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Outline

A survey on semantic question answering systems

The Knowledge Engineering Review

https://doi.org/10.1017/S0269888921000138

Abstract

Recently, many question answering systems that derive answers from linked data repositories have been developed. The purpose of this survey is to identify the common features and approaches of the semantic question answering (SQA) systems, although many different and prototype systems have been designed. The SQA systems use a formal query language like SPARQL and knowledge of a specific vocabulary. This paper analyses different frameworks, architectures, or systems that perform SQA and classifies SQA systems based on different criteria.

References (51)

  1. Aggarwal, N. & Buitelaar, P. 2012. A system description of natural language query over dbpedia. In Proceedings of Interacting with Linked Data (ILD 2012), workshop co-located with the 9th Extended Semantic Web Conference, Unger, C., Cimiano, P., Lopez, V., Motta, E., Buitelaar, P. & Cyganiak, R. (eds). May 28, 2012, Heraklion, Greece, 97-100.
  2. Allam, A. M. N. & Haggag, M. H. 2012. The question answering systems: a survey. International Journal of Research and Reviews in Information Sciences (IJRRIS) 2(3), 211-221.
  3. Athreya, R. G., Bansal, S. K., Ngomo, A. C. N. & Usbeck, R. 2021. Template-based question answering using recursive neural networks. In 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 195-198. IEEE.
  4. Atzori, M., Gao, S., Mazzeo, G. M. & Zaniolo, C. 2016. Answering end-user questions, queries and searches on Wikipedia and its history. IEEE Data Engineering 39(3), 85-96.
  5. Atzori, M. & Zaniolo, C. 2012. Swipe: searching Wikipedia by example. In Proceedings of the 21st International Conference on World Wide Web, 309-312.
  6. Baudiš, P. 2015. YodaQA: a modular question answering system pipeline. In POSTER 2015-19th International Student Conference on Electrical Engineering, 1156-1165.
  7. Beaumont, R., Grau, B. & Ligozat, A. L. 2015. SemGraphQA@ QALD5: LIMSI participation at QALD5@ CLEF. In Working Notes of CLEF 2015 -Conference and Labs of the Evaluation Forum, 1-10.
  8. Bouziane, A., Bouchiha, D., Doumi, N. & Malki, M. 2015. Question answering systems: survey and trends. Procedia Computer Science 73, 366-375.
  9. Cabrio, E. Palmero Aprosio, A., Cojan, J., Magnini, B., Gandon, F. & Lavelli, A. 2012. QAKiS at QALD-2. In Proceedings of Interacting with Linked Data (ILD) 2012, Workshop at ESWC 2012, Heraklion, Greece, 2012.
  10. Cimiano, P., Lopez, V., Unger, C., Cabrio, E., Ngomo, A. C. N. & Walter, S. 2013. Multilingual question answering over linked data (qald-3): lab overview. In International Conference of the Cross-Language Evaluation Forum for European Languages, 321-332. Springer.
  11. Chakraborty, N., Lukovnikov, D., Maheshwari, G., Trivedi, P., Lehmann, J. & Fischer, A. 2021. Introduction to neural network- based question answering over knowledge graphs. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11(3), e1389.
  12. Damljanovic, D., Agatonovic, M. & Cunningham, H. 2010. Natural language interfaces to ontologies: combining syntactic analysis and ontology-based lookup through the user interaction. In Extended Semantic Web Conference, 106-120. Springer.
  13. Diefenbach, D., Both, A., Singh, K. & Maret, P. (2020). Towards a question answering system over the semantic web. Semantic Web 11(3), 421-439.
  14. Diefenbach, D., Lopez, V., Singh, K. & Maret, P. 2018a. Core techniques of question answering systems over knowledge bases: a survey. Knowledge and Information Systems 55(3), 529-569.
  15. Diefenbach, D., Migliatti, P. H., Qawasmeh, O., Lully, V., Singh, K. & Maret, P. 2019. QAnswer: a question answering prototype bridging the gap between a considerable part of the LOD cloud and end-users. In The World Wide Web Conference, 3507-3510.
  16. Diefenbach, D., Singh, K. & Maret, P. 2018b. Wdaqua-core1: a question answering service for RDF knowledge bases. In Companion Proceedings of The Web Conference 2018, 1087-1091.
  17. Dima, C. 2013. Intui2: a prototype system for question answering over linked data. In Working Notes for CLEF 2013 Conference.
  18. Dima, C. 2014. Answering natural language questions with Intui3. In Working Notes for CLEF, 1201-1211.
  19. Dimitrakis, E., Sgontzos, K. & Tzitzikas, Y. 2020. A survey on question answering systems over linked data and documents. Journal of Intelligent Information Systems 55(2), 233-259.
  20. Dubey, M., Banerjee, D., Chaudhuri, D. & Lehmann, J. 2018. EARL: joint entity and relation linking for question answering over knowledge graphs. In International Semantic Web Conference, 108-126. Springer.
  21. Dwivedi, S. K. & Singh, V. 2013. Research and reviews in question answering system. Procedia Technology 10, 417-424.
  22. Fader, A. 2014. Open Question Answering (Doctoral dissertation). University of Washington, Computer Science and Engineering.
  23. Ferré, S. 2012. Squall: a controlled natural language for querying and updating RDF graphs. In International Workshop on Controlled Natural Language, 11-25. Springer.
  24. Ferré, S. 2013a. SQUALL: a controlled natural language as expressive as SPARQL 1.1. In International Conference on Application of Natural Language to Information Systems, 114-125. Springer.
  25. Ferré, S. 2013b. SQUALL2SPARQL: a translator from controlled english to full SPARQL 1.1. In Working Notes for CLEF 2013 Conference. Giannone, C., Bellomaria, V. & Basili, R. 2013. A HMM-based approach to question answering against linked data. In Working Notes for CLEF 2013 Conference.
  26. Guyonvarch, J., Ferre, S. & Ducassé, M. 2013. Scalable query-based faceted search on top of SPARQL endpoints for guided and expressive semantic search. In Proceedings of the Question Answering over Linked Data Lab (QALD-3) at CLEF, Valencia, Spain.
  27. Hamon, T., Grabar, N., Mougin, F. & Thiessard, F. 2014. Description of the POMELO system for the Task 2 of QALD-2014. CLEF (Working Notes) 1212, 28.
  28. Höffner, K., Walter, S., Marx, E., Usbeck, R., Lehmann, J. & Ngonga Ngomo, A. C. 2017. Survey on challenges of question answering in the semantic web. Semantic Web 8(6), 895-920.
  29. Jin, H., Luo, Y., Gao, C., Tang, X. & Yuan, P. 2019. ComQA: question answering over knowledge base via semantic matching. IEEE Access 7, 75235-75246.
  30. Kolomiyets, O. & Moens, M. F. 2011. A survey on question answering technology from an information retrieval perspective. Information Sciences 181(24), 5412-5434.
  31. Liang, S., Stockinger, K., de Farias, T. M., Anisimova, M. & Gil, M. 2021. Querying knowledge graphs in natural language. Journal of Big Data 8(1), 1-23.
  32. Lopez, V., Fernández, M., Motta, E. & Stieler, N. 2012. Poweraqua: supporting users in querying and exploring the semantic web. Semantic Web 3(3), 249-265.
  33. Lopez, V., Unger, C., Cimiano, P. & Motta, E. 2013. Evaluating question answering over linked data. Journal of Web Semantics 21, 3-13.
  34. Marginean, A. 2017. Question answering over biomedical linked data with grammatical framework. Semantic Web 8(4), 565-580.
  35. Mazzeo, G. M. & Zaniolo, C. 2016a. Answering controlled natural language questions on RDF knowledge bases. In EDBT, 608-611.
  36. Mazzeo, G. M. & Zaniolo, C. 2016b. CANaLI: a system for answering controlled natural language questions on RDF knowledge bases, Technical Report, No. 160004.
  37. Mishra, A. & Jain, S. K. 2016. A survey on question answering systems with classification. Journal of King Saud University- Computer and Information Sciences 28(3), 345-361.
  38. Park, S., Kwon, S., Kim, B. & Lee, G. G. 2015. ISOFT at QALD-5: hybrid question answering system over linked data and text data. In CLEF (Working Notes).
  39. Pradel, C., Haemmerlé, O. & Hernandez, N. 2012. Swip, a semantic web interface using patterns. In GKR 2011, Croitoru, M., Rudolph, S., Wilson, N., Howse, J. & Corby, O. (eds), LNCS 7205, 172-187. Springer.
  40. Pradel, C., Peyet, G., Haemmerlé, O. & Hernandez, N. 2013. Swip at qald-3: results, criticisms and lesson learned. In Working Notes for CLEF 2013 Conference.
  41. Radoev, N., Zouaq, A., Tremblay, M. & Gagnon, M. 2018. A language adaptive method for question answering on French and English. In Semantic Web Evaluation Challenge, 98-113. Springer.
  42. Ruseti, S., Mirea, A., Rebedea, T. & Trausan-Matu, S. 2015. QAnswer-enhanced entity matching for question answering over linked data. In CLEF (Working Notes), 28-35.
  43. Sasikumar, U. & Sindhu, L. 2014. A survey of natural language question answering system. International Journal of Computer Applications 108(15), 975-8887.
  44. Shizhu, H., Yuanzhe, Z., Kang, L. & Jun, Z. 2014. CASIA@V2: a MLN-based question answering system over linked data. In CLEF 2014 Working Notes Papers.
  45. Sorokin, D. & Gurevych, I. 2017. End-to-end representation learning for question answering with weak supervision. In Semantic Web Evaluation Challenge, 70-83. Springer.
  46. Tran, P. N. & Nguyen, D. T. 2016. A linked data driven semantic model for interpreting English queries in question answering system. In Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 1-5.
  47. Wendt, M., Gerlach, M. & Düwiger, H. 2012. Linguistic modeling of linked open data for question answering. In Proceedings of Interacting with Linked Data (ILD 2012), Workshop Co-Located with the 9th Extended Semantic Web Conference, Unger, C., Cimiano, P., Lopez, V., Motta, E., Buitelaar, P. & Cyganiak, R. (eds), May 28, 2012, Heraklion, Greece, 75-87.
  48. Yahya, M., Berberich, K., Elbassuoni, S., Ramanath, M., Tresp, V. & Weikum, G. 2012. Deep answers for naturally asked questions on the web of data. In Proceedings of the 21st International Conference on World Wide Web, 445-449. https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0269888921000138
  49. Downloaded from https://www.cambridge.org/core. IP address: 3.237.31.31, on 21 Jan 2022 at 15:27:54, subject to the Cambridge Core terms of use, available at Xu, K., Zhang, S., Feng, Y. & Zhao, D. 2014. Answering natural language questions via phrasal semantic parsing. In CCF International Conference on Natural Language Processing and Chinese Computing, 333-344. Springer.
  50. Zafar, H., Dubey, M., Lehmann, J. & Demidova, E. 2020. IQA: interactive query construction in semantic question answering systems. Journal of Web Semantics 64, 100586.
  51. Zou, L., Huang, R., Wang, H., Yu, J. X., He, W. & Zhao, D. 2014. Natural language question answering over RDF: a graph data driven approach. In Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, 313-324.