- From: Joshua Lieberman <jlieberman@tumblingwalls.com>
- Date: Tue, 9 Jun 2015 10:13:45 -0500
- To: Jeremy Tandy <jeremy.tandy@gmail.com>
- Cc: "Simon.Cox@csiro.au" <Simon.Cox@csiro.au>, "public-sdw-wg@w3.org" <public-sdw-wg@w3.org>
- Message-Id: <A8940971-0F5D-46C7-BAE3-8291EAECA968@tumblingwalls.com>
This issue of personal geographic context has been considered in some detail for augmented reality content discovery (http://ar-discovery.wikia.com/wiki/AR_Discovery_Wiki). AR is even more sensitive to content overload than maps. Josh Joshua Lieberman, Ph.D. Interoperability Engineering Without Barriers jlieberman*at*tumblingwalls*dot*com +1 (617) 431-6431 > On Jun 9, 2015, at 09:49, Jeremy Tandy <jeremy.tandy@gmail.com> wrote: > > +1 ... nice. > >> On Thu, 4 Jun 2015 at 18:35 <Simon.Cox@csiro.au> wrote: >> On 1 June 2015 at 16:50, W3C Community Development Team <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? >> >> >> >> >> >> >> ---------- >> >> This post sent on Geospatial Semantic Web Community Group >> >> >> >> 'Geospatial-semantic Exploration on the Move' >> >> https://www.w3.org/community/geosemweb/2015/01/24/geospatial-semantic-exploration-on-the-move/ >> >> >> >> Learn more about the Geospatial Semantic Web Community Group: >> >> https://www.w3.org/community/geosemweb >> >> >> >> >> >> >> >> >> This email has been checked for viruses by Avast antivirus software. >> www.avast.com >> >>
Received on Tuesday, 9 June 2015 15:14:23 UTC