loading
Documents

Research.Publish.Connect.

Paper

Authors: Guilherme Q. Vasconcelos 1 ; Guilherme F. Zabot 1 ; Daniel M. de Lima 1 ; José F. Rodrigues Jr. 1 ; Caetano Traina Jr. 1 ; Daniel dos S. Kaster 2 and Robson L. F. Cordeiro 1

Affiliations: 1 University of São Paulo, Brazil ; 2 State University of Londrina, Brazil

ISBN: 978-989-758-298-1

Keyword(s): Relational Databases, Division Operator, Similarity Comparison, Complex Data, Ontology, Public Tendering.

Abstract: TendeR-Sims (Tender Retrieval by Similarity) is a system that helps to search for satisfiable request for tender's lots in a database by filtering irrelevant lots, so companies can easily discover the contracts they can win. The system implements the Similarity-aware Relational Division Operator in a commercial Relational Database Management System (RDBMS), and compares products by combining a path distance in a preprocessed ontology with a textual distance. Tender-Sims focuses on answering the following query: select the lots where a company has a similar enough item for each of all required items. We evaluated our proposed system employing a dataset composed of product catologs of Brazilian companies in the food market and real requests for tenders with known results. In the presented experiments, TendeR Sims achieved up to 66\% cost reduction at 90\% recall when compared to the ground truth.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.90.185.120

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vasconcelos G., Zabot G., de Lima D., Rodrigues Jr. J., Traina Jr. C., Kaster D. and Cordeiro R. (2018). TendeR-Sims - Similarity Retrieval System for Public Tenders.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 143-150. DOI: 10.5220/0006697601430150

@conference{iceis18,
author={Guilherme Q. Vasconcelos and Guilherme F. Zabot and Daniel M. de Lima and José F. Rodrigues Jr. and Caetano Traina Jr. and Daniel dos S. Kaster and Robson L. F. Cordeiro},
title={TendeR-Sims - Similarity Retrieval System for Public Tenders},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006697601430150},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - TendeR-Sims - Similarity Retrieval System for Public Tenders
SN - 978-989-758-298-1
AU - Vasconcelos G.
AU - Zabot G.
AU - de Lima D.
AU - Rodrigues Jr. J.
AU - Traina Jr. C.
AU - Kaster D.
AU - Cordeiro R.
PY - 2018
SP - 143
EP - 150
DO - 10.5220/0006697601430150

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.