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Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns. / Ovchinnikova, Kristina; Sidorova, Elena.

2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE), 2022. стр. 890-895.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Ovchinnikova, K & Sidorova, E 2022, Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns. в 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE), стр. 890-895, 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022, Екатеринбург, Российская Федерация, 11.11.2022. https://doi.org/10.1109/sibircon56155.2022.10017011

APA

Ovchinnikova, K., & Sidorova, E. (2022). Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns. в 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) (стр. 890-895). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/sibircon56155.2022.10017011

Vancouver

Ovchinnikova K, Sidorova E. Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns. в 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE). 2022. стр. 890-895 doi: 10.1109/sibircon56155.2022.10017011

Author

Ovchinnikova, Kristina ; Sidorova, Elena. / Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns. 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE), 2022. стр. 890-895

BibTeX

@inproceedings{79a2ac2b65d94f3aa0476a3ac3b4584f,
title = "Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns",
abstract = "The work considers an approach of automatic generation of lexico-syntactic ontology design patterns based on analysis of competence questions expressed in natural language. Process of the generation of lexico-syntactic patterns includes generation of the scientific dictionary, extraction of the entities of the ontology, formation of the structure of extracted relations, such as Data Property and Object Property, and a set of restrictions, including semantic, grammatical and positional restrictions. We use competency questions for specifying grammatical and positional restrictions and extract the necessary grammatical restrictions for each specific relation. For the experiment, we used the “Decision support in weakly formalized areas” ontology, a corpus of scientific texts of the same subject area. During the experiment, we got the following results: the F1 score was 0.77 for attributes and 0.55 for relations. Comparison of the results obtained for patterns without grammatical restrictions and the results obtained for patterns with grammatical restrictions showed that adding restrictions improves extraction of ontology entities.",
author = "Kristina Ovchinnikova and Elena Sidorova",
year = "2022",
doi = "10.1109/sibircon56155.2022.10017011",
language = "English",
isbn = "9781665464802",
pages = "890--895",
booktitle = "2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
note = "2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022, SIBIRCON 2022 ; Conference date: 11-11-2022 Through 13-11-2022",
url = "https://sibircon.ieeesiberia.org/",

}

RIS

TY - GEN

T1 - Analysis of Competency Questions for Automatic Generation of Lexico-Syntactic Ontology Design Patterns

AU - Ovchinnikova, Kristina

AU - Sidorova, Elena

PY - 2022

Y1 - 2022

N2 - The work considers an approach of automatic generation of lexico-syntactic ontology design patterns based on analysis of competence questions expressed in natural language. Process of the generation of lexico-syntactic patterns includes generation of the scientific dictionary, extraction of the entities of the ontology, formation of the structure of extracted relations, such as Data Property and Object Property, and a set of restrictions, including semantic, grammatical and positional restrictions. We use competency questions for specifying grammatical and positional restrictions and extract the necessary grammatical restrictions for each specific relation. For the experiment, we used the “Decision support in weakly formalized areas” ontology, a corpus of scientific texts of the same subject area. During the experiment, we got the following results: the F1 score was 0.77 for attributes and 0.55 for relations. Comparison of the results obtained for patterns without grammatical restrictions and the results obtained for patterns with grammatical restrictions showed that adding restrictions improves extraction of ontology entities.

AB - The work considers an approach of automatic generation of lexico-syntactic ontology design patterns based on analysis of competence questions expressed in natural language. Process of the generation of lexico-syntactic patterns includes generation of the scientific dictionary, extraction of the entities of the ontology, formation of the structure of extracted relations, such as Data Property and Object Property, and a set of restrictions, including semantic, grammatical and positional restrictions. We use competency questions for specifying grammatical and positional restrictions and extract the necessary grammatical restrictions for each specific relation. For the experiment, we used the “Decision support in weakly formalized areas” ontology, a corpus of scientific texts of the same subject area. During the experiment, we got the following results: the F1 score was 0.77 for attributes and 0.55 for relations. Comparison of the results obtained for patterns without grammatical restrictions and the results obtained for patterns with grammatical restrictions showed that adding restrictions improves extraction of ontology entities.

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85147526466&partnerID=40&md5=7b8da2372cc96c912727c7bdcad76d07

UR - https://www.mendeley.com/catalogue/bc2c069e-57ad-3924-8b96-ead098592431/

U2 - 10.1109/sibircon56155.2022.10017011

DO - 10.1109/sibircon56155.2022.10017011

M3 - Conference contribution

SN - 9781665464802

SP - 890

EP - 895

BT - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022

Y2 - 11 November 2022 through 13 November 2022

ER -

ID: 45969535