; Vinu E. Venugopal; Martin Theobald (GCAI, 2020)

AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. - Vinu E. Venugopal; Martin Theobald; Samira Chaychi; Amal Tawakuli (SBAC-PAD, 2020)

Difficulty-level modeling of ontology-based factual questions. - Vinu E. Venugopal; P. Sreenivasa Kumar 001 (Semantic Web, 2020)

Verbalizing but Not Just Verbatim Translations of Ontology Axioms. - Vinu Ellampallil Venugopal; P. Sreenivasa Kumar 001 (BNAIC/BENELEARN, 2021)

Ontology Augmented Data Lake System for Policy Support. - Apurva Kulkarni; Pooja Bassin; Niharika Sri Parasa; Vinu E. Venugopal; Srinath Srinivasa; Chandrashekar Ramanathan (BDA (Astronomy, Science, and Engineering), 2022)

Convergence time analysis of Asynchronous Distributed Artificial Neural Networks. - Mauro Dalle Lucca Tosi; Vinu Ellampallil Venugopal; Martin Theobald (COMAD/CODS, 2022)

TensAIR: Online Learning from Data Streams via Asynchronous Iterative Routing. - Mauro Dalle Lucca Tosi; Vinu E. Venugopal; Martin Theobald (CoRR, 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)

BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph. - Jingjing Xu; Maria Biryukov; Martin Theobald; Vinu Ellampallil Venugopal (BDTA, 2023)

Cognitive Retrieve: Empowering Document Retrieval with Semantics and Domain Specific Knowledge Graph. - Apurva Kulkarni; Chandrashekar Ramanathan; Vinu E. Venugopal (EKG-LLM@CIKM, 2023)

Ontology Mediated Document Retrieval for Exploratory Big Data Analytics. - Apurva Kulkarni; Chandrashekar Ramanathan; Vinu E. Venugopal (ICSC, 2023)

Semantics-Aware Document Retrieval for Government Administrative Data. - Apurva Kulkarni; Chandrashekar Ramanathan; Vinu E. Venugopal (Int. J. Semantic Comput., 2023)

Enhancing Region-Based Geometric Embedding for Gene-Disease Associations. - Aniket Mitra; Vinu E. Venugopal (COMAD/CODS, 2024)

Optimizing Class Subsumption Through Controlled Dynamics of n-Balls in Vector Space. - Aniket Mitra; Vinu E. Venugopal (ESWC Satellite Events (1), 2024)

TensAIR: Real-Time Training of Neural Networks from Data-streams. - Mauro Dalle Lucca Tosi; Vinu E. Venugopal; Martin Theobald (ICMLSC, 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., 2024)

Balancing Privacy and Utility: Semantic Anonymization of Time-Aware Knowledge Graphs. - Prachi Naik; Vinu E. Venugopal (ESWC (1), 2025)

Stat-n-Ball: Enhancing Probabilistic Knowledge Graph Embeddings with Geometric and Confidence-Aware Models. - Aniket Mitra; Vinu E. Venugopal (WWW (Companion Volume), 2025)