scholarly journals TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data

Semantic Web ◽  
2021 ◽  
pp. 1-27
Author(s):  
Ahmet Soylu ◽  
Oscar Corcho ◽  
Brian Elvesæter ◽  
Carlos Badenes-Olmedo ◽  
Tom Blount ◽  
...  
Keyword(s):  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Knowledge Graph ◽  
Multiple Sources ◽  
The Public ◽  
Cross Border ◽  
Data Platform ◽  
Document Search ◽  
Cross Lingual

Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, open data initiatives and integration of data from multiple sources across national borders could transform the procurement market by such as lowering the barriers of entry for smaller suppliers and encouraging healthier competition, in particular by enabling cross-border bids. Increasingly more open data is published in the public sector; however, these are created and maintained in siloes and are not straightforward to reuse or maintain because of technical heterogeneity, lack of quality, insufficient metadata, or missing links to related domains. To this end, we developed an open linked data platform, called TheyBuyForYou, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed advanced tools and services on top of the knowledge graph for anomaly detection, cross-lingual document search, and data storytelling. This article describes the TheyBuyForYou platform and knowledge graph, reports their adoption by different stakeholders and challenges and experiences we went through while creating them, and demonstrates the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.

Enabling the Matchmaking of Organizations and Public Procurement Notices by Means of Linked Open Data

2013 ◽  
pp. 105-131 ◽  
Author(s):  
Jose María Alvarez Rodríguez ◽  
José Emilio Labra Gayo ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Specific Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Domain Specific ◽  
The Status ◽  
Financial Transactions

The aim of this chapter is to present a proposal and a case study to describe the information about organizations in a standard way using the Linked Data approach. Several models and ontologies have been provided in order to formalize the data, structure and behaviour of organizations. Nevertheless, these tries have not been fully accepted due to some factors: (1) missing pieces to define the status of the organization; (2) tangled parts to specify the structure (concepts and relations) between the elements of the organization; 3) lack of text properties, and other factors. These divergences imply a set of incomplete approaches to formalize data and information about organizations. Taking into account the current trends of applying semantic web technologies and linked data to formalize, aggregate, and share domain specific information, a new model for organizations taking advantage of these initiatives is required in order to overcome existing barriers and exploit the corporate information in a standard way. This work is especially relevant in some senses to: (1) unify existing models to provide a common specification; (2) apply semantic web technologies and the Linked Data approach; (3) provide access to the information via standard protocols, and (4) offer new services that can exploit this information to trace the evolution and behaviour of the organization over time. Finally, this work is interesting to improve the clarity and transparency of some scenarios in which organizations play a key role, like e-procurement, e-health, or financial transactions.

scholarly journals LINKED DATA VIEWING AS PART OF THE SPATIAL DATA PLATFORM OF THE FUTURE

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 49-52 ◽  
Author(s):  
E. Folmer ◽  
W. Beek ◽  
L. Rietveld
Keyword(s):  
The Netherlands ◽  
Spatial Data ◽  
Online Publication ◽  
Linked Data ◽  
Open Data ◽  
Linked Open Data ◽  
Geospatial Data ◽  
Sparql Endpoint ◽  
Data Platform ◽  
Main Components

<p><strong>Abstract.</strong> The Land Registry and Mapping Agency of the Netherlands (‘Kadaster’ in Dutch) is developing an online publication platform for sharing its geospatial data assets called KDP (`Kadaster Data Platform’ in Dutch). One of the main goals of this platform is to better share geospatial data with the wider, web-oriented world, including its developers, approaches, and standards. Linked Open Data (W3C), GeoSPARQL (OGC), and Open APIs (OpenAPI Specification) are the predominant standardized approaches for this purpose. As a result, the most important spatial datasets of the Netherlands – including several key registries – are now being published as Linked Open Data that can be accessed through a SPARQL endpoint and a collection of REST APIs. In addition to providing raw access to the data, Kadaster Data Platform also offers developers functionalities that allow them to gain a better understanding about the contents of its datasets. These functionalities include various ways for viewing Linked Data . This paper focuses on two of the main components the Kadaster Data Platform is using for this purpose: FacetCheck and Data Stories.</p>

scholarly journals Traditional Procurement versus Public-Pivate Partnership: A Comparison and Synergies with Focus on Cross-border Contracts

2020 ◽  
Vol 66 (1) ◽  
pp. 52-64
Author(s):  
Ludmila Štěrbová ◽  
Jaroslav Halík ◽  
Pavla Neumannová
Keyword(s):  
Public Sector ◽  
Service Providers ◽  
Public Procurement ◽  
Public Private Partnership ◽  
Barriers To Entry ◽  
National Interests ◽  
Private Partnership ◽  
The Public ◽  
Cross Border ◽  
Foreign Governments

AbstractGovernment purchases represent an important part of the world economy. Selling to the public sector is a key business activity for certain industries or service providers. The public procurement segment’s attractiveness is also underlined by the security of payment and large extent of supplies. With globalisation as a worldwide phenomenon, businesses do not have to rely only on domestic institutions; they can enter international B2G markets as well. However, the ability of private companies to do business with foreign governments is limited by various national legislations as governments settle the procurement regulation with respect to their national interests. In the following overview article, the authors analyse the two main and typical procurement types – traditional procurement and public-private partnership – with regard to recent development trends, international regulatory framework, opportunities and barriers to entry for European businesses. The main goal of the paper is to define, based on this analysis, the main differences and possible synergies of the traditional procurement and public-private partnership while focusing on cross-border contracts. This paper can be regarded as useful for business, academia as well as the public sector.

scholarly journals Classifying the LOD cloud

2018 ◽  
Vol 12 (4) ◽  
pp. 06-10
Author(s):  
Daniel Martínez Ávila ◽  
Richard P. Smiraglia ◽  
Rick Szostak ◽  
Andrea Scharnhorst ◽  
Wouter Beek ◽  
...  
Keyword(s):  
Linked Data ◽  
Information Science ◽  
Open Data ◽  
Knowledge Graph ◽  
Statistical Techniques ◽  
Library And Information Science ◽  
Universal Decimal Classification ◽  
Basic Concepts ◽  
Definition Of ◽  
Decimal Classification

Massive amounts of data from different contexts and producers are collected and connected relying often solely on statistical techniques. Problems to the acclaimed value of data lie in the precise definition of data and associated contexts as well as the problem that data are not always published in meaningful and open ways. The Linked Data paradigm offers a solution to the limitations of simple keywords by having unique, resolvable and shared identifiers instead of strings This paper reports on a three-year research project “Digging Into the Knowledge Graph,” funded as part of the 2016 Round Four Digging Into Data Challenge (https://diggingintodata.org/awards/2016/project/digging-knowledge-graph). Our project involves comparing terminology employed within the LOD cloud with terminology employed within two general but different KOSs – Universal Decimal Classification and Basic Concepts Classification. We are exploring whether these classifications can encourage greater consistency in LOD terminology and linking the largely distinct scholarly literatures that address LOD and KOSs. Our project is an attempt to connect the Linked Open Data community, which has tended to be centered in computer science, and the KO community, with members from linguistics, metaphysics, library and information science. We focus on the shared challenges related to Big Data between both communities.

Enhancing the Access to Public Procurement Notices by Promoting Product Scheme Classifications to the Linked Open Data Initiative

2013 ◽  
pp. 1-27
Author(s):  
Jose María Alvarez Rodríguez ◽  
Luis Polo Paredes ◽  
Emilio Rubiera Azcona ◽  
Alejandro Rodríguez González ◽  
José Emilio Labra Gayo ◽  
...  
Keyword(s):  
European Union ◽  
Semantic Web ◽  
United Nations ◽  
Public Procurement ◽  
Open Data ◽  
Information Resources ◽  
Linked Open Data ◽  
Common Data Model ◽  
The European Union ◽  
The Public

This chapter introduces the promotion of existing product scheme classifications to the Linked Open Data initiative in the context of the European Union and other official organizations such as United Nations. A common data model and an enclosed conversion method based on Semantic Web vocabularies such as SKOS are also presented to encode data and information following the W3C standards RDF and OWL. This work is applied to the e-procurement sector, more specifically, to enhance the access to the public procurement notices published in the European Union. Finally, an evaluation of the gain, in terms of expressivity, is reported with the objective of demonstrating the advantages of applying Linked Data to retrieve information resources.

scholarly journals Improving Machine Translation through Linked Data

2017 ◽  
Vol 108 (1) ◽  
pp. 355-366 ◽  
Author(s):  
Ankit Srivastava ◽  
Georg Rehm ◽  
Felix Sasaki
Keyword(s):  
Machine Translation ◽  
Language Processing ◽  
Linked Data ◽  
Statistical Machine Translation ◽  
Open Data ◽  
Knowledge Bases ◽  
Data Sets ◽  
Lexical Resources ◽  
Unknown Words ◽  
Cross Lingual

Abstract With the ever increasing availability of linked multilingual lexical resources, there is a renewed interest in extending Natural Language Processing (NLP) applications so that they can make use of the vast set of lexical knowledge bases available in the Semantic Web. In the case of Machine Translation, MT systems can potentially benefit from such a resource. Unknown words and ambiguous translations are among the most common sources of error. In this paper, we attempt to minimise these types of errors by interfacing Statistical Machine Translation (SMT) models with Linked Open Data (LOD) resources such as DBpedia and BabelNet. We perform several experiments based on the SMT system Moses and evaluate multiple strategies for exploiting knowledge from multilingual linked data in automatically translating named entities. We conclude with an analysis of best practices for multilingual linked data sets in order to optimise their benefit to multilingual and cross-lingual applications.

scholarly journals ANALYTICAL TOOLS FOR CONTROL AND MONITORING OF PUBLIC PROCUREMENT

2020 ◽  
pp. 173-192
Author(s):  
Tetiana MULYK ◽  
Olena TOMCHUK ◽  
Yaroslavna MULYK
Keyword(s):  
Public Procurement ◽  
Open Data ◽  
Electronic System ◽  
Risk Indicators ◽  
The Public ◽  
Judicial Practice ◽  
Other Information ◽  
The Right ◽  
Real Time Information ◽  
Analytical Tools

The article examines analytical tools for control and monitoring of public procurement. It was determined that after the launch of the ProZorro system and the publication of a significant amount of open data, many tools and services have appeared in Ukraine to help analyze and monitor public procurement and its participants. The information on analytical tools for controlling and monitoring public procurement is updated at https://dozorro.org/tools. The role of monitoring in the field of public procurement is described. The reasons for the decision to start monitoring procurement are highlighted. It is determined that the monitoring portal DoZorro is a platform where each participant of the system can give feedback to a state customer or supplier, discuss and evaluate the terms of a particular procurement, analyze the procurement of a particular government agency or institution, prepare and submit an official appeal to the regulatory authorities and much more. The opportunities for any procurement participants provided by the DoZorro portal are described. The DoZorro monitoring portal includes: analytics modules, tools for customers, tools for research of cash flow, tools for research of participants, tools of judicial practice, AMCU practice, and practice of monitoring authorities. Each tool has its own characteristics and capabilities. If you choose the right service, you can find the information you need, or get the desired result much faster and better. The capabilities of the public analytics module are given and detailed in detail. It has a large list of criteria by which you can select purchases, plans, suppliers, customers and consists of specific applications. Its structure is represented by the following appendices: planning stages and incorrect plan points, governing body panel, medical procurement, ESCO procurement stage. The capabilities of the professional analytics module, the medical analytics module, risk indicators DoZorro, procurement COVID-19 are also described. The procedure for using indicators to form a queue of risky procurement procedures is presented. It is determined that the researched tools allow to analyze purchases in an electronic system and allow to display in real time information about announced procurements, information about customers, participants, complaints, contracts and other information from the central database.

scholarly journals An Approach to Constructing a Knowledge Graph Based on Korean Open-Government Data

2019 ◽  
Vol 9 (19) ◽  
pp. 4095
Author(s):  
Jae-won Lee ◽  
Jaehui Park
Keyword(s):  
Decision Making ◽  
Public Sector ◽  
Data Driven ◽  
Open Government ◽  
Knowledge Graph ◽  
Data Driven Decision Making ◽  
The Public ◽  
Open Government Data ◽  
Data Platform ◽  
Government Data

A data platform collecting the whole metadata held by government agencies and a knowledge graph showing the relationship between the collected open-government data are proposed in this paper. By practically applying the data platform and the knowledge graph to the public sector in Korea, three improvements were expected: (1) enhancing user accessibility across open-government data; (2) allowing users to acquire relevant data as well as desired data with a single query; and (3) enabling data-driven decision-making. In particular, the barriers for citizens to acquire the necessary data have been greatly reduced by using the proposed knowledge graph, which is considered to be important for data-driven decision-making. The reliability and feasibility of constructing a metadata-based open-data platform and a knowledge graph are estimated to be considerably high as the proposed approach is applied to a real service of the public sector in Korea.

scholarly journals Intelligent Learning for Knowledge Graph towards Geological Data

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Yueqin Zhu ◽  
Wenwen Zhou ◽  
Yang Xu ◽  
Ji Liu ◽  
Yongjie Tan
Keyword(s):  
Language Processing ◽  
Linked Data ◽  
Semantic Network ◽  
Open Data ◽  
Knowledge Graph ◽  
Geological Data ◽  
Geological Information ◽  
Novel Method ◽  
Effectiveness And Efficiency ◽  
Dynamic Updating

Knowledge graph (KG) as a popular semantic network has been widely used. It provides an effective way to describe semantic entities and their relationships by extending ontology in the entity level. This article focuses on the application of KG in the traditional geological field and proposes a novel method to construct KG. On the basis of natural language processing (NLP) and data mining (DM) algorithms, we analyze those key technologies for designing a KG towards geological data, including geological knowledge extraction and semantic association. Through this typical geological ontology extracting on a large number of geological documents and open linked data, the semantic interconnection is achieved, KG framework for geological data is designed, application system of KG towards geological data is constructed, and dynamic updating of the geological information is completed accordingly. Specifically, unsupervised intelligent learning method using linked open data is incorporated into the geological document preprocessing, which generates a geological domain vocabulary ultimately. Furthermore, some application cases in the KG system are provided to show the effectiveness and efficiency of our proposed intelligent learning approach for KG.

scholarly journals CROSS-BORDER OPEN DATA SHARING: GIOCONDA PROJECT

2019 ◽  
Vol XLII-4/W14 ◽  
pp. 233-238
Author(s):  
J. F. Toro ◽  
D. Carrion ◽  
A. Albertella ◽  
M. A. Brovelli
Keyword(s):  
Best Practices ◽  
Data Sharing ◽  
Spatial Information ◽  
Open Data ◽  
Data Publishing ◽  
Economic Activities ◽  
The Public ◽  
Cross Border ◽  
Open Government Data ◽  
Government Data

<p><strong>Abstract.</strong> Open Data, and Open Government Data, are proving to be an important resource for the economic development inside the domain where information has a key role (Carrara et al., 2015). Although, different practices for data publishing have led to misalignment, underuse and repetition of information (Bizer et al., 2011). For this reason, the Public Administrations have undergone efforts on integrating the information and promoting interoperability through the implementation of best practices, as for example, the use of a common semantics vocabulary for the metadata (DCAT) as proposed by the ISA2 programme of the European Commission. The Interreg Italy-Switzerland GIOCOnDA project has been proposed for enhancing the data sharing processes in the cross-border area, particularly addressing tourism and mobility that are key economic activities for the region. For this work, a review on the data catalogues published in dati.lombardia.it and opendata.swiss is presented. The revision of the datasets showed the need for: 1) defining common semantics for the description of the categories of data to avoid the arbitrary use of vocabularies, and 2) adopting standards for the description of geodata. On the other hand, it was observed the potential to gather existing information to produce geodata querying the datasets with specific keywords that can provide spatial information. Open data, as well as the use of best practices for publishing data, push towards the use of FOSS. In this work, Python has been exploited to analyse the content of the catalogues to access web portals resources.</p>

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