Kavitha Srinivas

119 papers A* 22A 2B 4Misc 3Journal 39Unranked 36
YearRankTypeTitle / Venue / Authors
2026 A* conf
QueryGym: Step-by-Step Interaction with Relational Databases.
AAAI
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2025 J jnl
ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning.
CoRR
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2025 A* conf
ACPBench: Reasoning About Action, Change, and Planning.
AAAI
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2025 A* conf
Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract).
AAAI
Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2025 J jnl
Can AI autonomously build, operate, and use the entire data stack?
CoRR
Arvind Agarwal, Lisa Amini, Sameep Mehta, Horst Samulowitz, Kavitha Srinivas
2025 J jnl
Can Cross Encoders Produce Useful Sentence Embeddings?
CoRR
Haritha Ananthakrishnan, Julian Dolby, Harsha Kokel, Horst Samulowitz, Kavitha Srinivas
2025 J jnl
Evaluating Joinable Column Discovery Approaches for Context-Aware Search.
CoRR
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
2025 J jnl
Language Models Are Good Tabular Learners.
Trans. Mach. Learn. Res.
Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao
2025 J jnl
Less is More: Learning Graph Tasks with Just LLMs.
CoRR
Sola Shirai, Kavitha Srinivas, Julian Dolby, Michael Katz, Horst Samulowitz, Shirin Sohrabi
2025 J jnl
MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time.
CoRR
Peter Phan, Dhruv Agarwal, Kavitha Srinivas, Horst Samulowitz, Pavan Kapanipathi, Andrew McCallum
2025 J jnl
QueryGym: Step-by-Step Interaction with Relational Databases.
CoRR
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2025 J jnl
TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search.
CoRR
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
2025 A* conf
TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes.
ICDE
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2024 — conf
2nd International Workshop on Tabular Data Analysis (TaDA).
VLDB Workshops
Vasilis Efthymiou, Sainyam Galhotra, Oktie Hassanzadeh, Chuan Lei, Kavitha Srinivas
2024 J jnl
ACPBench: Reasoning about Action, Change, and Planning.
CoRR
Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2024 J jnl
Automating Thought of Search: A Journey Towards Soundness and Completeness.
CoRR
Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2024 A* conf
Generalized Planning in PDDL Domains with Pretrained Large Language Models.
AAAI
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
2024 A* conf
Large Language Models as Planning Domain Generators (Student Abstract).
AAAI
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024 A* conf
Large Language Models as Planning Domain Generators.
ICAPS
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024 J jnl
Large Language Models as Planning Domain Generators.
CoRR
James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi
2024 J jnl
Out of style: Misadventures with LLMs and code style transfer.
CoRR
Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas
2024 J jnl
Planning with Language Models Through The Lens of Efficiency.
CoRR
Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2024 J jnl
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes.
CoRR
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
2024 A* conf
Thought of Search: Planning with Language Models Through The Lens of Efficiency.
NeurIPS
Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
2023 J jnl
A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction.
CoRR
Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener
2023 J jnl
A Vision for Semantically Enriched Data Science.
CoRR
Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz
2023 A* conf
Action Space Reduction for Planning Domains.
IJCAI
Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi
2023 A* conf
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks.
AAAI
Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas
2023 J jnl
DataRinse: Semantic Transforms for Data preparation based on Code Mining.
Proc. VLDB Endow.
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
2023 J jnl
Generalized Planning in PDDL Domains with Pretrained Large Language Models.
CoRR
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
2023 J jnl
Improving Neural Ranking Models with Traditional IR Methods.
CoRR
Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener
2023 — ed.
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023.
VLDB Workshops
Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng
2023 J jnl
LakeBench: Benchmarks for Data Discovery over Data Lakes.
CoRR
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
2023 J jnl
Learning to Guide a Saturation-Based Theorem Prover.
IEEE Trans. Pattern Anal. Mach. Intell.
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2023 A conf
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns.
CIKM
Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
2023 — conf
Preface TaDA.
VLDB Workshops
Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Kavitha Srinivas
2023 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2022, co-located with the 21st International Semantic Web Conference, ISWC 2022, Virtual conference, October 23-27, 2022.
SemTab@ISWC
Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos
2023 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2023, co-located with the 22nd International Semantic Web Conference, ISWC 2023, Athens, Greece, November 6-10, 2023.
SemTab@ISWC
Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Aamod Khatiwada, Keti Korini, Benno Kruit
2023 — conf
Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs.
EKG-LLM@CIKM
Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
2023 — conf
Results of SemTab 2023.
SemTab@ISWC
Oktie Hassanzadeh, Nora Abdelmageed, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Aamod Khatiwada, Keti Korini, Benno Kruit, Juan Sequeda, Kavitha Srinivas
2023 A* conf
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code.
IJCAI
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
2023 J jnl
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning.
CoRR
Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour
2022 J jnl
A Scalable AutoML Approach Based on Graph Neural Networks.
Proc. VLDB Endow.
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
2022 J jnl
A Survey on Semantics in Automated Data Science.
CoRR
Udayan Khurana, Kavitha Srinivas, Horst Samulowitz
2022 A* conf
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding.
AAAI
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
2022 J jnl
Exploring Code Style Transfer with Neural Networks.
CoRR
Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas
2022 A* conf
How to Reduce Action Space for Planning Domains? (Student Abstract).
AAAI
Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2022 — conf
Knowledge Graph Embeddings for Causal Relation Prediction.
DL4KG@ISWC
Aamod Khatiwada, Sola Shirai, Kavitha Srinivas, Oktie Hassanzadeh
2022 — conf
Knowledge-Based News Event Analysis Toolkit.
ISWC (Posters/Demos/Industry)
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Aamod Khatiwada, Lee Martie, Steve Fonin Mbouadeu, Jian Ni, Anik Saha, Sola Shirai, Kavitha Srinivas, Lucy Yip
2022 A* conf
Knowledge-Based News Event Analysis and Forecasting Toolkit.
IJCAI
Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip
2022 J jnl
Large Scale Generation of Labeled Type Data for Python.
CoRR
Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
2022 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual conference, October 27, 2021.
SemTab@ISWC
Ernesto Jiménez-Ruiz, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita
2022 — conf
Results of SemTab 2022.
SemTab@ISWC
Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas
2022 — conf
SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models.
CASE@EMNLP
Anik Saha, Alex Gittens, Jian Ni, Oktie Hassanzadeh, Bülent Yener, Kavitha Srinivas
2022 A* conf
Semantic Feature Discovery with Code Mining and Semantic Type Detection.
AAAI
Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini
2021 A* conf
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving.
AAAI
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2021 J jnl
A Scalable AutoML Approach Based on Graph Neural Networks.
CoRR
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
2021 B conf
A Toolkit for Generating Code Knowledge Graphs.
K-CAP
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
2021 J jnl
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding.
CoRR
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
2021 J jnl
Federated Data Science to Break Down Silos [Vision].
CoRR
Essam Mansour, Kavitha Srinivas, Katja Hose
2021 J jnl
Federated Data Science to Break Down Silos [Vision].
SIGMOD Rec.
Essam Mansour, Kavitha Srinivas, Katja Hose
2021 A* conf
IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution.
AAAI
Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea
2021 J jnl
Learning to Guide a Saturation-Based Theorem Prover.
CoRR
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
2021 — conf
Results of SemTab 2021.
SemTab@ISWC
Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita
2021 A* conf
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract).
AAAI
Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi
2020 — conf
A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code.
ISWC (Demos/Industry)
Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker
2020 A* conf
Causal Knowledge Extraction through Large-Scale Text Mining.
AAAI
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
2020 J jnl
Graph4Code: A Machine Interpretable Knowledge Graph for Code.
CoRR
Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker
2020 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), Virtual conference (originally planned to be in Athens, Greece), November 5, 2020.
SemTab@ISWC
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
2020 — ed.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 18th International Semantic Web Conference, SemTab@ISWC 2019, Auckland, New Zealand, October 30, 2019.
SemTab@ISWC
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Kavitha Srinivas, Vasilis Efthymiou, Jiaoyan Chen
2020 — conf
Results of SemTab 2020.
SemTab@ISWC
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona
2020 B conf
SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems.
ESWC
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas
2019 J jnl
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.
CoRR
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
2019 A* conf
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts.
IJCAI
Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz
2019 — conf
Automated Feature Enhancement for Predictive Modeling using External Knowledge.
ICDM Workshops
Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi
2018 J jnl
Merging datasets through deep learning.
CoRR
Kavitha Srinivas, Abraham Gale, Julian Dolby
2018 — conf
Preface.
ISWC (P&D/Industry/BlueSky)
Marieke van Erp, Medha Atre, Vanessa López, Kavitha Srinivas, Carolina Fortuna
2018 — ed.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th, 2018.
ISWC (P&D/Industry/BlueSky)
Marieke van Erp, Medha Atre, Vanessa López, Kavitha Srinivas, Carolina Fortuna
2017 — ch.
Construction of Enterprise Knowledge Graphs (I).
Exploiting Linked Data and Knowledge Graphs in Large Organisations
Boris Villazón-Terrazas, Nuria García-Santa, Yuan Ren, Kavitha Srinivas, Mariano Rodriguez-Muro, Panos Alexopoulos, Jeff Z. Pan
2016 — conf
An Executable Specification for SPARQL.
WISE (2)
Mihaela A. Bornea, Julian Dolby, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Mandana Vaziri
2016 — conf
Extending SPARQL for Data Analytic Tasks.
ISWC (2)
Julian Dolby, Achille Fokoue, Mariano Rodriguez-Muro, Kavitha Srinivas, Wen Sun
2016 B conf
Self-Curating Databases.
EDBT
Mohammad Sadoghi, Kavitha Srinivas, Oktie Hassanzadeh, Yuan-Chi Chang, Mustafa Canim, Achille Fokoue, Yishai A. Feldman
2015 — conf
SQLGraph: An Efficient Relational-Based Property Graph Store.
SIGMOD Conference
Wen Sun, Achille Fokoue, Kavitha Srinivas, Anastasios Kementsietsidis, Gang Hu, Guo Tong Xie
2015 — ed.
The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I
ISWC (1)
Marcelo Arenas, Óscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab
2015 — ed.
The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part II
ISWC (2)
Marcelo Arenas, Óscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab
2015 — conf
Understanding a large corpus of web tables through matching with knowledge bases: an empirical study.
OM
Oktie Hassanzadeh, Michael Jeffrey Ward, Mariano Rodriguez-Muro, Kavitha Srinivas
2014 J jnl
A Principled Approach to Bridging the Gap between Graph Data and their Schemas.
Proc. VLDB Endow.
Marcelo Arenas, Gonzalo I. Diaz, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas
2014 — conf
An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners.
WISE (1)
Achille Fokoue, Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas
2014 J jnl
Exploring Big Data with Helix: Finding Needles in a Big Haystack.
SIGMOD Rec.
Jason B. Ellis, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward
2013 J jnl
A Principled Approach to Bridging the Gap between Graph Data and their Schemas.
CoRR
Marcelo Arenas, Gonzalo I. Diaz, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas
2013 — conf
Building an efficient RDF store over a relational database.
SIGMOD Conference
Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas, Patrick Dantressangle, Octavian Udrea, Bishwaranjan Bhattacharjee
2013 — conf
Collective ontology alignment.
OM
Jason B. Ellis, Oktie Hassanzadeh, Kavitha Srinivas, Michael Jeffrey Ward
2013 — conf
Coordinating Social Care and Healthcare using Semantic Web Technologies.
ISWC (Posters & Demos)
Spyros Kotoulas, Vanessa López, Martin Stephenson, Pierpaolo Tommasi, Weijia Shen, Gang Hu, Marco Luca Sbodio, Veli Bicer, Anastasios Kementsietsidis, M. Mustafa Rafique, Jason B. Ellis, Thomas Erickson, Kavitha Srinivas, Kevin McAuliffe, Guo Tong Xie, Pol Mac Aonghusa
2013 — ed.
Proceedings of the 10th International Workshop on OWL: Experiences and Directions (OWLED 2013) co-located with 10th Extended Semantic Web Conference (ESWC 2013), Montpellier, France, May 26-27, 2013.
OWLED
Mariano Rodriguez-Muro, Simon Jupp, Kavitha Srinivas
2013 — ed.
Proceedings of the 8th International Workshop on Ontology Matching co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 21, 2013.
OM
Pavel Shvaiko, Jérôme Euzenat, Kavitha Srinivas, Ming Mao, Ernesto Jiménez-Ruiz
2013 — conf
Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization.
CSWS
Weijia Shen, Guotong Xie, Kavitha Srinivas, Anastasios Kementsietsidis, Jason B. Ellis, Thomas Erickson, Kevin McAuliffe, Gang Hu, Wen Sun
2012 — conf
Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing.
ISWC (1)
Songyun Duan, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward
2011 — conf
A Clustering-Based Approach to Ontology Alignment.
ISWC (1)
Songyun Duan, Achille Fokoue, Kavitha Srinivas, Brian Byrne
2011 — conf
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets.
SIGMOD Conference
Songyun Duan, Anastasios Kementsietsidis, Kavitha Srinivas, Octavian Udrea
2011 — conf
Helix: online enterprise data analytics.
WWW (Companion Volume)
Oktie Hassanzadeh, Songyun Duan, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward
2010 — conf
One Size Does Not Fit All: Customizing Ontology Alignment Using User Feedback.
ISWC (1)
Songyun Duan, Achille Fokoue, Kavitha Srinivas
2009 Misc conf
Extracting Enterprise Vocabularies Using Linked Open Data.
ISWC
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas
2009 — conf
OWL Reasoning in the Real World: Searching for Godot.
Description Logics
Kavitha Srinivas
2009 — conf
Scalable Matching of Industry Models - a Case Study.
OM
Brian Byrne, Achille Fokoue, Aditya Kalyanpur, Kavitha Srinivas, Min Wang
2009 J jnl
Scalable highly expressive reasoner (SHER).
J. Web Semant.
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas
2008 — ch.
Ontology Reasoning with Large Data Repositories.
Ontology Management
Stijn Heymans, Li Ma, Darko Anicic, Zhilei Ma, Nathalie Steinmetz, Yue Pan, Jing Mei, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Cristina Feier, Graham Hench, Branimir Wetzstein, Uwe Keller
2008 Misc conf
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases.
ISWC
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Li Ma, Edith Schonberg, Kavitha Srinivas, Xingzhi Sun
2008 B conf
Simplifying Access to Large-Scale Health Care and Life Sciences Datasets.
ESWC
Holger Stenzhorn, Kavitha Srinivas, Matthias Samwald, Alan Ruttenberg
2007 — conf
Computing OWL Ontology Decompositions Using Resolution.
WoMO
Robert Schiaffino, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Chintan Patel, Edith Schonberg, Kavitha Srinivas
2007 A* conf
Explorations in the use of semantic web technologies for product information management.
WWW
Jean-Sébastien Brunner, Li Ma, Chen Wang, Lei Zhang, Daniel C. Wolfson, Yue Pan, Kavitha Srinivas
2007 — conf
Matching Patient Records to Clinical Trials Using Ontologies.
ISWC/ASWC
Chintan Patel, James J. Cimino, Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas
2007 — conf
Scalable Cleanup of Information Extraction Data Using Ontologies.
ISWC/ASWC
Julian Dolby, James Fan, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, J. William Murdock, Kavitha Srinivas, Christopher A. Welty
2007 A* conf
Scalable Semantic Retrieval through Summarization and Refinement.
AAAI
Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Li Ma
2006 — conf
A View of OWL From the Field: Use-cases and Experiences.
OWLED
Aaron Kershenbaum, Achille Fokoue, Chintan Patel, Christopher A. Welty, Edith Schonberg, James J. Cimino, Li Ma, Kavitha Srinivas, Robert J. Schloss, J. William Murdock
2006 Misc conf
The Summary Abox: Cutting Ontologies Down to Size.
ISWC
Achille Fokoue, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas
2005 — conf
Summarizing application performance from a components perspective.
ESEC/SIGSOFT FSE
Kavitha Srinivas, Harini Srinivasan
2004 A conf
SABER: smart analysis based error reduction.
ISSTA
Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Bowen Alpern, Robert D. Johnson, Aaron Kershenbaum, Larry Koved
2004 — conf
Static validation of resource management in large Java applications.
ISoLA (Preliminary proceedings)
Harini Srinivasan, Darrell Reimer, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas
2004 — conf
Validating structural properties of nested objects.
OOPSLA Companion
Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Julian Dolby, Aaron Kershenbaum, Larry Koved