Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Multi-agent model of ontology-based extraction of physical effects descriptions from natural language text

Authors
Dmitriy Korobkin, Sergey Fomenkov, Valeriy Kamaev, Marina Fomenkova
Corresponding Author
Dmitriy Korobkin
Available Online May 2016.
DOI
https://doi.org/10.2991/itsmssm-16.2016.13How to use a DOI?
Keywords
Domain ontology, fact extraction, multi-agent system, text mining, structured physical knowledge, physical effect
Abstract
Authors developed a representation model of physical effects knowledge based on an ontological approach. Authors proposed a model of multi-agent system for updating a physical effects database, including a model of agents, the model of interaction between agents, the role of agents in interaction. The developed system's efficiency was tested on a special documents corpus. Created multi-agent system can significantly reduce search time and increase efficiency in comparison with software "IOFFE"
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
DOI
https://doi.org/10.2991/itsmssm-16.2016.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dmitriy Korobkin
AU  - Sergey Fomenkov
AU  - Valeriy Kamaev
AU  - Marina Fomenkova
PY  - 2016/05
DA  - 2016/05
TI  - Multi-agent model of ontology-based extraction of physical effects descriptions from natural language text
BT  - Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
UR  - https://doi.org/10.2991/itsmssm-16.2016.13
DO  - https://doi.org/10.2991/itsmssm-16.2016.13
ID  - Korobkin2016/05
ER  -