Context Organizer for MindManager can be used to create visual summaries of any document or web page – right from within MindManager (see: Context Organizer post).

Included within the add-in is an options dialogue that can be used to create summaries with more or less elements and whether selected elements are displayed expanded or not.

image The basic option to consider is the size and scope of the summary produced based on keywords- options for this are: total number of keywords to be included; defining how many keywords are to be considered as “top” keywords (the default is 3); how many keywords of lesser importance are to be included as “other” (this is set automatically, being the difference between the total and top keywords).

imageThe next group of options determine whether grouping branches are inserted into the map and whether these groups are to be displayed initial either expanded or collapsed.

The best way to explain what the different combinations of these options result in is to illustrate with a few examples.  Here a Wiki page on business analysis is used as the summarised article.

1. All Grouping Branches Selected, Expand Only “Top” Keywords

default context


default context map

2. All Grouping Branches Selected, Expand “Top” and “Other” Keywords

context expand other


context expand other map

3. No Context Branch Group – Summary and Keywords Connected Directly to the Central Topic

context no context 


context no context map

 4. Only “Summary” Branch Group Selected, No Keywords Expanded

context no headers


context no headers map

As you can see, this last set of options attaches all the keywords and the summary grouping branch directly to the central topic.  Depending on the topic layout options you have selected in MindManager (right map, tree, split tree and so on), the keyword topics will be displayed in the relevant map layout.  Here the layout is “Map” giving the basic mind map radiant layout. 

To learn more about Context Organizer for MindManager visit



WikiSummarizer from Context Discovery is a web-based application that specialises in summarising Wikipedia articles.  Aimed at anyone who needs to learn, understand or write about topics, the application will benefit such diverse roles as researcher, student, writer, journalist and blogger.

“Summarization” is the process by which a piece of text, document or article is analysed to produce a list of keywords and the more significant text extracts associated with these keywords.image




The immediate benefit from a summary comes from a review of the keywords, giving the reader instant insight into the substance and meaning of the text.  Further review of the extracted sentences adds to this initial insight.

Wikipedia contains almost 4 million articles, I’m told.

WikiSummarizer has summarised almost all of these articles and holds them in a knowledge database that can be searched.  It is possible to enter a keyword and have WikiSummarizer return a list of potentially the most relevant articles.  Alternatively, one can use a keyword to find and select a Wikipedia article which is then presented in summary form in the browser.  In either instance, the summaries can be downloaded to either word processing or mind mind mapping applications for further review and editing.

To illustrate how WikiSummarizer works, the following screen shots follow the process of finding a summarised article and downloading it to Word and to Mind Manager. 

First let’s look for summarised articles on “project planning”.  As the keywords are entered, WikiSummarizer presents possible matches in a drop down list for selection.

Wiki search

Next, select the relevant item from the drop down list and search.  WikiSummarizer returns a list of summarised articles.

Wiki search result

To view a summary, click on the “Link Summary” link for the article of interest.  The summary is presented as a list of keywords, each of which has listed under it sentences most relevant to that keyword.  The list is expandable and collapsible to make reading easier.

Wiki search summary

You could print the summary from the browser or download it either as a Rich Text File (RTF) or MindJet MindManager file.

Wiki search summary rtf


Although the technology demonstrated is aimed at Wikipedia it can work with other information sources such as a web site, SharePoint, corporate document repository and content management system.

To find out more visit the Context Discovery blog where you can see more examples.

Context Organizer

June 4, 2010

Context Organizer has been recommended to me in the past by several colleagues and I have never found the time to investigate this summarising tool in any detail.  Until now.

I don’t think I ever really “got” summarising tools before – I seemed to be concerned with what might be being left out.  Having experimented with Context Organizer for a while now, this view is changing.  Undoubtedly the text summary is useful but for me the key to this lies with the keywords.

image Prompted by several postings by Andrew Wilcox on the Applications of MindManager Blog, it occurred to me (Doh!) that scanning the list of keywords gives a quick way into the text and easily highlights what was important to the author.  The text can then be explored via these keywords – helping you to focus on what attracts your interest and helping you navigate the text in a non-linear way.  All this, I have found, provides a faster understanding of the text and greater retention of the key themes.

Users of Context Organizer will know that text can be analysed in the software’s own window and also from within MindManager if the text is linked to a topic as an attachment or hyperlink.  Both methods provide great ways of exploring the text.  Using the Context Organizer window allows the text to be searched and filtered by selecting or checking the keywords once the initial analysis is complete. 

imageUsing the MindManager approach, the results are presented as a mind map with the keywords as topics. 

Context Organizer links sentences containing the keyword as sub-topics.  MindManager’s drag and drop tools allow the summary and analysis to be moved around and presented more visually. 

New links between text can be added as relationships, icon markers can be added and the map filtered using these.



The more I use the tool the more I get from it – it is beginning to change the way I study documents.  There is more than one way of absorbing the contents of a piece of text – and they are not all linear.  Happy reading.

p.s. Why not pop over to Andrew Wilcox’s blog and see his analysis of the UK election and the coalition government’s initial statement.

imagep.p.s. I performed a quick summary of this posting using Context Organizer.  The three top keywords were: “keywords”; “Context Organizer”; “summarising”.

The next 6 keywords were:

A pretty clear summary of what Context Organizer is about, I think.