Ján Mojžiš and Michal Laclavík present an interesting topic in the academic article Browsing Semantic Data in Slovakia in the latest volume of B.R.A.I.N. journal.
Semantic data browsing is an important task for open and governmental data in behalf of public control. There are many projects and solutions regarding semantic data browsing and navigation, but despite the fact, in Slovakia, the availability of such data is poor.
They contribute to the Slovakian semantic data by designing and proposing their solution of data browsing, by implementing their own AGECRT NET tool.
The information on the Web is distributed in different arrangements; usually for normal clients, who tend to utilize prominent web programs with a specific end goal to skim online information. In such case, programs use HTTP convention to search HTML language structure arranged information. Other sort of information is semantic information.
Here the researchers can incorporate semantic web positions like RDF. Really, it is just a standard and the solid execution is the RDF/XML design. With respect to HTML information, additionally for RDF information, there are different programs.
The USA governmental project data.gov hosts datasets of different departments and states of the USA. However, while the USA governmental project Data.gov hosts a decent volume of 189,998 datasets, its Slovak counterpart data.gov.sk appears just as a poor cousin, offering “only” 624 datasets. Besides, the potential for Slovakia is promising, yet it seems to have completely missed the chance. Like the U.S. governmental data.gov website service, which was launched in late May 2009, Slovak counterpart, data.gov.sk, is controlled by the Open Government Partnership Action Plan of the Slovak Republic (OGSK).
To outline the clumsiness of official institutions with data.gov.sk, there is the city of Prešov, a splendid sample of activity for open information that has its datasets distributed with data.gov.sk. Here one can discover road names dataset, school-like organizations or insights about resident numbers. That would be awesome, yet Prešov is the main city, really distributed with data.gov.sk, to the day of composing this work. In Slovakia, there are 8 nations, each with 1 territorial capital (including city of Prešov), so 7 local capital urban areas are still truant in data.gov.sk.
Basically, they separate open information distributed in Slovakia into 2 categories. The first is the category of clear and open data, machine readable. This classification is essential and the information very usable. In any case, it is the littlest out of 2 gatherings. The second one, despite the fact that is distributed, the information itself is in unseemly organization (such as PDF). Yet so little market of open information in Slovakia is isolated and divided again.
As if it was not enough already, that data.gov.sk does not cover the majority of the couple of accessible machine clear sources. By proposition of this paper, they attempt to top off the crevice of semantic tools accessibility, currently present in Slovakia. Since information sources are not generally machine readable, they encourage the idea like Suchal and Vojtek (2009) and use standard expressions. Yet, rather than online based administration, they propose customer based arrangement.
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