Improving discoverability of open government data with rich metadata descriptions using semantic government vocabulary

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10387825" target="_blank" >RIV/00216208:11320/19:10387825 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/19:00325775

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=b1REy.miy_" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=b1REy.miy_</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>

Jazyk výsledku

angličtina

Název v původním jazyce

Improving discoverability of open government data with rich metadata descriptions using semantic government vocabulary

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Improving discoverability of open government data with rich metadata descriptions using semantic government vocabulary

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GA16-09713S" target="_blank" >GA16-09713S: Efektivní explorace prostoru propojených dat</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Web Semantics

ISSN

1570-8268

e-ISSN

—

Svazek periodika

Neuveden

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

000462166300001

EID výsledku v databázi Scopus

2-s2.0-85059232242