LiQuate-Estimating the Quality of Links in the Linking Open Data Cloud

Author(s):  
Edna Ruckhaus ◽  
Maria-Esther Vidal
Keyword(s):  
2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Alfonso Quarati ◽  
Monica De Martino ◽  
Sergio Rosim

The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. In addition, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Javier Nogueras-Iso ◽  
Javier Lacasta ◽  
Manuel A. Urena-Camara ◽  
F. Javier Ariza-Lopez
Keyword(s):  

2021 ◽  
Vol 1 (181) ◽  
pp. 173-179
Author(s):  
Ya.K. Litonin ◽  

The article analyzes the oilfield services market, deduces its main trends, considers the issue of increasing the efficiency and quality of oilfield services. The prospects for the development of oil service divisions in oil producing companies are assessed. Analysis and evaluation are carried out based on financial statements, as well as open data from official websites.


2019 ◽  
Vol 29 ◽  
pp. e10194
Author(s):  
Camila Andrea Herrera-Melo ◽  
Juan Sebastián González Sanabria

The provision of portals that serve as a source of access and availability of public domain data is part of the adoption of public policies that some government entities have implemented in response to the establishment of an open, transparent, multidirectional, collaborative and focused on citizen participation government, both in monitoring and in making public decisions. However, the publication of this data must meet certain characteristics to be considered open and of quality. For this reason, studies arise that focus on the approach of methodologies and indicators that measure the quality of the portals and their data. For the aim of this paper, the search of referential sources of the last six years regarding the evaluation of data quality and open data portals in Spain, Brazil, Costa Rica, Taiwan and the European Union was carried out with the objective of gathering the necessary inputs for the approach of the methodology presented in the document.


2021 ◽  
Author(s):  
Santoshi Laxmi Reddy Ellanki ◽  
John Jenq

In this report, a system was developed that can predict the outcome of opening a restaurant in NYC based on various NYC open data sets, such as 311 calls, New York Police crime records and restaurant rating data. The data sets were preprocessed and cleaned before analysis to improve the quality of our results.


Author(s):  
Augusto Tovar Numpaque

ResumenEsta investigación aporta bases científicas y metodológicas de diagnóstico territorial, relacionadas al efecto causal de las autopistas elevadas sobre su entorno inmediato. Para lograrlo se utilizan antecedentes históricos y normativos, pero también, el procesamiento de datos abiertos y la utilización de herramientas econométricas que dimensionan impacto. Los resultados identifican 11.893 hogares afectados por contaminación sonora, reducción en la edificabilidad, reducción en el valor de las propiedades y aumento en la probabilidad de robo o hurto. La Ciudad de Buenos Aires es la principal centralidad de la región en términos de empleo, producción y servicios del país. Esta condición sustenta la utilidad de las autopistas en términos económicos y de movilidad; sin embargo, enfrenta desafíos de impacto ambiental y calidad de vida, que deben ser priorizados en el marco de la agenda de cambio climático y vulnerabilidad de las poblaciones. En el documento se analiza además la evolución del modelo de ciudad con autopistas, sus transformaciones y las posibilidades futuras de estas infraestructuras en los entornos urbanos. Optimizarlas, reemplazarlas por túneles o derribarlas, son las principales acciones que las ciudades vienen desarrollando, específicamente para la recualificación de zonas céntricas, frentes costeros y entornos barriales.AbstractThis research provides scientific and methodological bases for territorial diagnostics, related to the causal effect of elevated expressways on their immediate surroundings. To achieve this, historical and normative background is used, but also, the open data processing and the use of econometric tools that measure impact. The results identify 11.893 households affected by noise pollution, reduction in buildability, reduction in property value and increase in the probability of larceny or robbery. The city of Buenos Aires is the main centrality of the region in terms of employment, production and services of the country. This condition underpins the usefulness of expressways in terms of economics and mobility; however, it faces challenges of environmental impact and quality of life, which must be prioritized within the framework of climate change and the vulnerability agenda of populations. This document also analyses the evolution of the city model with motorways, their transformations and the future possibilities of these infrastructures in urban environments. Optimizing them, replacing them with tunnels or demolishing them, are the main actions that cities are developing, specifically for the re-qualification of central areas, coastal fronts and neighborhood environments.


Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 224
Author(s):  
Mihaela Muntean ◽  
Claudiu Brândaş ◽  
Tanita Cîrstea

An Application-to-Application integration framework in the cloud environment is proposed. The methodological demarche is developed using a data symmetry approach. Implementation aspects of integration considered the Open Data Protocol (OData) service as an integrator. An important issue in the cloud environment is to integrate and ensure the quality of transferred and processed data. An efficient way of ensuring the completeness and integrity of data transferred between different applications and systems is the symmetry of data integration. With these considerations, the integration of SAP Hybris Cloud for Customer with S/4 HANA Cloud was implemented.


2016 ◽  
Vol 12 (3) ◽  
pp. 111-133 ◽  
Author(s):  
Ahmad Assaf ◽  
Aline Senart ◽  
Raphaël Troncy

Ensuring data quality in Linked Open Data is a complex process as it consists of structured information supported by models, ontologies and vocabularies and contains queryable endpoints and links. In this paper, the authors first propose an objective assessment framework for Linked Data quality. The authors build upon previous efforts that have identified potential quality issues but focus only on objective quality indicators that can measured regardless on the underlying use case. Secondly, the authors present an extensible quality measurement tool that helps on one hand data owners to rate the quality of their datasets, and on the other hand data consumers to choose their data sources from a ranked set. The authors evaluate this tool by measuring the quality of the LOD cloud. The results demonstrate that the general state of the datasets needs attention as they mostly have low completeness, provenance, licensing and comprehensibility quality scores.


Author(s):  
Abdulbaki Uzun ◽  
Eric Neidhardt ◽  
Axel Küpper

Mobile network operators maintain data about their mobile network topology, which is mainly used for network provisioning and planning purposes restricting its full business potential. Utilizing this data in combination with the extensive pool of semantically modeled data in the Linking Open Data Cloud, innovative applications can be realized that would establish network operators as service providers and enablers in the highly competitive services market. In this article, the authors introduce the OpenMobileNetwork (available at http://www.openmobilenetwork.org/) as an open solution for providing approximated network topology data based on the principles of Linked Data along with a business concept for network operators to exploit their valuable asset. Since the quality of the estimated network topology is crucial when providing services on top of it, the authors further analyze and evaluate state-of-the-art approaches for estimating base station positions out of crowdsourced data and discuss the results in comparison to real base station locations.


Author(s):  
Harald Wahl ◽  
Jorg Schlager ◽  
Markus Michalitsch ◽  
Christoph Lindmaier ◽  
Georg F. Ruttner ◽  
...  
Keyword(s):  

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