Knowledge Graph Question Answering Using Graph-Pattern Isomorphism

Research output: Contributions to collected editions/worksChapterpeer-review

Authors

  • Daniel Vollmers
  • Rricha Jalota
  • Diego Moussallem
  • Hardik Topiwala
  • Axel-Cyrille Ngonga Ngomo
  • Ricardo Usbeck
Knowledge Graph Question Answering (KGQA) systems are often based on machine learning algorithms, requiring thousands of question-answer pairs as training examples or natural language processing pipelines that need module fine-tuning. In this paper, we present a novel QA approach, dubbed TeBaQA. Our approach learns to answer questions based on graph isomorphisms from basic graph patterns of SPARQL queries. Learning basic graph patterns is efficient due to the small number of possible patterns. This novel paradigm reduces the amount of training data necessary to achieve state-of-the-art performance. TeBaQA also speeds up the domain adaption process by transforming the QA system development task into a much smaller and easier data compilation task. In our evaluation, TeBaQA achieves state-of-the-art performance on QALD-8 and delivers comparable results on QALD-9 and LC-QuAD v1. Additionally, we performed a fine-grained evaluation on complex queries that deal with aggregation and superlative questions as well as an ablation study, highlighting future research challenges.
Original languageEnglish
Title of host publicationFurther with Knowledge Graphs - Proceedings of the 17th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, The Netherlands, September 6-9, 2021
EditorsMehwish Alam, Paul Groth, Victor de Boer, Tassilo Pellegrini, Harshvardhan J. Pandit, Elena Montiel-Ponsoda, Víctor Rodríguez-Doncel, Barbara McGillivray, Albert Meroño-Peñuela
Number of pages15
Volume53
Place of PublicationNetherlands
PublisherIOS Press BV
Publication date2021
Pages103-117
ISBN (print)978-1-64368-200-6
ISBN (electronic)978-1-64368-201-3
DOIs
Publication statusPublished - 2021
Externally publishedYes

    Research areas

  • Informatics - question answering, Basic Graph Pattern, isomorphism, QUALD

Recently viewed

Activities

  1. Optimal trajectory generation using MPC in robotino and its implementation with ROS system
  2. Temporary Organizing and Organizing Trmporality: On the Multilayered Architecture of Accelerators
  3. The Domestication Approach Revisited in the Context of Digitization, Mobilization and Mediatization
  4. Using a Longitudinal Mixed-Methods Approach in HESD Research: Reflections on Pitfalls and Added Value
  5. A Learning Agent for Parameter Adaptation in Speeded Tests
  6. Lagrangian aspects of turbulent superstructures: numerical analysis of long-term dynamics and transport properties
  7. How stereotypes affect grading and tutorial feedback: Shifting evaluations or shifting standards?
  8. The importance of scales for legitimate and effective participatory environmental governance. Findings from a multi-level comparative case study of implementing the Water Framework Directive (with D. Schulz)
  9. Can better texts support weak students? Interactions between text features and readers' abilities
  10. International Conference on Methods and Models in Automation an Robotics - MMAR 2016
  11. Capitalizing on value dynamics
  12. The golden age of software architecture better named the middle age of software architecture - Some provocative thoughts
  13. Creating pathways for transformation through amplifying approaches: a case-study from Southern Transylvania
  14. E-learning module on “Participation” in the context of IWRM – “Social Science” Part
  15. DGLR Workshop, To Moon and Beyond
  16. Concurrent Adaptive Tests for Formative Assessments in School Classes

Publications

  1. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  2. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  3. Dynamic Lot Size Optimization with Reinforcement Learning
  4. Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
  5. Latent structure perceptron with feature induction for unrestricted coreference resolution
  6. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  7. The signal location task as a method quantifying the distribution of attention
  8. Understanding the properties of isospectral points and pairs in graphs
  9. A Review of Latent Variable Modeling Using R - A Step-by-Step-Guide
  10. Mirrored piezo servo hydraulic actuators for use in camless combustion engines and its Control with mirrored inputs and MPC
  11. Spaces for challenging experiences, indeterminacy, and experimentation
  12. Sliding-Mode-Based Input-Output Linearization of a Peltier Element for Ice Clamping Using a State and Disturbance Observer
  13. Using Heider’s Epistemology of Thing and Medium for Unpacking the Conception of Documents: Gantt Charts and Boundary Objects
  14. Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
  15. Modelling, Simulation and Experimental Analysis of a Metal-Polymer Hybrid Fibre based Microstrip Resonator for High Frequency Characterisation
  16. Control versus Complexity
  17. New method for assessing the repeatability of the measuring system for roughness measurements
  18. How to support synchronous net-based learning discourses
  19. Collaborative open science as a way to reproducibility and new insights in primate cognition research
  20. Guest Editorial - ''Econometrics of Anonymized Micro Data''
  21. “Ideation is Fine, but Execution is Key”
  22. Incorporating ecosystem services into ecosystem-based management to deal with complexity
  23. Deconstructing the Theoretical Language of Process Research
  24. Computational modeling of amorphous polymers
  25. Influence of Equal-Channel Angular Pressing on the Microstructure and Texture of Mg-Zn-Y-Zr-RE Alloy Sheets
  26. Failing and the perception of failure in student-driven transdisciplinary projects
  27. Neural network-based estimation and compensation of friction for enhanced deep drawing process control