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