Ontology-based Approach for Business Opportunities Recognition

Vinicius Salgado, Diego Santos, Frederico Dutra, Fernando Parreiras, Wladmir Brandão

2021

Abstract

The Web is the main source of business related information due to its accessibility, diversity and huge size, resulting from the high degree of collective engagement. However, extracting relevant information from this vast environment to use in decision making by organizational staff is a great challenge. In particular, the gathering of information related to business opportunities and its effective treatment to extract pieces of useful information to predict consumer and market behavior is essential for organizational survival. Although some approaches for handling business related information from Web have been proposed in literature, they under exploit contextual semantic patterns for information extraction, e.g., the set of properties related to the business opportunity topic. The present article proposes an ontology-based approach to recognize business opportunities from business related news extracted from the Web. Experimental results show that of our approach can effectivelly recognize business opportunities, reaching up to 90% of accuracy.

Paper Citation

in Harvard Style

Salgado V., Santos D., Dutra F., Parreiras F. and Brandão W. (2021). Ontology-based Approach for Business Opportunities Recognition. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 594-601. DOI: 10.5220/0010400105940601

in Bibtex Style

@conference{iceis21,
author={Vinicius Salgado and Diego Santos and Frederico Dutra and Fernando Parreiras and Wladmir Brandão},
title={Ontology-based Approach for Business Opportunities Recognition},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={594-601},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010400105940601},
isbn={978-989-758-509-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Ontology-based Approach for Business Opportunities Recognition
SN - 978-989-758-509-8
AU - Salgado V.
AU - Santos D.
AU - Dutra F.
AU - Parreiras F.
AU - Brandão W.
PY - 2021
SP - 594
EP - 601
DO - 10.5220/0010400105940601