Towards Cleaning-Up Open Data Portals: A Metadata Reconciliation Approach

Tygel, Alan Freihof; Auer, Sören; Debattista, Jeremy; Orlandi, Fabrizio; Campos, María Luiza Machado

doi:10.1109/icsc.2016.54

Cited by 15 publications

(5 citation statements)

References 18 publications

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“…Figure 9: Averagenot "Relative" -data quality of all open data portals with respect to each quality sub-dimension (cf., Table 2) in this paper an Open Data Portal Quality (ODPQ) dashboard, which is dynamic and enables any open data end-user/stakeholder to easily assess/rank open data portals based on multiple quality dimensions and personal preferences. Our research work purely analyzes the state and quality of the metadata, providing useful quality indicators for applications that use the metadata such as in (Tygel et al, 2016;Zuiderwijk et al, 2016Zuiderwijk et al, , 2012b. From a theoretical standpoint, AHP is used to properly deal with such multiple indicators, while enabling endusers to adjust their preferences regarding the one or more of these indicators.…”

Section: Resultsmentioning

confidence: 99%

Comparison of metadata quality in open data portals using the Analytic Hierarchy Process

Kubler

Robert

Neumaier

et al. 2018

Government Information Quarterly

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The quality of metadata in open data portals plays a crucial role for the success of open data. E-government, for example, have to manage accurate and complete metadata information to guarantee the reliability and foster the reputation of e-government to the public. Measuring and comparing the quality of open data is not a straightforward process because it implies to take into consideration multiple quality dimensions whose quality may vary from one another, as well as various open data stakeholders whodepending on their role/needs-may have different preferences regarding the dimensions' importance. To address this Multi-Criteria Decision Making (MCDM) problem, and since data quality is hardly considered in existing e-government models, this paper develops an Open Data Portal Quality (ODPQ) framework that enables end-users to easily and in real-time assess/rank open data portals. From a theoretical standpoint, the Analytic Hierarchy Process (AHP) is used to integrate various data quality dimensions and end-user preferences. From a practical standpoint, the proposed framework is used to compare over 250 open data portals, powered by organizations across 43 different countries. The findings of our study reveals that today's organizations do not pay sufficient heed to the management of datasets, resources and associated metadata that they are currently publishing on their portal.

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Section: Resultsmentioning

confidence: 99%

Comparison of metadata quality in open data portals using the Analytic Hierarchy Process

Kubler

Robert

Neumaier

et al. 2018

Government Information Quarterly

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“…Tygel et al [19] present a system to link datasets from different Open Data portals by extracting the tags and keywords from metadata descriptions: the tags get reconciled using automated translations and similarity measures, and re-published using unique URIs and meta-information for the reconciled tags. Again, specifically, links to organizations and temporal changes were not taken into account in this approach.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Even though multilingual labels can be defined on Wikidata, this is often not sufficient for our case. For example, the concept Russian Federal State Statistics Service (Федеральная служба статистики) does exist on Wikidata 19 -but there is no Russian label defined for it as of April 2020. Yet, this label appears more than 3,000 times in the ODPW data base as publisher.…”

Section: Challenge Analysismentioning

confidence: 99%

Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs

Portisch¹,

Fallatah²,

Neumaier³

et al. 2020

Preprint

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Open Government Data (OGD) is being published by various public administration organizations around the globe. Within the metadata of OGD data catalogs, the publishing organizations (1) are not uniquely and unambiguously identifiable and, even worse, (2) change over time, by public administration units being merged or restructured. In order to enable fine-grained analyzes or searches on Open Government Data on the level of publishing organizations, linking those from OGD portals to publicly available knowledge graphs (KGs) such as Wikidata and DBpedia seems like an obvious solution. Still, as we show in this position paper, organization linking faces significant challenges, both in terms of available (portal) metadata and KGs in terms of data quality and completeness. We herein specifically highlight five main challenges, namely regarding (1) temporal changes in organizations and in the portal metadata, (2) lack of a base ontology for describing organizational structures and changes in public knowledge graphs, (3) metadata and KG data quality, (4) multilinguality, and (5) disambiguating public sector organizations. Based on available OGD portal metadata from the Open Data Portal Watch, we provide an in-depth analysis of these issues, make suggestions for concrete starting points on how to tackle them along with a call to the community to jointly work on these open challenges.

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“…O problemaé que as tags normalmente são atribuídas por gestores de datasets de forma livre, estando sujeitasà ambiguidade e subjetividade. Técnicas já foram desenvolvidas para limpar, conciliar e enriquecer tags de portais de dados abertos de governo, como por exemplo em [Tygel et al 2016], porém uma forma que parece interessanteé tentar enriquecer semanticamente tags a partir dos dados e de extrações de fontes diversas.…”

Section: Conclusãounclassified

Extração de dados de fontes textuais: uma abordagem para enriquecimento de dados abertos interligados

Teixeira¹,

Campos²,

Silva³

2018

Anais Do Seminário Integrado De Software E Hardware (SEMISH)

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Na Web de Dados, itens de dados são interconectados e associados a anotações descritivas na forma de vocabulários, tirando vantagem de uma representação em triplas. Neste contexto, documentos e outras fontes textuais podem ser anotados para serem incorporados a este universo como recursos ou servindo também de base para extração de novas triplas. O objetivo deste artigo é apresentar uma abordagem para extração de dados e geração de triplas a partir de textos com estilos específicos visando o enriquecimento de dados abertos interligados, através de sua associação e ligação a bases existentes. A abordagem foi aplicada e avaliada no contexto de um portal com informações sobre o consumo de agrotóxicos no Brasil.

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Towards Cleaning-Up Open Data Portals: A Metadata Reconciliation Approach

Cited by 15 publications

References 18 publications

Comparison of metadata quality in open data portals using the Analytic Hierarchy Process

Comparison of metadata quality in open data portals using the Analytic Hierarchy Process

Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs

Extração de dados de fontes textuais: uma abordagem para enriquecimento de dados abertos interligados

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