Monitoring Energy Trends through Automatic Information Extraction
- URL: http://arxiv.org/abs/2201.01559v1
- Date: Wed, 5 Jan 2022 12:07:32 GMT
- Title: Monitoring Energy Trends through Automatic Information Extraction
- Authors: Dilek K\"u\c{c}\"uk
- Abstract summary: We present the architecture of a Web-based system called EneMonIE for monitoring up-to-date energy trends.
The types of media handled by the system will include online news articles, social media texts, online news videos, and open-access scholarly papers.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Energy research is of crucial public importance but the use of computer
science technologies like automatic text processing and data management for the
energy domain is still rare. Employing these technologies in the energy domain
will be a significant contribution to the interdisciplinary topic of ``energy
informatics", just like the related progress within the interdisciplinary area
of ``bioinformatics". In this paper, we present the architecture of a Web-based
semantic system called EneMonIE (Energy Monitoring through Information
Extraction) for monitoring up-to-date energy trends through the use of
automatic, continuous, and guided information extraction from diverse types of
media available on the Web. The types of media handled by the system will
include online news articles, social media texts, online news videos, and
open-access scholarly papers and technical reports as well as various numeric
energy data made publicly available by energy organizations. The system will
utilize and contribute to the energy-related ontologies and its ultimate form
will comprise components for (i) text categorization, (ii) named entity
recognition, (iii) temporal expression extraction, (iv) event extraction, (v)
social network construction, (vi) sentiment analysis, (vii) information fusion
and summarization, (viii) media interlinking, and (ix) Web-based information
retrieval and visualization. Wits its diverse data sources, automatic text
processing capabilities, and presentation facilities open for public use;
EneMonIE will be an important source of distilled and concise information for
decision-makers including energy generation, transmission, and distribution
system operators, energy research centres, related investors and entrepreneurs
as well as for academicians, students, other individuals interested in the pace
of energy events and technologies.
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