Developing the Quality Model for Collaborative Open Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115620" target="_blank" >RIV/00216224:14330/20:00115620 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.procs.2020.09.228" target="_blank" >http://dx.doi.org/10.1016/j.procs.2020.09.228</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2020.09.228" target="_blank" >10.1016/j.procs.2020.09.228</a>

Result language

angličtina

Original language name

Developing the Quality Model for Collaborative Open Data

Original language description

Nowadays, the development of data sharing technologies allows to involve more people to collaboratively contribute knowledge on the Web. The shared knowledge is usually represented as Collaborative Open Data (COD), for example, Wikipedia is one of the well-known sources for COD. The Wikipedia articles can be written in different languages, updated in real time, and originated from a vast variety of editors. However, COD also bring different data quality problems such as data inconsistency and low data objectiveness due to the crowd-based and dynamic nature. These data quality problems such as biased information may lead to sentimental changes or social impacts. This paper therefore proposes a new measurement model to assess the quality of COD. In order to evaluate the proposed model, A preliminary experiment is conducted with a large scale of Wikipedia articles to validate the applicability and efficiency of this proposed quality model in the real-world scenario.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 24th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - KES 2020

ISBN

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ISSN

1877-0509

e-ISSN

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Number of pages

10

Pages from-to

1883-1892

Publisher name

Elsevier Procedia Computer Science

Place of publication

Verona, Italy

Event location

Verona, Italy

Event date

Jan 1, 2020

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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