Evaluation of an E-catalogue matching mechanism in public procurement notice search

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Public procurement is the purchase of goods and services by a public authority. Open tendering opens up sufficient and fair competition between suppliers and ensures that public contracts are awarded fairly, transparently and without discrimination. A public e-procurement platform allows to reach these objectives through a public tendering e-marketplace. Tender notices can be used to search for business opportunities. Tendering websites provide keyword-based search and category-based notifications to the subscribers. The idea is that notification systems deliver tender opportunities to the suppliers and thus reduce the amount of time spent looking for these tenders. But according to potential wide range of products in a business sector, a supplier may receive an extensive list of notifications which makes it difficult to find the best matched opportunities with the supplier’s product portfolio. Semantic-based technologies can be used to improve the search performance. In a previous work, a matching mechanism was developed to measure the similarity ratio of providers’ product e-catalogues with a buyer’s request. The matching mechanism uses domain ontologies to discover the semantic relationships among product data. In this paper, this product search approach is applied to a public tendering website, called Tenders Electronic Daily, in order to improve opportunity search service. The results show that the matching mechanism improves precision and recall measures.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Management Science and Engineering Management
PublisherSpringer-Verlag
Pages1237-1247
Number of pages11
Volume502
ISBN (Print)978-981-10-1836-7
DOIs
Publication statusPublished - 2017
Event10th International Conference on Management Science and Engineering Management, ICMSEM 2016 - Baku, Azerbaijan
Duration: 31 Aug 20162 Sep 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume502
ISSN (Print)21945357

Conference

Conference10th International Conference on Management Science and Engineering Management, ICMSEM 2016
CountryAzerbaijan
CityBaku
Period31/08/162/09/16

Keywords

  • E-catalogue
  • E-procurement
  • E-tender
  • Semantic search

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