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ORCIDKavitha Srinivas
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- affiliation: IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY, USA
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2020 – today
- 2024
[c62]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI 2024: 20256-20264- [c61]James T. Oswald
, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi:
Large Language Models as Planning Domain Generators (Student Abstract). AAAI 2024: 23604-23605 - [c60]James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi:
Large Language Models as Planning Domain Generators. ICAPS 2024: 423-431 - [c59]Vasilis Efthymiou, Sainyam Galhotra, Oktie Hassanzadeh, Chuan Lei, Kavitha Srinivas:
2nd International Workshop on Tabular Data Analysis (TaDA). VLDB Workshops 2024 - [i22]Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi:
Planning with Language Models Through The Lens of Efficiency. CoRR abs/2404.11833 (2024) - [i21]James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi:
Large Language Models as Planning Domain Generators. CoRR abs/2405.06650 (2024) - [i20]Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas:
Out of style: Misadventures with LLMs and code style transfer. CoRR abs/2406.10320 (2024) - [i19]Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas:
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR abs/2407.01619 (2024) - [i18]Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi:
Automating Thought of Search: A Journey Towards Soundness and Completeness. CoRR abs/2408.11326 (2024) - 2023
- [j7]Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 738-751 (2023) - [j6]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16(12): 4090-4093 (2023) - [c58]Chih-Kai Ting, Karl Munson, Serenity Wade, Anish Savla, Kiran Kate, Kavitha Srinivas:
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks. AAAI 2023: 16485-16487 - [c57]Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
NumJoin: Discovering Numeric Joinable Tables with Semantically Related Columns. CIKM 2023: 5096-5100 - [c56]Pranav Subramaniam, Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
Related Table Search for Numeric data using Large Language Models and Enterprise Knowledge Graphs. EKG-LLM@CIKM 2023 - [c55]Harsha Kokel, Junkyu Lee, Michael Katz, Kavitha Srinivas, Shirin Sohrabi:
Action Space Reduction for Planning Domains. IJCAI 2023: 5394-5401 - [c54]Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas:
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI 2023: 7106-7109 - [c53]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:
Results of SemTab 2023. SemTab@ISWC 2023: 1-14 - [c52]Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Kavitha Srinivas:
Preface TaDA. VLDB Workshops 2023 - [e11]Vasilis Efthymiou, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos:
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. CEUR Workshop Proceedings 3320, CEUR-WS.org 2023 [contents] - [e10]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:
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. CEUR Workshop Proceedings 3557, CEUR-WS.org 2023 [contents] - [e9]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:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - [i17]Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour:
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. CoRR abs/2301.05108 (2023) - [i16]Udayan Khurana, Kavitha Srinivas, Sainyam Galhotra, Horst Samulowitz:
A Vision for Semantically Enriched Data Science. CoRR abs/2303.01378 (2023) - [i15]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR abs/2305.11014 (2023) - [i14]Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz:
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR abs/2307.04217 (2023) - [i13]Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener:
A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction. CoRR abs/2308.03891 (2023) - [i12]Anik Saha, Oktie Hassanzadeh, Alex Gittens, Jian Ni, Kavitha Srinivas, Bülent Yener:
Improving Neural Ranking Models with Traditional IR Methods. CoRR abs/2308.15027 (2023) - 2022
- [j5]Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. Proc. VLDB Endow. 15(11): 2428-2436 (2022) - [c51]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. AAAI 2022: 4415-4423 - [c50]Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas:
How to Reduce Action Space for Planning Domains? (Student Abstract). AAAI 2022: 12989-12990 - [c49]Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini:
Semantic Feature Discovery with Code Mining and Semantic Type Detection. AAAI 2022: 13224-13226 - [c48]Anik Saha, Alex Gittens, Jian Ni, Oktie Hassanzadeh, Bülent Yener, Kavitha Srinivas:
SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models. CASE@EMNLP 2022: 133-137 - [c47]Oktie Hassanzadeh, Parul Awasthy, Ken Barker, Onkar Bhardwaj, Debarun Bhattacharjya, Mark Feblowitz, Lee Martie, Jian Ni, Kavitha Srinivas, Lucy Yip:
Knowledge-Based News Event Analysis and Forecasting Toolkit. IJCAI 2022: 5904-5907 - [c46]Nora Abdelmageed, Jiaoyan Chen, Vincenzo Cutrona, Vasilis Efthymiou, Oktie Hassanzadeh, Madelon Hulsebos, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas:
Results of SemTab 2022. SemTab@ISWC 2022: 1-13 - [c45]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:
Knowledge-Based News Event Analysis Toolkit. ISWC (Posters/Demos/Industry) 2022 - [c44]Aamod Khatiwada, Sola Shirai, Kavitha Srinivas, Oktie Hassanzadeh:
Knowledge Graph Embeddings for Causal Relation Prediction. DL4KG@ISWC 2022 - [e8]Ernesto Jiménez-Ruiz, Vasilis Efthymiou, Jiaoyan Chen, Vincenzo Cutrona, Oktie Hassanzadeh, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita:
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. CEUR Workshop Proceedings 3103, CEUR-WS.org 2022 [contents] - [i11]Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
Large Scale Generation of Labeled Type Data for Python. CoRR abs/2201.12242 (2022) - [i10]Udayan Khurana, Kavitha Srinivas, Horst Samulowitz:
A Survey on Semantics in Automated Data Science. CoRR abs/2205.08018 (2022) - [i9]Karl Munson, Anish Savla, Chih-Kai Ting, Serenity Wade, Kiran Kate, Kavitha Srinivas:
Exploring Code Style Transfer with Neural Networks. CoRR abs/2209.06273 (2022) - 2021
- [j4]Essam Mansour, Kavitha Srinivas, Katja Hose:
Federated Data Science to Break Down Silos [Vision]. SIGMOD Rec. 50(4): 16-22 (2021) - [c43]Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI 2021: 6279-6287 - [c42]Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi:
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract). AAAI 2021: 15759-15760 - [c41]Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea:
IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution. AAAI 2021: 16032-16034 - [c40]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
A Toolkit for Generating Code Knowledge Graphs. K-CAP 2021: 137-144 - [c39]Vincenzo Cutrona, Jiaoyan Chen, Vasilis Efthymiou, Oktie Hassanzadeh, Ernesto Jiménez-Ruiz, Juan Sequeda, Kavitha Srinivas, Nora Abdelmageed, Madelon Hulsebos, Daniela Oliveira, Catia Pesquita:
Results of SemTab 2021. SemTab@ISWC 2021: 1-12 - [i8]Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. CoRR abs/2106.03906 (2021) - [i7]Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. CoRR abs/2109.07452 (2021) - [i6]Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas:
A Scalable AutoML Approach Based on Graph Neural Networks. CoRR abs/2111.00083 (2021) - [i5]Essam Mansour, Kavitha Srinivas, Katja Hose:
Federated Data Science to Break Down Silos [Vision]. CoRR abs/2111.13186 (2021) - 2020
- [c38]Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz:
Causal Knowledge Extraction through Large-Scale Text Mining. AAAI 2020: 13610-13611 - [c37]Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas:
SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems. ESWC 2020: 514-530 - [c36]Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona:
Results of SemTab 2020. SemTab@ISWC 2020: 1-8 - [c35]Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker:
A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code. ISWC (Demos/Industry) 2020: 266-271 - [e7]Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Kavitha Srinivas, Vasilis Efthymiou, Jiaoyan Chen:
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. CEUR Workshop Proceedings 2553, CEUR-WS.org 2020 [contents] - [e6]Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, Kavitha Srinivas, Vincenzo Cutrona:
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. CEUR Workshop Proceedings 2775, CEUR-WS.org 2020 [contents] - [i4]Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker:
Graph4Code: A Machine Interpretable Knowledge Graph for Code. CoRR abs/2002.09440 (2020)
2010 – 2019
- 2019
- [c34]Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi:
Automated Feature Enhancement for Predictive Modeling using External Knowledge. ICDM Workshops 2019: 1094-1097 - [c33]Oktie Hassanzadeh, Debarun Bhattacharjya, Mark Feblowitz, Kavitha Srinivas, Michael Perrone, Shirin Sohrabi, Michael Katz:
Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. IJCAI 2019: 5003-5009 - [i3]Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR abs/1911.02065 (2019) - 2018
- [c32]Marieke van Erp, Medha Atre, Vanessa López, Kavitha Srinivas, Carolina Fortuna:
Preface. ISWC (P&D/Industry/BlueSky) 2018 - [e5]Marieke van Erp, Medha Atre, Vanessa López, Kavitha Srinivas, Carolina Fortuna:
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. CEUR Workshop Proceedings 2180, CEUR-WS.org 2018 [contents] - [i2]Kavitha Srinivas, Abraham Gale, Julian Dolby:
Merging datasets through deep learning. CoRR abs/1809.01604 (2018) - 2017
- [p2]Boris Villazón-Terrazas, Nuria García-Santa, Yuan Ren, Kavitha Srinivas, Mariano Rodriguez-Muro, Panos Alexopoulos, Jeff Z. Pan:
Construction of Enterprise Knowledge Graphs (I). Exploiting Linked Data and Knowledge Graphs in Large Organisations 2017: 87-116 - 2016
- [c31]Mohammad Sadoghi, Kavitha Srinivas, Oktie Hassanzadeh, Yuan-Chi Chang, Mustafa Canim, Achille Fokoue, Yishai A. Feldman:
Self-Curating Databases. EDBT 2016: 467-472 - [c30]Julian Dolby, Achille Fokoue, Mariano Rodriguez-Muro, Kavitha Srinivas, Wen Sun:
Extending SPARQL for Data Analytic Tasks. ISWC (2) 2016: 437-452 - [c29]Mihaela A. Bornea, Julian Dolby, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Mandana Vaziri:
An Executable Specification for SPARQL. WISE (2) 2016: 298-305 - 2015
- [c28]Oktie Hassanzadeh, Michael Jeffrey Ward, Mariano Rodriguez-Muro, Kavitha Srinivas:
Understanding a large corpus of web tables through matching with knowledge bases: an empirical study. OM 2015: 25-34 - [c27]Wen Sun, Achille Fokoue, Kavitha Srinivas, Anastasios Kementsietsidis, Gang Hu, Guo Tong Xie:
SQLGraph: An Efficient Relational-Based Property Graph Store. SIGMOD Conference 2015: 1887-1901 - [e4]Marcelo Arenas, Óscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab:
The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9366, Springer 2015, ISBN 978-3-319-25006-9 [contents] - [e3]Marcelo Arenas, Óscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab:
The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9367, Springer 2015, ISBN 978-3-319-25009-0 [contents] - 2014
- [j3]Marcelo Arenas, Gonzalo I. Diaz, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas:
A Principled Approach to Bridging the Gap between Graph Data and their Schemas. Proc. VLDB Endow. 7(8): 601-612 (2014) - [j2]Jason B. Ellis, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward:
Exploring Big Data with Helix: Finding Needles in a Big Haystack. SIGMOD Rec. 43(4): 43-54 (2014) - [c26]Achille Fokoue, Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas:
An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners. WISE (1) 2014: 480-495 - 2013
- [c25]Weijia Shen, Guotong Xie, Kavitha Srinivas, Anastasios Kementsietsidis, Jason B. Ellis, Thomas Erickson, Kevin McAuliffe, Gang Hu, Wen Sun:
Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization. CSWS 2013: 90-97 - [c24]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:
Coordinating Social Care and Healthcare using Semantic Web Technologies. ISWC (Posters & Demos) 2013: 169-172 - [c23]Jason B. Ellis, Oktie Hassanzadeh, Kavitha Srinivas, Michael Jeffrey Ward:
Collective ontology alignment. OM 2013: 219-220 - [c22]Mihaela A. Bornea, Julian Dolby, Anastasios Kementsietsidis, Kavitha Srinivas, Patrick Dantressangle, Octavian Udrea, Bishwaranjan Bhattacharjee:
Building an efficient RDF store over a relational database. SIGMOD Conference 2013: 121-132 - [e2]Mariano Rodriguez-Muro, Simon Jupp, Kavitha Srinivas:
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. CEUR Workshop Proceedings 1080, CEUR-WS.org 2013 [contents] - [e1]Pavel Shvaiko, Jérôme Euzenat, Kavitha Srinivas, Ming Mao, Ernesto Jiménez-Ruiz:
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. CEUR Workshop Proceedings 1111, CEUR-WS.org 2013 [contents] - [i1]Marcelo Arenas, Gonzalo I. Diaz, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas:
A Principled Approach to Bridging the Gap between Graph Data and their Schemas. CoRR abs/1308.5703 (2013) - 2012
- [c21]Songyun Duan, Achille Fokoue, Oktie Hassanzadeh, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward:
Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing. ISWC (1) 2012: 49-64 - 2011
- [c20]Songyun Duan, Achille Fokoue, Kavitha Srinivas, Brian Byrne:
A Clustering-Based Approach to Ontology Alignment. ISWC (1) 2011: 146-161 - [c19]Songyun Duan, Anastasios Kementsietsidis, Kavitha Srinivas, Octavian Udrea:
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets. SIGMOD Conference 2011: 145-156 - [c18]Oktie Hassanzadeh, Songyun Duan, Achille Fokoue, Anastasios Kementsietsidis, Kavitha Srinivas, Michael Jeffrey Ward:
Helix: online enterprise data analytics. WWW (Companion Volume) 2011: 225-228 - 2010
- [c17]Songyun Duan, Achille Fokoue, Kavitha Srinivas:
One Size Does Not Fit All: Customizing Ontology Alignment Using User Feedback. ISWC (1) 2010: 177-192
2000 – 2009
- 2009
- [j1]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas:
Scalable highly expressive reasoner (SHER). J. Web Semant. 7(4): 357-361 (2009) - [c16]Kavitha Srinivas:
OWL Reasoning in the Real World: Searching for Godot. Description Logics 2009 - [c15]Brian Byrne, Achille Fokoue, Aditya Kalyanpur, Kavitha Srinivas, Min Wang:
Scalable Matching of Industry Models - a Case Study. OM 2009 - [c14]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Edith Schonberg, Kavitha Srinivas:
Extracting Enterprise Vocabularies Using Linked Open Data. ISWC 2009: 779-794 - 2008
- [c13]Holger Stenzhorn, Kavitha Srinivas, Matthias Samwald, Alan Ruttenberg:
Simplifying Access to Large-Scale Health Care and Life Sciences Datasets. ESWC 2008: 864-868 - [c12]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Li Ma, Edith Schonberg, Kavitha Srinivas, Xingzhi Sun:
Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases. ISWC 2008: 403-418 - [p1]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:
Ontology Reasoning with Large Data Repositories. Ontology Management 2008: 89-128 - 2007
- [c11]Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas, Li Ma:
Scalable Semantic Retrieval through Summarization and Refinement. AAAI 2007: 299-304 - [c10]Robert Schiaffino, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Chintan Patel, Edith Schonberg, Kavitha Srinivas:
Computing OWL Ontology Decompositions Using Resolution. WoMO 2007 - [c9]Julian Dolby, James Fan, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, J. William Murdock, Kavitha Srinivas, Christopher A. Welty:
Scalable Cleanup of Information Extraction Data Using Ontologies. ISWC/ASWC 2007: 100-113 - [c8]Chintan Patel, James J. Cimino, Julian Dolby, Achille Fokoue, Aditya Kalyanpur, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas:
Matching Patient Records to Clinical Trials Using Ontologies. ISWC/ASWC 2007: 816-829 - [c7]Jean-Sébastien Brunner, Li Ma, Chen Wang, Lei Zhang, Daniel C. Wolfson, Yue Pan, Kavitha Srinivas:
Explorations in the use of semantic web technologies for product information management. WWW 2007: 747-756 - 2006
- [c6]Aaron Kershenbaum, Achille Fokoue, Chintan Patel, Christopher A. Welty, Edith Schonberg, James J. Cimino, Li Ma, Kavitha Srinivas, Robert J. Schloss, J. William Murdock:
A View of OWL From the Field: Use-cases and Experiences. OWLED 2006 - [c5]Achille Fokoue, Aaron Kershenbaum, Li Ma, Edith Schonberg, Kavitha Srinivas:
The Summary Abox: Cutting Ontologies Down to Size. ISWC 2006: 343-356 - 2005
- [c4]Kavitha Srinivas, Harini Srinivasan:
Summarizing application performance from a components perspective. ESEC/SIGSOFT FSE 2005: 136-145 - 2004
- [c3]Harini Srinivasan, Darrell Reimer, Aaron Kershenbaum, Edith Schonberg, Kavitha Srinivas:
Static validation of resource management in large Java applications. ISoLA (Preliminary proceedings) 2004: 250-252 - [c2]Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Bowen Alpern, Robert D. Johnson, Aaron Kershenbaum, Larry Koved:
SABER: smart analysis based error reduction. ISSTA 2004: 243-251 - [c1]Darrell Reimer, Edith Schonberg, Kavitha Srinivas, Harini Srinivasan, Julian Dolby, Aaron Kershenbaum, Larry Koved:
Validating structural properties of nested objects. OOPSLA Companion 2004: 294-304
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