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RE: Geospatial-semantic Exploration on the Move [via Geospatial Semantic Web Community Group]

From: Uroš Milošević <uros.milosevic@pupin.rs>
Date: Tue, 2 Jun 2015 08:52:01 +0200
To: "'Melvin Carvalho'" <melvincarvalho@gmail.com>
Cc: <public-geosemweb@w3.org>
Message-ID: <00da01d09d00$a31b71b0$e9525510$@pupin.rs>
Hi Melvin,

Thanks. No, not yet. It’s one of the many results of the ongoing GeoKnow project. We will consider publishing it on Google Play and App Store (it’s cross platform) at the end of the year. 


From: Melvin Carvalho [mailto:melvincarvalho@gmail.com] 
Sent: Monday, June 1, 2015 5:34 PM
To: Uros Milosevic
Cc: public-geosemweb@w3.org
Subject: Re: Geospatial-semantic Exploration on the Move [via Geospatial Semantic Web Community Group]




On 1 June 2015 at 16:50, W3C Community Development Team <team-community-process@w3.org <mailto:team-community-process@w3.org> > wrote:

A typical tourist scenario is hard to picture without a map. Yet, such a
scenario implies you are not familiar with your surroundings and, therefore,
often not sure how to find the things that are of interest to you. Typical
geospatial browsers will provide you with common exploration tools that will
most often include a slippy map combined with keyword search, categorized points
of interest (POIs) and a fixed set of filters. But, all of these imply either
that you know what it is you’re looking for, or that the preset collection of
POIs and criteria will be enough to satisfy your needs. In real life, however,
those needs will often be affected by the given context, which is, in turn,
dependent on multiple, dynamic factors, such as the place you’re visiting,
your mood, interests, background etc. Imagine using your favorite geospatial
browser to answer the following question:

“Where are the nearest buildings designed by Frank Lloyd Wright, typical of
the Prairie School movement?”

GEM (Geospatial-semantic Exploration on the Move) is the very first geospatial
exploration tool that offers a rich mobile experience and overcomes the
abovementioned limitations of conventional solutions by exploiting all strengths
of the Linked Open Data paradigm, such as built-in semantics in open,
crowd-sourced knowledge found in publicly available sources, such as DBpedia,
loaded and filtered on-demand, according to user’s needs, in order to prevent
maps from overpopulating.

GitHub: https://github.com/GeoKnow/GEM


Really nice:

Video: https://www.youtube.com/watch?v=KoAdrNiDljU

Can I find this app by searching the android play store?



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