Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models

Mehmet Selman Baysan; Furkan Kızılay; Haluk Harun Gündoğan; Ayşe İrem Özmen; Gökhan İnce

doi:10.1007/978-3-031-70018-7_18

Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models

Mehmet Selman Baysan^*, Furkan Kızılay, Haluk Harun Gündoğan, Ayşe İrem Özmen, Gökhan İnce

^*Bu çalışma için yazışmadan sorumlu yazar

Bilgisayar Mühendisliği Bölümü

MDP Group

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

Electronic Data Interchange (EDI) integration is crucial as it streamlines electronic data exchange between companies, enhancing efficiency and accuracy in business processes. This research aims to generate the corresponding target EDI format for given input data in a manner akin to the machine translation problem. The study explores various sequence-to-sequence models and encoder-decoder architectures to identify the most effective outcomes. The impact of these encoder-decoder and data input-output representation techniques on EDI integration is investigated using crowd-sourced datasets. The effectiveness of the proposed approach is demonstrated using different performance evaluation metrics. The findings revealed that using a Multi-Layer Seq2Seq model achieves an accuracy score of 90.21%, BLEU Score of 83.36% and ROUGE-L score of 88.5%, for enhancing EDI integration processes in businesses.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Selcuk Cebi, Basar Oztaysi, Irem Ucal Sari, A. Cagrı Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	158-166
Sayfa sayısı	9
ISBN (Basılı)	9783031700170
DOI'lar	https://doi.org/10.1007/978-3-031-70018-7_18
Yayın durumu	Yayınlandı - 2024
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Süre: 16 Tem 2024 → 18 Tem 2024

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	1088 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Ülke/Bölge	Turkey
Şehir	Canakkale
Periyot	16/07/24 → 18/07/24

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Belgeye Erişim

10.1007/978-3-031-70018-7_18

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Baysan, M. S., Kızılay, F., Gündoğan, H. H., Özmen, A. İ., & İnce, G. (2024). Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models. In C. Kahraman, S. Cevik Onar, S. Cebi, B. Oztaysi, I. Ucal Sari, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 158-166). (Lecture Notes in Networks and Systems; Hac. 1088 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70018-7_18

Baysan, Mehmet Selman ; Kızılay, Furkan ; Gündoğan, Haluk Harun et al. / Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Selcuk Cebi ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 158-166 (Lecture Notes in Networks and Systems).

@inproceedings{ace8d49b13c9408e8c07a8ee8c4ec8d1,

title = "Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models",

abstract = "Electronic Data Interchange (EDI) integration is crucial as it streamlines electronic data exchange between companies, enhancing efficiency and accuracy in business processes. This research aims to generate the corresponding target EDI format for given input data in a manner akin to the machine translation problem. The study explores various sequence-to-sequence models and encoder-decoder architectures to identify the most effective outcomes. The impact of these encoder-decoder and data input-output representation techniques on EDI integration is investigated using crowd-sourced datasets. The effectiveness of the proposed approach is demonstrated using different performance evaluation metrics. The findings revealed that using a Multi-Layer Seq2Seq model achieves an accuracy score of 90.21%, BLEU Score of 83.36% and ROUGE-L score of 88.5%, for enhancing EDI integration processes in businesses.",

keywords = "Artificial Intelligence, EDI Integration, Natural Language Processing",

author = "Baysan, {Mehmet Selman} and Furkan Kızılay and G{\"u}ndoğan, {Haluk Harun} and {\"O}zmen, {Ay{\c s}e İrem} and G{\"o}khan İnce",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Intelligent and Fuzzy Systems, INFUS 2024 ; Conference date: 16-07-2024 Through 18-07-2024",

year = "2024",

doi = "10.1007/978-3-031-70018-7_18",

language = "English",

isbn = "9783031700170",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "158--166",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Selcuk Cebi and Basar Oztaysi and {Ucal Sari}, Irem and Tolga, {A. Cagrı}",

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address = "Germany",

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Baysan, MS, Kızılay, F, Gündoğan, HH, Özmen, Aİ & İnce, G 2024, Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models. in C Kahraman, S Cevik Onar, S Cebi, B Oztaysi, I Ucal Sari & AC Tolga (eds), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Lecture Notes in Networks and Systems, hac. 1088 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 158-166, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-70018-7_18

Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models. / Baysan, Mehmet Selman; Kızılay, Furkan; Gündoğan, Haluk Harun et al.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Selcuk Cebi; Basar Oztaysi; Irem Ucal Sari; A. Cagrı Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 158-166 (Lecture Notes in Networks and Systems; Hac. 1088 LNNS).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models

AU - Baysan, Mehmet Selman

AU - Kızılay, Furkan

AU - Gündoğan, Haluk Harun

AU - Özmen, Ayşe İrem

AU - İnce, Gökhan

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Electronic Data Interchange (EDI) integration is crucial as it streamlines electronic data exchange between companies, enhancing efficiency and accuracy in business processes. This research aims to generate the corresponding target EDI format for given input data in a manner akin to the machine translation problem. The study explores various sequence-to-sequence models and encoder-decoder architectures to identify the most effective outcomes. The impact of these encoder-decoder and data input-output representation techniques on EDI integration is investigated using crowd-sourced datasets. The effectiveness of the proposed approach is demonstrated using different performance evaluation metrics. The findings revealed that using a Multi-Layer Seq2Seq model achieves an accuracy score of 90.21%, BLEU Score of 83.36% and ROUGE-L score of 88.5%, for enhancing EDI integration processes in businesses.

AB - Electronic Data Interchange (EDI) integration is crucial as it streamlines electronic data exchange between companies, enhancing efficiency and accuracy in business processes. This research aims to generate the corresponding target EDI format for given input data in a manner akin to the machine translation problem. The study explores various sequence-to-sequence models and encoder-decoder architectures to identify the most effective outcomes. The impact of these encoder-decoder and data input-output representation techniques on EDI integration is investigated using crowd-sourced datasets. The effectiveness of the proposed approach is demonstrated using different performance evaluation metrics. The findings revealed that using a Multi-Layer Seq2Seq model achieves an accuracy score of 90.21%, BLEU Score of 83.36% and ROUGE-L score of 88.5%, for enhancing EDI integration processes in businesses.

KW - Artificial Intelligence

KW - EDI Integration

KW - Natural Language Processing

UR - http://www.scopus.com/inward/record.url?scp=85203593533&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-70018-7_18

DO - 10.1007/978-3-031-70018-7_18

M3 - Conference contribution

AN - SCOPUS:85203593533

SN - 9783031700170

T3 - Lecture Notes in Networks and Systems

SP - 158

EP - 166

BT - Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Oztaysi, Basar

A2 - Ucal Sari, Irem

A2 - Tolga, A. Cagrı

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2024

Y2 - 16 July 2024 through 18 July 2024

ER -

Baysan MS, Kızılay F, Gündoğan HH, Özmen Aİ, İnce G. Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models. In Kahraman C, Cevik Onar S, Cebi S, Oztaysi B, Ucal Sari I, Tolga AC, editörler, Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Springer Science and Business Media Deutschland GmbH. 2024. p. 158-166. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70018-7_18

Automatic Target Generation for Electronic Data Interchange using Sequence-to-Sequence Models

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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