Merge branch 'master' of https://github.com/pkraker/open-discovery

OpenKnowledgeMaps · Feb 12, 2017 · 9424f85 · 9424f85
2 parents 8793dce + 4842e6e
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diff --git a/images/example_map.png b/images/example_map.png
diff --git a/images/examplemap.png b/images/examplemap.png
diff --git a/roadmap.md b/roadmap.md
@@ -10,7 +10,7 @@ Version: 2.0 beta (Update 2017)
 
 Open Knowledge Maps is an attempt to solve these challenges by providing an open exploration and discovery system that leverages the emerging digital open science ecosystem. We propose to use knowledge maps, a powerful tool for exploration and discovery. **Knowledge maps provide an instant overview of a field by showing the main areas of the field at a glance, and papers related to each area** (see the example map below). This makes it possible to easily identify useful, pertinent information.
 
-![](images/example_map.png)
+![](images/examplemap.png)
 
 ## Vision
 
@@ -85,4 +85,4 @@ Openness will also play an important role in all social activities, which will b
 * **If we build it, will they come?** We already see considerable interest in the project (see above). We will also follow best practices, human-centered design and expanding our 
 * community of advisors and enthusiasts to guide us in the development. 
 * **Technical challenges related to building a large-scale system:** It will be crucial to address scalability from the start and build it into the core architecture. We will use a distributed agile process and adopt strategies of successful open source projects. 
-* **Not enough open data available or low data quality:** Currently, we assume that more open data and content will be published. We have shown in the past that we are able to create meaningful knowledge maps from very few data points and we are planning to use context information to improve records of low quality.
+* **Not enough open data available or low data quality:** Currently, we assume that more open data and content will be published. We have shown in the past that we are able to create meaningful knowledge maps from very few data points and we are planning to use context information to improve records of low quality.