Matchmaking Public Procurement Linked Open Data

Mynarz, Jindřich; Svátek, Vojtěch; Noia, Tommaso Di

doi:10.1007/978-3-319-26148-5_27

Cited by 2 publications

(2 citation statements)

References 12 publications

(5 reference statements)

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“…Product classification systems try to standardize the references that are used for describing goods and services in e-procurement (Mehrbod et al, 2015). Mynarz et al (2015) developed a supplier finder service based on similarity of a call for tender to the history of successful previous contracts. The matchmaking is based on SPARQL queries on linked data of procurement data from TED and Czech public procurement journal.…”

Section: Linked Open Datamentioning

confidence: 99%

Application of a semantic product matching mechanism in open tendering e-marketplaces

Mehrbod¹,

Zutshi²,

Grilo³

et al. 2018

JOPP

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Purpose Searching the tender notices that publish every day in open tendering websites is a common way for finding business opportunity in public procurement. The heterogeneity of tender notices from various tendering marketplaces is a challenge for exploiting semantic technologies in the tender search. Design/methodology/approach Most of the semantic matching approaches require the data to be structured and integrated according to a data model. But the integration process can be expensive and time-consuming especially for multi-source data integration. Findings In this paper, a product search mechanism that had been developed in an e-procurement platform for matching product e-catalogues is applied to the tender search problem. The search performance has been compared using two procurement vocabularies on searching tender notices from two major tender resources. Originality/value The test results show that the matching mechanism is able to find tender notices from heterogeneous resources and different classification systems without transforming the tenders to a uniform data model.

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Section: Linked Open Datamentioning

confidence: 99%

Application of a semantic product matching mechanism in open tendering e-marketplaces

Mehrbod¹,

Zutshi²,

Grilo³

et al. 2018

JOPP

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“…The search and recommendation tasks within the procurement contracts search domain can be characterised as a professional search task [12,10] -as the search task has a high financial value associated with it, and the process of searching through all the different opportunities from the disparate platforms comes at a high cost. To this end, various e-procurement systems and search technologies have been developed aimed at helping suppliers identify opportunities for which they can bid on by aggregating the opportunities from the different portals [8,3,2,9,1]. Such systems play a vital role in making the market more efficient in matching suppliers with those in need of goods, services and works [7].…”

Section: Introductionmentioning

confidence: 99%

An Initial Analysis of E-Procurement Search Behaviour

Mackie

Azzopardi²,

Moshfeghi³

2022

Information for a Better World: Shaping the Global Future

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Procurement or tender search is where suppliers seek opportunities for providing goods, works or services that authorities, organisations and businesses require. Such opportunities are listed as procurement contract notices for which suppliers can submit tenders. Typically, an E-Procurement system is used to help find and carry out one or more of the stages involved in the procurement process (from finding potential opportunities, bidding on such opportunities, to delivering the goods, works or services, i.e. find, win, deliver). Such systems are crucial in enabling suppliers to efficiently search through the available listings of procurement contract notices listed across various public and commercial portals. However, little research has investigated how end-users search for such opportunities. In this paper, we perform a descriptive analysis of the professional search behaviours of suppliers using a bespoke e-procurement system. Our analysis is based on a sub-sample of six months of search log interaction data. First, we provide an overview of the usage patterns of our sample of users before investigating how the behaviour of searchers is influenced by the type of search form used (quick vs advanced), user expertise (new vs experienced), and the domain of the procurement notices (General, Defence, Medical, etc.). Our findings highlight that more experienced searchers appear to be more strategic than less experienced searchers and that searchers behave differently depending on the domain in terms of querying and assessing behaviours. This analysis suggests that e-procurement search engines need to be mindful of the differences across searchers and between domains when designing a system to help support their users.

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Matchmaking Public Procurement Linked Open Data

Cited by 2 publications

References 12 publications

Application of a semantic product matching mechanism in open tendering e-marketplaces

Application of a semantic product matching mechanism in open tendering e-marketplaces

An Initial Analysis of E-Procurement Search Behaviour

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