Apurva Kulkarni

According to our database, Apurva Kulkarni authored at least 10 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

SDG Aligned Data Warehouse Implementation over Open Government Data.

Apurva Kulkarni, Srinath Srinivasa, Sanket Patil

Proceedings of the Electronic Government and the Information Systems Perspective, 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

TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics.

Chandrashekar Ramanathan, Apurva Kulkarni

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

CDEF: Conceptual Data Extraction Framework for Heterogeneous Data.

Apurva Kulkarni, Chandrashekar Ramanathan

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

HS-PARAM: Hive-Spark Parameterization Framework to Optimize Ingestion and Storage of Heterogeneous Data.

Apurva Kulkarni, Chandrashekar Ramanathan

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 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

2013

Domain driven approach for coherent rule mining.

Arti Deshpande, Anjali Mahajan, Apurva Kulkarni, Sayali Sakhalkar

Proceedings of the International Conference on Advances in Computing, 2013