Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Ontology as mapping of material world. / Лещева, Ирина Анатольевна; Лещев, Дмитрий Владимирович.
Proceedings of IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges”. Том 44 2018. 55.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
}
TY - GEN
T1 - Ontology as mapping of material world
AU - Лещева, Ирина Анатольевна
AU - Лещев, Дмитрий Владимирович
N1 - Leshcheva, I. A. Ontology as mapping of material world [electronic resource] / I. A. Leshcheva, D. V. Leshchev // Proceedings of IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges”. - 2018. - Volume 44. - URL.: https://www.shs-conferences.org/articles/shsconf/pdf/2018/05/shsconf_cc-tesc2018_00055.pdf.
PY - 2018
Y1 - 2018
N2 - This paper reviews currently available approaches and methods of automated population and enrichment of ontologies or ontology-based knowledge bases by structured data stored in various heterogeneous sources. Advantages and disadvantages of each approach are pointed out. The results of the analysis allow concluding that the existing methods are not effective enough to solve practical problems. A new method suggested does not have any of the specified disadvantages. The suggested method allows integrating data from different types of sources and considering the distributed nature of data and the necessity of authentication during accessing network resources. The method also suggests a solution to the problem of integrated data conflict resolution so that it will reduce the complexity of populating and enriching ontologies using the collected data arrays, irrespective of the format in which data are stored or represented.
AB - This paper reviews currently available approaches and methods of automated population and enrichment of ontologies or ontology-based knowledge bases by structured data stored in various heterogeneous sources. Advantages and disadvantages of each approach are pointed out. The results of the analysis allow concluding that the existing methods are not effective enough to solve practical problems. A new method suggested does not have any of the specified disadvantages. The suggested method allows integrating data from different types of sources and considering the distributed nature of data and the necessity of authentication during accessing network resources. The method also suggests a solution to the problem of integrated data conflict resolution so that it will reduce the complexity of populating and enriching ontologies using the collected data arrays, irrespective of the format in which data are stored or represented.
KW - Ontology
KW - ontology mapping
U2 - 10.1051/shsconf/20184400055
DO - 10.1051/shsconf/20184400055
M3 - Conference contribution
VL - 44
BT - Proceedings of IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges”
ER -
ID: 36614088