Open AccessOntology-based methods of thermophysical data integration
Author(s) -
A. V. Kosinov,
А. О. Еркимбаев,
V. Yu. Zitserman,
Г. А. Кобзев
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1385/1/012033
Subject(s) - json , ontology , computer science , database , upgrade , process (computing) , information retrieval , data integration , ontology based data integration , world wide web , semantic web , programming language , operating system , philosophy , epistemology
The article describes new technologies and tools used for drastic upgrading the database THERMAL, one of the oldest thermophysical databases. The database upgrade project provides for a essential expansion of its volume and service capabilities, as well as the possibility of permanently updating the conceptual scheme with the advent of new objects and notions. The developed technology ensures the conversion of old and newly loaded documents to a common semantically integrated infrastructure. In accordance with the project, the whole process of creating data and their further support includes three stages: conversion of all data, regardless of format, to a structured JSON document; creation of the ontology repository and the binding of terms from a JSON documents with the classes of ontologies for semantic integration; tuning of the high-performance computing platform to manage an extensive collection of JSON files and perform complex searches.