EyePlorer developed by German company Vionto.com visualizes knowledge graphs (k-graphs) derived from Wikipedia content that can be interactively explored.
The knowledge graph consists of eyespots representing concepts that are connected to your topic. For better orientation those eyespots are clustered. If you want to know how any eyespot is connected to your topic, just click on it.
Let’s have a look at how it works.
Let’s type [Search engine optimization] – while we type, terms will be suggested to us:
With [Search engine optimization] we get the following eyePlorer (notice green cluster that seems to associate Danny Sullivan with black hat):
If you click on “image search” spot there, you will get a message that explains how “image search” is connected to your query.
SEO is one of the key Web Marketing activities and can target different kinds of searches, including image search, local search, and industry-specific vertical search engines.
You can click “more” to get more facts about each eyespot. Also, try double-clicking on an eyespot and you’ll see which other eyespots it is related to:
Or you can explore two related concepts and see only eyespots related to both of them (for that, drag any eyespot to the red + button in the middle).
You can also exclude any cluster from the eyePlorer by dragging it from the circle.
The fun doesn’t stop here. You can also save notes right from the eyePlorer by dragging the fact to the notepad to the right.
So what does the tool actually do? Most importantly, it implements a different search model (that, again, may change how we understand and implement SEO). What do you think?
Here is a video I found on Youtube on how the tool is going to work:
Many thanks Webnauts to for showing me the tool.
