Business Users and Program Variability: Bridging the Gap. - Isabelle Rouvellou; Lou Degenaro; Judah Diament; Achille Fokoue; Sam Weber 001 (ICSR, 2004)

Extracting Input/Output dependencies from XSLT 2.0 and XQuery 1.0. - Achille Fokoue (Extreme Markup Languages®, 2005)

Compiling XSLT 2.0 into XQuery 1.0. - Achille Fokoue; Kristoffer Høgsbro Rose; Jérôme Siméon; Lionel Villard (WWW, 2005)

Fusion: A System For Business Users To Manage Program Variability. - Sam Weber 001; Hoi Y. Chan; Lou Degenaro; Judah Diament; Achille Fokoue-Nkoutche; Isabelle Rouvellou (IEEE Trans. Software Eng., 2005)

SHIN ABox Reduction. - Achille Fokoue; Aaron Kershenbaum; Li Ma 002 (Description Logics, 2006)

A View of OWL From the Field: Use-cases and Experiences. - Aaron Kershenbaum; Achille Fokoue; Chintan Patel; Christopher A. Welty; Edith Schonberg; James J. Cimino; Li Ma 002; Kavitha Srinivas; Robert J. Schloss; J. William Murdock (OWLED, 2006)

The Summary Abox: Cutting Ontologies Down to Size. - Achille Fokoue; Aaron Kershenbaum; Li Ma 002; Edith Schonberg; Kavitha Srinivas (ISWC, 2006)

Scalable Semantic Retrieval through Summarization and Refinement. - Julian Dolby; Achille Fokoue; Aditya Kalyanpur; Aaron Kershenbaum; Edith Schonberg; Kavitha Srinivas; Li Ma 002 (AAAI, 2007)

Computing OWL Ontology Decompositions Using Resolution. - Robert Schiaffino; Achille Fokoue; Aditya Kalyanpur; Aaron Kershenbaum; Li Ma 002; Chintan Patel; Edith Schonberg; Kavitha Srinivas (WoMO, 2007)

SSWS 2007 PC Co-chairs' Message. - Achille Fokoue; Yuanbo Guo; Thorsten Liebig; Bijan Parsia (OTM Workshops (2), 2007)

Scalable Cleanup of Information Extraction Data Using Ontologies. - Julian Dolby; James Fan; Achille Fokoue; Aditya Kalyanpur; Aaron Kershenbaum; Li Ma 002; J. William Murdock; Kavitha Srinivas; Christopher A. Welty (ISWC/ASWC, 2007)

Matching Patient Records to Clinical Trials Using Ontologies. - Chintan Patel; James J. Cimino; Julian Dolby; Achille Fokoue; Aditya Kalyanpur; Aaron Kershenbaum; Li Ma 002; Edith Schonberg; Kavitha Srinivas (ISWC/ASWC, 2007)

Scalable Grounded Conjunctive Query Evaluation over Large and Expressive Knowledge Bases. - Julian Dolby; Achille Fokoue; Aditya Kalyanpur; Li Ma 002; Edith Schonberg; Kavitha Srinivas; Xingzhi Sun 001 (ISWC, 2008)

Ontology Reasoning with Large Data Repositories. - Stijn Heymans; Li Ma 002; Darko Anicic; Zhilei Ma; Nathalie Steinmetz; Yue Pan; Jing Mei; Achille Fokoue; Aditya Kalyanpur; Aaron Kershenbaum; Edith Schonberg; Kavitha Srinivas; et al. (Ontology Management, 2008)

A decision support system for secure information sharing. - Achille Fokoue; Mudhakar Srivatsa; Pankaj Rohatgi; Peter Wrobel; John Yesberg (SACMAT, 2009)

Scalable Matching of Industry Models - a Case Study. - Brian Byrne; Achille Fokoue; Aditya Kalyanpur; Kavitha Srinivas; Min Wang (OM, 2009)

Extracting Enterprise Vocabularies Using Linked Open Data. - Julian Dolby; Achille Fokoue; Aditya Kalyanpur; Edith Schonberg; Kavitha Srinivas (ISWC, 2009)

A Practical Approach for Scalable Conjunctive Query Answering on Acyclic EL+ mathcal{EL}^+ Knowledge Base. - Jing Mei; Shengping Liu; Guo Tong Xie; Aditya Kalyanpur; Achille Fokoue; Yuan Ni; Hanyu Li; Yue Pan (ISWC, 2009)

Scalable highly expressive reasoner (SHER). - Julian Dolby; Achille Fokoue; Aditya Kalyanpur; Edith Schonberg; Kavitha Srinivas (J. Web Semant., 2009)

Assessing trust in uncertain information using Bayesian description logic. - Achille Fokoue; Mudhakar Srivatsa; Robert Young (CCS, 2010)

One Size Does Not Fit All: Customizing Ontology Alignment Using User Feedback. - Songyun Duan; Achille Fokoue; Kavitha Srinivas (ISWC (1), 2010)

Assessing Trust in Uncertain Information. - Achille Fokoue; Mudhakar Srivatsa; Robert Young (ISWC (1), 2010)

A Clustering-Based Approach to Ontology Alignment. - Songyun Duan; Achille Fokoue; Kavitha Srinivas; Brian Byrne (ISWC (1), 2011)

Trust-Based Probabilistic Query Answering. - Achille Fokoue; Mudhakar Srivatsa; Robert Young (WISE, 2011)

Helix: online enterprise data analytics. - Oktie Hassanzadeh; Songyun Duan; Achille Fokoue; Anastasios Kementsietsidis; Kavitha Srinivas; Michael Jeffrey Ward (WWW (Companion Volume), 2011)

Querying Linked Ontological Data through Distributed Summarization. - Achille Fokoue; Felipe Meneguzzi; Murat Sensoy; Jeff Z. Pan (AAAI, 2012)

Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing. - Songyun Duan; Achille Fokoue; Oktie Hassanzadeh; Anastasios Kementsietsidis; Kavitha Srinivas; Michael Jeffrey Ward (ISWC (1), 2012)

Using Subjective Logic to Handle Uncertainty and Conflicts. - Murat Sensoy; Jeff Z. Pan; Achille Fokoue; Mudhakar Srivatsa; Felipe Meneguzzi (TrustCom, 2012)

Structured data and inference in DeepQA. - Aditya Kalyanpur; Branimir Boguraev; Siddharth Patwardhan; J. William Murdock; Adam Lally; Chris Welty; John M. Prager; Bonaventura Coppola; Achille Fokoue-Nkoutche; Lei Zhang 007; Yue Pan; Zhaoming Qiu (IBM J. Res. Dev., 2012)

Reasoning about uncertain information and conflict resolution through trust revision. - Murat Sensoy; Achille Fokoue; Jeff Z. Pan; Timothy J. Norman; Yuqing Tang 001; Nir Oren; Katia P. Sycara (AAMAS, 2013)

An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners. - Achille Fokoue; Mihaela A. Bornea; Julian Dolby; Anastasios Kementsietsidis; Kavitha Srinivas (WISE (1), 2014)

A Principled Approach to Bridging the Gap between Graph Data and their Schemas. - Marcelo Arenas; Gonzalo I. Diaz; Achille Fokoue; Anastasios Kementsietsidis; Kavitha Srinivas (Proc. VLDB Endow., 2014)

Exploring Big Data with Helix: Finding Needles in a Big Haystack. - Jason B. Ellis; Achille Fokoue; Oktie Hassanzadeh; Anastasios Kementsietsidis; Kavitha Srinivas; Michael Jeffrey Ward (SIGMOD Rec., 2014)

Handling uncertainty: An extension of DL-Lite with Subjective Logic. - Jhonatan Garcia; Jeff Z. Pan; Achille Fokoue (Description Logics, 2015)

SQLGraph: An Efficient Relational-Based Property Graph Store. - Wen Sun; Achille Fokoue; Kavitha Srinivas; Anastasios Kementsietsidis; Gang Hu 001; Guo Tong Xie (SIGMOD Conference, 2015)

Tiresias: Knowledge Engineering and Large-Scale Machine Learning for Interpretable Drug-Drug Interaction Prediction. - Achille Fokoue; Oktie Hassanzadeh; Mohammad Sadoghi; Ping Zhang 016 (AMIA, 2016)

Towards Large-Scale Predictive Drug Safety: A Computational Framework for Inferring Drug Interactions Through Similarity-Based Link Prediction. - Achille Fokoue; Ping Zhang 016; Oktie Hassanzadeh; Mohammad Sadoghi (AMIA, 2016)

Self-Curating Databases. - Mohammad Sadoghi; Kavitha Srinivas; Oktie Hassanzadeh; Yuan-Chi Chang; Mustafa Canim; Achille Fokoue; Yishai A. Feldman (EDBT, 2016)

Predicting Drug-Drug Interactions Through Large-Scale Similarity-Based Link Prediction. - Achille Fokoue; Mohammad Sadoghi; Oktie Hassanzadeh; Ping Zhang 016 (ESWC, 2016)

Extending SPARQL for Data Analytic Tasks. - Julian Dolby; Achille Fokoue; Mariano Rodriguez-Muro; Kavitha Srinivas; Wen Sun (ISWC (2), 2016)

An Executable Specification for SPARQL. - Mihaela A. Bornea; Julian Dolby; Achille Fokoue; Anastasios Kementsietsidis; Kavitha Srinivas; Mandana Vaziri (WISE (2), 2016)

Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data. - Achille Fokoue; Oktie Hassanzadeh; Mohammad Sadoghi; Ping Zhang 016 (WWW (Companion Volume), 2016)

A knowledge and reasoning toolkit for cognitive applications. - Mustafa Canim; Cristina Cornelio; Robert Farrell; Achille Fokoue; Kyle Yingkai Gao; John A. Gunnels; Arun Iyengar; Ryan Musa; Mariano Rodriguez-Muro; Rosario Uceda-Sosa (HotWeb, 2017)

An effective algorithm for hyperparameter optimization of neural networks. - Gonzalo I. Diaz; Achille Fokoue-Nkoutche; Giacomo Nannicini; Horst Samulowitz (IBM J. Res. Dev., 2017)

Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. - Ibrahim Abdelaziz; Achille Fokoue; Oktie Hassanzadeh; Ping Zhang 016; Mohammad Sadoghi (J. Web Semant., 2017)

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. - Michael Boratko; Harshit Padigela; Divyendra Mikkilineni; Pritish Yuvraj; Rajarshi Das; Andrew McCallum; Maria Chang 001; Achille Fokoue-Nkoutche; Pavan Kapanipathi; Nicholas Mattei; Ryan Musa; Kartik Talamadupula; et al. (QA@ACL, 2018)

An Interpretable End-to-End Framework for Drug-Target Interaction Prediction Through Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Sanjoy Dey; Arun Iyengar; Ping Zhang 016 (AMIA, 2018)

EmbedS: Scalable, Ontology-aware Graph Embeddings. - Gonzalo I. Diaz; Achille Fokoue; Mohammad Sadoghi (EDBT, 2018)

An Interface for Annotating Science Questions. - Michael Boratko; Harshit Padigela; Divyendra Mikkilineni; Pritish Yuvraj; Rajarshi Das; Andrew McCallum; Maria Chang 001; Achille Fokoue; Pavan Kapanipathi; Nicholas Mattei; Ryan Musa; Kartik Talamadupula; et al. (EMNLP (Demonstration), 2018)

Interpretable Drug Target Prediction Using Deep Neural Representation. - Kyle Yingkai Gao; Achille Fokoue; Heng Luo 002; Arun Iyengar; Sanjoy Dey; Ping Zhang 016 (IJCAI, 2018)

Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. - Hima P. Karanam; Sumit Neelam; Udit Sharma; Sumit Bhatia; Srikanta Bedathur; L. Venkata Subramaniam; Maria Chang 001; Achille Fokoue-Nkoutche; Spyros Kotoulas; Bassem Makni; Mariano Rodriguez-Muro; Ryan Musa; et al. (ISWC (P&D/Industry/BlueSky), 2018)

Predicting adverse drug reactions through interpretable deep learning framework. - Sanjoy Dey; Heng Luo 002; Achille Fokoue; Jianying Hu; Ping Zhang 016 (BMC Bioinform., 2018)

Answering Science Exam Questions Using Query Rewriting with Background Knowledge. - Ryan Musa; Xiaoyan Wang; Achille Fokoue; Nicholas Mattei; Maria Chang 001; Pavan Kapanipathi; Bassem Makni; Kartik Talamadupula; Michael Witbrock (CoRR, 2018)

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. - Xiaoyan Wang; Pavan Kapanipathi; Ryan Musa; Mo Yu; Kartik Talamadupula; Ibrahim Abdelaziz; Maria Chang 001; Achille Fokoue; Bassem Makni; Nicholas Mattei; Michael Witbrock (AAAI, 2019)

Answering Science Exam Questions Using Query Reformulation with Background Knowledge. - Ryan Musa; Xiaoyan Wang; Achille Fokoue; Nicholas Mattei; Maria Chang 001; Pavan Kapanipathi; Bassem Makni; Kartik Talamadupula; Michael Witbrock (AKBC, 2019)

Links with Answers: Query Answering for Customer Support. - Veronika Thost; Achille Fokoue; Vittorio Castelli; Salim Roukos (ISWC (Satellites), 2019)

High-Fidelity Vector Space Models of Structured Data. - Maxwell Crouse; Achille Fokoue; Maria Chang 001; Pavan Kapanipathi; Ryan Musa; Constantine Nakos; Lingfei Wu 001; Kenneth D. Forbus; Michael Witbrock (CoRR, 2019)

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. - Maxwell Crouse; Spencer Whitehead; Ibrahim Abdelaziz; Bassem Makni; Cristina Cornelio; Pavan Kapanipathi; Edwin Pell; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (CoRR, 2019)

Heuristics for Interpretable Knowledge Graph Contextualization. - Kshitij P. Fadnis; Kartik Talamadupula; Pavan Kapanipathi; Haque Ishfaq; Salim Roukos; Achille Fokoue (CoRR, 2019)

Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling. - Maxwell Crouse; Ibrahim Abdelaziz; Cristina Cornelio; Veronika Thost; Lingfei Wu 001; Kenneth D. Forbus; Achille Fokoue (CoRR, 2019)

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. - Pavan Kapanipathi; Veronika Thost; Siva Sankalp Patel; Spencer Whitehead; Ibrahim Abdelaziz; Avinash Balakrishnan; Maria Chang 001; Kshitij Fadnis; R. Chulaka Gunasekara; Bassem Makni; Nicholas Mattei; Kartik Talamadupula; et al. (AAAI, 2020)

An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic. - Ibrahim Abdelaziz; Veronika Thost; Maxwell Crouse; Achille Fokoue (CoRR, 2020)

Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (CoRR, 2020)

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. - Maxwell Crouse; Ibrahim Abdelaziz; Bassem Makni; Spencer Whitehead; Cristina Cornelio; Pavan Kapanipathi; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (AAAI, 2021)

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. - Pavan Kapanipathi; Ibrahim Abdelaziz; Srinivas Ravishankar; Salim Roukos; Alexander G. Gray; Ramón Fernandez Astudillo; Maria Chang 001; Cristina Cornelio; Saswati Dana; Achille Fokoue; Dinesh Garg; Alfio Gliozzo; et al. (ACL/IJCNLP (Findings), 2021)

STONE: Signal Temporal Logic Neural Network for Time Series Classification. - Ruixuan Yan; Agung Julius; Maria Chang 001; Achille Fokoue; Tengfei Ma 001; Rosario Uceda-Sosa (ICDM (Workshops), 2021)

SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2021)

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Srinivas Ravishankar; June Thai; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Tahira Naseem; Pavan Kapanipathi; Gaetano Rossiello; Achille Fokoue (CoRR, 2021)

SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (EMNLP (Findings), 2022)

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. - Srinivas Ravishankar; Dung Thai; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Tahira Naseem; Pavan Kapanipathi; Gaetano Rossiello; Achille Fokoue (EMNLP (Findings), 2022)

Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. - Ruixuan Yan; Tengfei Ma 001; Achille Fokoue; Maria Chang 001; Agung Julius (ICDM, 2022)

A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. - Sumit Neelam; Udit Sharma; Hima Karanam; Shajith Ikbal; Pavan Kapanipathi; Ibrahim Abdelaziz; Nandana Mihindukulasooriya; Young-Suk Lee 001; Santosh K. Srivastava; Cezar Pendus; Saswati Dana; Dinesh Garg; et al. (CoRR, 2022)

CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. - Dung Thai; Srinivas Ravishankar; Ibrahim Abdelaziz; Mudit Chaudhary; Nandana Mihindukulasooriya; Tahira Naseem; Rajarshi Das; Pavan Kapanipathi; Achille Fokoue; Andrew McCallum (CoRR, 2022)

Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases. - Sumit Neelam; Udit Sharma; Sumit Bhatia; Hima Karanam; Ankita Likhyani; Ibrahim Abdelaziz; Achille Fokoue; L. Venkata Subramaniam (CoRR, 2022)

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. - Subhajit Chaudhury; Sarathkrishna Swaminathan; Daiki Kimura; Prithviraj Sen; Keerthiram Murugesan; Rosario Uceda-Sosa; Michiaki Tatsubori; Achille Fokoue; Pavan Kapanipathi; Asim Munawar; Alexander Gray 001 (ACL (1), 2023)

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing. - Maxwell Crouse; Pavan Kapanipathi; Subhajit Chaudhury; Tahira Naseem; Ramón Fernandez Astudillo; Achille Fokoue; Tim Klinger (ACL (1), 2023)

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. - Keerthiram Murugesan; Sarathkrishna Swaminathan; Soham Dan; Subhajit Chaudhury; R. Chulaka Gunasekara; Maxwell Crouse; Diwakar Mahajan; Ibrahim Abdelaziz; Achille Fokoue; Pavan Kapanipathi; Salim Roukos; Alexander Gray 001 (ACL (Findings), 2023)

Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. - Shajith Ikbal; Udit Sharma; Hima Karanam; Sumit Neelam; Ronny Luss; Dheeraj Sreedhar; Pavan Kapanipathi; Naweed Khan; Kyle Erwin; Ndivhuwo Makondo; Ibrahim Abdelaziz; Achille Fokoue; et al. (EMNLP (Findings), 2023)

Weighted Clock Logic Point Process. - Ruixuan Yan; Yunshi Wen; Debarun Bhattacharjya; Ronny Luss; Tengfei Ma 001; Achille Fokoue; Anak Agung Julius (ICLR, 2023)

An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. - Achille Fokoue; Ibrahim Abdelaziz; Maxwell Crouse; Shajith Ikbal; Akihiro Kishimoto; Guilherme Lima; Ndivhuwo Makondo; Radu Marinescu 002 (IJCAI, 2023)

Formally Specifying the High-Level Behavior of LLM-Based Agents. - Maxwell Crouse; Ibrahim Abdelaziz; Kinjal Basu 002; Soham Dan; Sadhana Kumaravel; Achille Fokoue; Pavan Kapanipathi; Luis A. Lastras (CoRR, 2023)

Learning to Guide a Saturation-Based Theorem Prover. - Ibrahim Abdelaziz; Maxwell Crouse; Bassem Makni; Vernon Austel; Cristina Cornelio; Shajith Ikbal; Pavan Kapanipathi; Ndivhuwo Makondo; Kavitha Srinivas; Michael Witbrock; Achille Fokoue (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CHRONOS: A Schema-Based Event Understanding and Prediction System. - Maria Chang 001; Achille Fokoue; Rosario Uceda-Sosa; Parul Awasthy; Ken Barker 002; Sadhana Kumaravel; Oktie Hassanzadeh; Elton F. S. Soares; Tian Gao; Debarun Bhattacharjya; Radu Florian; Salim Roukos (AAAI, 2024)

A System and Benchmark for LLM-based Q&A on Heterogeneous Data. - Achille Fokoue; Srideepika Jayaraman; Elham Khabiri; Jeffrey O. Kephart; Yingjie Li; Dhruv Shah; Youssef Drissi; Fenno F. Terry Heath III; Anuradha Bhamidipaty; Fateh Tipu; Robert J. Baseman (CoRR, 2024)

Shedding Light on Time Series Classification using Interpretability Gated Networks. - Yunshi Wen; Tengfei Ma 001; Ronny Luss; Debarun Bhattacharjya; Achille Fokoue; Anak Agung Julius (ICLR, 2025)

Few-shot Policy (de)composition in Conversational Question Answering. - Kyle Erwin; Guy Axelrod; Maria Chang 001; Achille Fokoue; Maxwell Crouse; Soham Dan; Tian Gao; Rosario Uceda-Sosa; Ndivhuwo Makondo; Naweed Khan; Alexander G. Gray (CoRR, 2025)