Authors:
Vinicius Ferreira Salgado
1
;
Diego Bernardes de Lima Santos
1
;
Frederico Giffoni de Carvalho Dutra
2
;
Fernando Silva Parreiras
3
and
Wladmir Cardoso Brandão
1
Affiliations:
1
Department of Computer Science, Pontifical Catholic University of Minas Gerais (PUC Minas), Belo Horizonte, Brazil
;
2
Companhia Energética de Minas Gerais (CEMIG), Belo Horizonte, Brazil
;
3
Laboratory for Advanced Information Systems, FUMEC University, Belo Horizonte, Brazil
Keyword(s):
Business Opportunity, Information Extraction, Web Crawler, Ontology.
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.
(More)