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Authors: Vitor Afonso Pinto 1 ; Guilherme Sousa Bastos 2 ; Fabricio Ziviani 1 and Fernando Silva Parreiras 1

Affiliations: 1 FUMEC University, Brazil ; 2 UNIFEI, Brazil

Keyword(s): Semantic Web, Linked Data, Linked Enterprise Data, Competitive Intelligence.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Organisational Issues on Systems Integration

Abstract: Competitive Intelligence is a process which involves retrieving, analyzing and packaging information to offer a final product that responds to the intelligence needs of a particular decision maker or community of decision makers. Internet-based information sources are becoming increasingly important in this process because most of the contents available on the Web are available free of charge. In this work the following research question was addressed: What are the concepts and technologies related to linked data which allow gathering, integration and sharing of information to support competitive intelligence? To answer this question, firstly, the literature was reviewed in order to outline the conceptual framework. Next, some competency questions were defined through a focus group in a study object. Finally, DB4Trading tool was built as a prototype able to validate the conceptual framework. Results point out that adoption of Semantic Web technologies enable to obtain the da ta needed for the analysis of external environments. Besides that, results indicate that companies use Semantic Web technologies to support its operations despite consider these technologies as complex. This work adds to the decision-making process, specially in the context of competitive intelligence. This work also contributes to reducing costs to obtain information beyond organization boundaries by using Semantic Web technologies. (More)

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Paper citation in several formats:
Afonso Pinto, V.; Sousa Bastos, G.; Ziviani, F. and Silva Parreiras, F. (2015). Supporting Competitive Intelligence with Linked Enterprise Data. In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-096-3; ISSN 2184-4992, SciTePress, pages 409-415. DOI: 10.5220/0005472604090415

@conference{iceis15,
author={Vitor {Afonso Pinto}. and Guilherme {Sousa Bastos}. and Fabricio Ziviani. and Fernando {Silva Parreiras}.},
title={Supporting Competitive Intelligence with Linked Enterprise Data},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2015},
pages={409-415},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005472604090415},
isbn={978-989-758-096-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Supporting Competitive Intelligence with Linked Enterprise Data
SN - 978-989-758-096-3
IS - 2184-4992
AU - Afonso Pinto, V.
AU - Sousa Bastos, G.
AU - Ziviani, F.
AU - Silva Parreiras, F.
PY - 2015
SP - 409
EP - 415
DO - 10.5220/0005472604090415
PB - SciTePress