SHS Web of Conf.
Volume 44, 2018IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges” (CC-TESC2018)
|Number of page(s)||9|
|Published online||05 June 2018|
Ontology as mapping of material world
1 Saint Petersburg State University, the Institute “Graduate School of Management”, 199004 Volkhovsky per. 3, Russian Federation
2 Peter the Great Saint Petersburg Polytechnic University, Centre for Advanced Studies, 195251 Polytechnicheskaya st. 29, Russian Federation
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.