Development of lexico-syntactic ontology design patterns for information extraction of scientific data

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Development of lexico-syntactic ontology design patterns for information extraction of scientific data. / Ovchinnikova, Kristina; Kononenko, Irina; Sidorova, Elena.

In: CEUR Workshop Proceedings, Vol. 3036, 2021, p. 349-361.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{e73270cee40546c48187df23f46ccea3,

title = "Development of lexico-syntactic ontology design patterns for information extraction of scientific data",

abstract = "The work considers an approach to information extraction based on lexico-syntactic patterns (LSPs). LSPs are built on the basis of knowledge about the scientific subject domain presented in the ontology and the corpus of scientific publications in different areas of knowledge. Two key tasks must be solved with the help of the LSPs: extracting object names and constructing objects in accordance with the structure of the ontology classes. In line with these tasks, terminological and informational LSPs are differentiated. Terminological patterns ensure the extraction of object names and properties based on indicators - marker words and phrases. Information patterns provide identification of ontology objects based on key attributes, description of actant structure for predicates expressing attributive relations and relations between ontology objects, as well as matching language constructions to values of attributes of ontology objects and their relations. Research is conducted on the basis of a corpus of scientific publications, which includes 100 articles from various fields of knowledge. The ways of expressing information about research method as the central concept of the ontology of scientific activity are investigated.",

keywords = "Lexico-syntactic patterns, Ontology design patterns, Ontology of the scientific activity, Ontology population, Subject dictionary",

author = "Kristina Ovchinnikova and Irina Kononenko and Elena Sidorova",

note = "Publisher Copyright: {\textcopyright} 2021 CEUR-WS. All rights reserved.; Supplementary 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021 ; Conference date: 26-10-2021 Through 29-10-2021",

year = "2021",

language = "English",

volume = "3036",

pages = "349--361",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

RIS

TY - JOUR

T1 - Development of lexico-syntactic ontology design patterns for information extraction of scientific data

AU - Ovchinnikova, Kristina

AU - Kononenko, Irina

AU - Sidorova, Elena

PY - 2021

Y1 - 2021

N2 - The work considers an approach to information extraction based on lexico-syntactic patterns (LSPs). LSPs are built on the basis of knowledge about the scientific subject domain presented in the ontology and the corpus of scientific publications in different areas of knowledge. Two key tasks must be solved with the help of the LSPs: extracting object names and constructing objects in accordance with the structure of the ontology classes. In line with these tasks, terminological and informational LSPs are differentiated. Terminological patterns ensure the extraction of object names and properties based on indicators - marker words and phrases. Information patterns provide identification of ontology objects based on key attributes, description of actant structure for predicates expressing attributive relations and relations between ontology objects, as well as matching language constructions to values of attributes of ontology objects and their relations. Research is conducted on the basis of a corpus of scientific publications, which includes 100 articles from various fields of knowledge. The ways of expressing information about research method as the central concept of the ontology of scientific activity are investigated.

AB - The work considers an approach to information extraction based on lexico-syntactic patterns (LSPs). LSPs are built on the basis of knowledge about the scientific subject domain presented in the ontology and the corpus of scientific publications in different areas of knowledge. Two key tasks must be solved with the help of the LSPs: extracting object names and constructing objects in accordance with the structure of the ontology classes. In line with these tasks, terminological and informational LSPs are differentiated. Terminological patterns ensure the extraction of object names and properties based on indicators - marker words and phrases. Information patterns provide identification of ontology objects based on key attributes, description of actant structure for predicates expressing attributive relations and relations between ontology objects, as well as matching language constructions to values of attributes of ontology objects and their relations. Research is conducted on the basis of a corpus of scientific publications, which includes 100 articles from various fields of knowledge. The ways of expressing information about research method as the central concept of the ontology of scientific activity are investigated.

KW - Lexico-syntactic patterns

KW - Ontology design patterns

KW - Ontology of the scientific activity

KW - Ontology population

KW - Subject dictionary

UR - http://www.scopus.com/inward/record.url?scp=85121220874&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85121220874

VL - 3036

SP - 349

EP - 361

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - Supplementary 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021

Y2 - 26 October 2021 through 29 October 2021

ER -

ID: 35028873