Improving discoverability of Open Government Data with rich metadata descriptions using Semantic Government Vocabulary

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00325775" target="_blank" >RIV/68407700:21230/19:00325775 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/19:10387825
Result on the web
<a href="https://doi.org/10.1016/j.websem.2018.12.009" target="_blank" >https://doi.org/10.1016/j.websem.2018.12.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.websem.2018.12.009" target="_blank" >10.1016/j.websem.2018.12.009</a>

Result language
angličtina
Original language name
Improving discoverability of Open Government Data with rich metadata descriptions using Semantic Government Vocabulary
Original language description
The descriptive metadata gathered by open data catalogs are often simple key-value pairs that describe provenance information, but not concepts from the domain of the described dataset. Search engines relying on such metadata cannot make use of semantic connections among datasets. In this paper, we present a Semantic Government Vocabulary that is used for creating rich annotations of Open Government Data, allowing to find their mutual interconnections, as well as document their meaning in the machine readable form. We discuss how the Semantic Government Vocabulary is layered based on the different ontological types of terms occurring in the Open Government Data. Next, we show how the vocabularies can be used to annotate Open Government Data on different levels of detail and how to formalize the whole stack in the Web Ontology Language. We evaluate feasibility and usability of our approach using a study in the elections domain.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
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/GA16-09713S" target="_blank" >GA16-09713S: Efficient Exploration of Linked Data Cloud</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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