Systematic review of question answering over knowledge bases
Abstract Over the years, a growing number of semantic data repositories have been made available on the web. However, this has created new challenges in exploiting these resources efficiently. Querying services require knowledge beyond the typical user’s expertise, which is a critical issue in adopt...
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| Format: | Article |
| Language: | English |
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Wiley
2022-02-01
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| Series: | IET Software |
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| Online Access: | https://doi.org/10.1049/sfw2.12028 |
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| author | Arnaldo Pereira Alina Trifan Rui Pedro Lopes José Luís Oliveira |
| author_facet | Arnaldo Pereira Alina Trifan Rui Pedro Lopes José Luís Oliveira |
| author_sort | Arnaldo Pereira |
| collection | DOAJ |
| description | Abstract Over the years, a growing number of semantic data repositories have been made available on the web. However, this has created new challenges in exploiting these resources efficiently. Querying services require knowledge beyond the typical user’s expertise, which is a critical issue in adopting semantic information solutions. Several proposals to overcome this difficulty have suggested using question answering (QA) systems to provide user‐friendly interfaces and allow natural language use. Because question answering over knowledge bases (KBQAs) is a very active research topic, a comprehensive view of the field is essential. The purpose of this study was to conduct a systematic review of methods and systems for KBQAs to identify their main advantages and limitations. The inclusion criteria rationale was English full‐text articles published since 2015 on methods and systems for KBQAs. Sixty‐six articles were reviewed to describe their underlying reference architectures. |
| format | Article |
| id | doaj-art-04697432d0774fb6af778aec15f00301 |
| institution | Kabale University |
| issn | 1751-8806 1751-8814 |
| language | English |
| publishDate | 2022-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Software |
| spelling | doaj-art-04697432d0774fb6af778aec15f003012025-02-03T01:29:37ZengWileyIET Software1751-88061751-88142022-02-0116111310.1049/sfw2.12028Systematic review of question answering over knowledge basesArnaldo Pereira0Alina Trifan1Rui Pedro Lopes2José Luís Oliveira3Institute of Electronics and Informatics Engineering of Aveiro (IEETA) University of Aveiro Aveiro PortugalInstitute of Electronics and Informatics Engineering of Aveiro (IEETA) University of Aveiro Aveiro PortugalResearch Centre in Digitalization and Intelligent Robotics (CeDRI) Polytechnic Institute of Bragança Bragança PortugalInstitute of Electronics and Informatics Engineering of Aveiro (IEETA) University of Aveiro Aveiro PortugalAbstract Over the years, a growing number of semantic data repositories have been made available on the web. However, this has created new challenges in exploiting these resources efficiently. Querying services require knowledge beyond the typical user’s expertise, which is a critical issue in adopting semantic information solutions. Several proposals to overcome this difficulty have suggested using question answering (QA) systems to provide user‐friendly interfaces and allow natural language use. Because question answering over knowledge bases (KBQAs) is a very active research topic, a comprehensive view of the field is essential. The purpose of this study was to conduct a systematic review of methods and systems for KBQAs to identify their main advantages and limitations. The inclusion criteria rationale was English full‐text articles published since 2015 on methods and systems for KBQAs. Sixty‐six articles were reviewed to describe their underlying reference architectures.https://doi.org/10.1049/sfw2.12028query processingnatural language processingInternetquestion answering (information retrieval)knowledge based systemsuser interfaces |
| spellingShingle | Arnaldo Pereira Alina Trifan Rui Pedro Lopes José Luís Oliveira Systematic review of question answering over knowledge bases IET Software query processing natural language processing Internet question answering (information retrieval) knowledge based systems user interfaces |
| title | Systematic review of question answering over knowledge bases |
| title_full | Systematic review of question answering over knowledge bases |
| title_fullStr | Systematic review of question answering over knowledge bases |
| title_full_unstemmed | Systematic review of question answering over knowledge bases |
| title_short | Systematic review of question answering over knowledge bases |
| title_sort | systematic review of question answering over knowledge bases |
| topic | query processing natural language processing Internet question answering (information retrieval) knowledge based systems user interfaces |
| url | https://doi.org/10.1049/sfw2.12028 |
| work_keys_str_mv | AT arnaldopereira systematicreviewofquestionansweringoverknowledgebases AT alinatrifan systematicreviewofquestionansweringoverknowledgebases AT ruipedrolopes systematicreviewofquestionansweringoverknowledgebases AT joseluisoliveira systematicreviewofquestionansweringoverknowledgebases |