Exploring the Web in 3D
By OlegI think that the Web provides an endless opportunity to explore the world of information. So, I’m constantly looking to explore new ways to use 3D to search better and faster for information, be able to differentiate information in 3D, and see better results. Also, you have to admit, 3D is a cool technology, and I’m always finding new ways to use 3D views to present information.
Yesterday, I had the chance to experiment with 3D browsing or search software (I’m not really sure how to classify this software) from Tianamo search beta. Actually, the first impression was from Tianamo Youtube video. I was impressed.
I made few attempts using beta tools (http://search.tianamo.com) and tried to use my top regular searches for Product Lifecycle Management, 3D CAD, CATIA. I put a few of the results in the pictures below.
Search fro 3D Live
Search for 3D CAD
Search for CATIA
I hope that you liked this and would be interested in hearing your feedback. . You can try this interesting tool by yourself by registering on http://search.tianamo.com. I will be watching this, exploring tools and other 3D information, and will continue to post my results on 3D perspectives.
Oleg
4 responses to “Exploring the Web in 3D”
June 22nd, 2009 at 3:57 pm
Tianamo is gorgeous Oleg! Makes me think my old topographic map reading skills may come to use in some unexpected places.
http://en.wikipedia.org/wiki/Topographic_map
June 22nd, 2009 at 4:00 pm
Kate, This is what I found – many people are very comfortable with topographic associations when they work with data. -Oleg.
June 22nd, 2009 at 5:17 pm
Very impressive and promising, but to what correspond the three dimensional axises?
I am not sure I understood that!
June 22nd, 2009 at 7:42 pm
Jovan, The idea behind is to interact between high-dimensional structured (eg. stock tickers, etc.) & unstructured data (eg. web search results). The current beta shows how results,parsed from Yahoo BOSS search, are mapped as dots on a flat surface, with distance denoting similarity (by text analysis algorithms). the landscape morphs in a 3D landscape as common subtopics appear as mountains. the closer the mountains, the greater the similarity between the topics they represent. I cannot say that I’m completely sure about how it useful, but looking for some feedbacks. As I mentioned, should be better way to browse data, but nobody knows how to do it… yet. -Oleg
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