Scrapple 1 3 1 – Free Form Mind Mapping Toolkit

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Monosnap 3 5 8 Cm Scrapple 1 3 1 – Free Form Mind Mapping Toolkit Tune Sweeper 4 22 2 Qr Factory 2 9 8 – Professional Qr Code Creator Jixipix Spectral Art 1 1 4 0 A Text 2 35 5th Screenium 3 2 1 Download Free Lucid 1 0 4 Download Free Aiseesoft Mac Video Downloader 3 3 16 Full Moom 3 2 5 Download Free. The Simplest Mind Map Maker. Zen Mind Map is the simplest online, free software to create mind maps and brainstorm. With a minimal and intuitive user interface, creating mindmaps or concept maps with our online, free mind map maker and concept map maker is very easy and delightful. Our online mind mapping software also has Export and Publish. Scrapple 1 3 1 – Free Form Mind Mapping Toolbox What is Mind Map? Mind mapping can be used to organize large amounts of information, combining spatial organization, dynamic hierarchical structuring and node folding.

What is a Mind Map?

Mind map (or concept maps, brain mapping, thinking maps) is a type of diagram used to visually organize and present information. Mind mapping can help organize one's thoughts, breakdown a complex subject, or create a plan. Because of its graphic representation and typically succinct form, mind maps help viewers access information in a quick and clear way. For capturing one's thoughts quickly, a mind map may be the best solution.

Components of a Mind Map

Mind maps have a structure similar to a tree. Each mind map has one Central Node (or Central Topic). Stemming from the central node are branches (just like the branches of a tree!). In turn, each branch connects the Central Node with Subtopics. Each node can have a Sibling Topic or a Subtopic. Every node may also contain icons, external links, or images.

The Simplest Mind Map Maker

Zen Mind Map is the simplest online, free software to create mind maps and brainstorm. With a minimal and intuitive user interface, creating mindmaps or concept maps with our online, free mind map maker and concept map maker is very easy and delightful. Our online mind mapping software also has Export and Publish features, which allow users to easily present and share their work.

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Complementary Knowledge Analysis / Mapping Process

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Proposal for Dropping Knowledge Event (Berlin, 9 September 2006) by Anthony Judge and Nadia McLaren. Also published in modified form in Statistics, Visualizations and Patterns (Vol 5 of the Yearbook of International Organizations, K G Saur Verlag, 6th edition, 2006/2007, as section 10.1.3)

Context

The following proposal is framed as complementary to the processes of the event in which 112 people (the 'free voices'), seated in a circle, will respond individually to 100 questions. As currently envisaged by dropping knowledge, individuals will be simultaneously filmed (individually) and their comments will be (individually) recorded for dissemination, storage and subsequent transcription - potentially using webcasting and other techniques. The event as a whole will also be filmed. The results will also be reproduced and edited in a variety of ways for subsequent distribution

Proposal

The following proposal seeks to make use of the output audio feed from each 'free voice' - their answer to the questions -- and to structure the concepts therein on-the-fly into a variety of knowledge maps of different styles. The maps would be made available, as they develop, to those at the event in Berlin (whether individually or collectively) and elsewhere.

Although not the focus of this proposal, it is recommended that consideration be given to:

• real-time transcription techniques -- computer aided transcription ('CAT') technology to deliver text to computer screens within a few seconds of the words being spoken - notably as used at ICANN meetings. This facility could facilitate the task of concept analysis.

• learnings from a process in which each participant formulated a single question for consideration by the others, enabling the pattern of relationships between the question themes and the participants to be analyzed and visualized (seeMetaconferencing: Discovering people / viewpoint networks in conferences, on the initiative of Stafford Beer and Gordon Pask, on the occasion of a conference on Improving the Human Condition: Quality and Stability in Social Systems of the Society for General Systems Research (SGSR) [more]

Process

1. Concept analysis: Output audio feed of each 'free voice' is fed to a 'concept analyzer', namely:

1. one or more individuals (ie an analyzer team for each free voice, as is done for consecutive interpretation).
2. concept analyzer will have skills analogous to those of a minute writer, exemplified by the conceptual skills used in mind mapping on-the-fly
3. the concept analyzer
1. isolates concepts enunciated by the speaker, types them into a simple form in which they are sequentially numbered
2. makes links between the concepts by referring to them by number (this could be done by a second member of the team)
4. concept analyzer will not need to be in Berlin, but the work will preferably need to be done real time (and preferably not delayed for the text transcription)
5. the form is periodically saved

2. Mind / Concept mapping: The analyzed text is sent as a formatted text feed to mind-map / concept map makers (note the distinction between these techniques):

1. there are various possibilities for the transfer of the concept-analyzed relational text
1. analyzed feeds from all 112 could be transferred to the complete set of mind-map specialists such that every feed was reformatted/visualized in every mind map
2. analyzed feeds from some of the 112 could go to all mind map specialists
3. analyzed feeds could go to selections of mind-map specialists
4. analyzed feeds, for a given theme or cluster of themes, could go to mind map specialists
5. even more selective processes could be envisaged
2. mind map makers could:
1. self-select as specialists in the use of particular packages or
2. be subsidized/appointed by manufacturers of the packages - encouraged to collaborate by the visibility offered to their products
3. the analyzed feed could also be provided to other interested parties willing to process some or all the output in mind map packages of their preference
1. for their personal interest (possibly for a fee)
2. for submission back to dropping knowledge as their own best representation of the event
4. an alternative to the use of computer-aided packages is free-form mind-mapping by people with artistic talents (cf Creative Connection)
5. another alternative is the use of 3D mind-mapping involving the use of virtual reality techniques, integrating video clips into the virtual world (cf Mind Scene)

NB: Mind mapping packages that can import a formatted feed and self-organize visually (with limited need for manual tweaking) would have an advantage - notably in terms of cost, time and expertise required. In practice a distinction may be made between mind mapping (based on radial hierarchical and tree structure representation), concept mapping (knowledge mapping) that is not restricted to radial/hierarchical representation), and network visualization (which is the generic graph mapping technique underlying both). For commercial reasons, some less restrictive concept mapping packages are marketed as mind mapping packages.

3. Harmonizers: Depending on resources, a higher level of editing and integration could be allocated to specialists in terminology and language, possibly aided by text analysis / summarization packages (see below).

Text phrases versus Concepts: Concern might be expressed as to whether what are isolated by the analyzers as concepts are in fact concepts or more to be understood as phrases that do not merit distinction as 'concepts'. Of particular concern is the consequence of merging the analyzed feeds from different analyzers (with different styles and preferences) to create a common global map. Another concern is whether related concepts can be appropriately associated. It is possible that the text could be automatically processed to provide an additional set of 'background' implicit relations based on use of common terms. Facilities could be offered to merge or separate concepts possibly to be understood as duplicates in this way.

NB: Mind mapping packages that can import a formatted feed and self-organize visually (with limited need for manual tweaking) would have an advantage - notably in terms of cost, time and expertise required. In practice a distinction may be made between mind mapping (based on radial hierarchical and tree structure representation), concept mapping (knowledge mapping) that is not restricted to radial/hierarchical representation), and network visualization (which is the generic graph mapping technique underlying both). For commercial reasons, some less restrictive concept mapping packages are marketed as mind mapping packages.

3. Harmonizers: Depending on resources, a higher level of editing and integration could be allocated to specialists in terminology and language, possibly aided by text analysis / summarization packages (see below).

Text phrases versus Concepts: Concern might be expressed as to whether what are isolated by the analyzers as concepts are in fact concepts or more to be understood as phrases that do not merit distinction as 'concepts'. Of particular concern is the consequence of merging the analyzed feeds from different analyzers (with different styles and preferences) to create a common global map. Another concern is whether related concepts can be appropriately associated. It is possible that the text could be automatically processed to provide an additional set of 'background' implicit relations based on use of common terms. Facilities could be offered to merge or separate concepts possibly to be understood as duplicates in this way.

1. to provide a global map of the implicit conceptual relationships
1. between all the participants for all themes/questions together
2. between all the participants for some themes/questions together
2. again this could be done real-time -- but remotely if convenient
3. results could be fed back to Berlin in real time to give visual feedback on the interrelationship between the 100 themes dealt with by the 112 as time evolved
4. the global visualization could also be disseminated (webcast) as well as being incorporated into any video record - also as a speeded up time-frame sequence

Issues

1. Logistics: The proposal is based on using an audio feed as effectively as possible -- are the logistics too complex? Here are some further considerations:

1. where there are resources to analyze 112 free voice feeds, concept analysis can be done professionally, but it could also be done as an exercise by students in communication schools - or both
2. if deadlines for some are not respected, then the results are simply delayed for those cases
3. a similar attitude applies to input into mind maps and any tweaking considered desirable
4. basically the philosophy is extremely pragmatic-- if and where it works this is fine, but if it does not, it will simply not be done real time, or it will be subject to (later) revision

2. Comprehensibility preferences: It is clear that different people have different preferences for different modes of communication. Formz pro 8 6 – solid and surface modeler studio. This applies as much to voice vs image as to different styles of voice or different styles of image. Such preferences also apply to different styles of mind map.

• it is not expected that all mind maps from all 112 will be of equal interest to all who are interested in the event (including those questioned) - but there is the opportunity to have the 'best maps' selected by a jury and given greater publicity
• some maps of some of the 112 will be of special interest - notably to those questioned
• merged maps of all participants for some thematic clusters only may be of interest, especially as the 112 complete their responses to thematic clusters (and can be grouped)
• ideally users would be able to switch between mind maps, much as they switch between TV channels. This might even apply to the 112 who individually might choose to switch between mind map representations (on laptops) of their individual responses (much as people at multilingual events can switch between language channels)
• some may have no interest in mind map representations at all -- or may prefer to have them recorded or printed (as posters) for later examination, as mementos or gifts

3. Funding: The main cost is associated with the concept analysis - if it is not done as an exercise by communication students. This could be subsidized or associated with revenue generated by the maps, or by subsidies from the mind map package manufacturers. As an experiment in new approaches to concept capture and organization at meetings, it is possible that EU meeting support funding could be available (though time is short)

4. Languages: Assuming the 112 will not necessarily be responding in English, and the responses cannot necessarily be translated into all the languages desired, the construction of mind maps offers a form of common visual language through which patterns of relationship between concepts can be compared

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Resources

Stephen Davies, Javier Velez-Morales and Roger King. Building the Memex Sixty Years Later: Trends and Directions in Personal Knowledge Bases. 2005

Resources on mind mapping packages, include:

• Checklists:
• FreeMind (http://freemind.sourceforge.net/): free, opensource
• MindManager (http://www.mindjet.com/eu/): commerical, Windows
• MindMapper (http://www.mindmapper.com/)
• VisualMind (http://www.visual-mind.com/)
• MindGenius (http://www.mindgenius.com/): commercial, Windows
• BrainMine (http://www.neuralmatters.com/): commercial, Windows
• NovaMind (http://www.nova-mind.com/): commercial, Mac
• DeepaMehta (http://www.deepamehta.de/install/client/): networked semantic desktop
• MyMind (http://www.sebastian-krauss.de/software/), shareware, Mac
• i2Brain (http://www.i2brain.com/) Java
• ConceptDraw MindMap (http://www.conceptdraw.com/en/products/mindmap/main.php): Mac Windows
• Inspiration (http://www.inspiration.com/home.cfm): commercial, crossplatform
  

Resources on concept mapping include:

• Concept mapping website (http://ltsnpsy.york.ac.uk/conceptmapping/conceptmapping/html/software.html)
• ConceptMapping Wiki (http://wiki.conceptmapping.org/Welcome/WebHome)
• Knowledge Manager (http://www.knowledgemanager.it/KM-Hyperseries-eng.htm): commercial, PC, Mac
• Decision Explorer (http://www.banxia.com/): commercial, PC
• The Brain (http://www.thebrain.com./): commercial, PC

Resources on network visualization include:

• Network visualization resources
  • http://www.caida.org/funding/internetatlas/viz/viztools.html)
• Network Vizualization community (http://networkviz.sourceforge.net/)
• Graph Interface Library-GINY (http://csbi.sourceforge.net/)
• TouchGraph (http://www.touchgraph.com/index.html)
• HyperGraph (http://hypergraph.sourceforge.net/)
• 3D-VRML (http://vrmlgraph.i-scream.org.uk/)
• WilmaScope is a Java3D application which creates real time 3d animations of dynamic graph structures (http://www.wilmascope.org/)
• Pajek: large network analysis (http://vlado.fmf.uni-lj.si/pub/networks/pajek/)
• NetDraw (http://www.analytictech.com/netdraw.htm)
• Netmap (http://www.netmapanalytics.com/; http://www.goldenmean.com.au/Documents/Netmap%20Overview%20White%20Paper%20v2.pdf)
• prefuse (http://prefuse.sourceforge.net/): a Java-based toolkit for building interactive information visualization applications.
• Walrus (http://www.caida.org/tools/visualization/walrus/): is an opensource tool for interactively visualizing large directed graphs in three-dimensional space

Scrapple 1 3 1 – Free Form Mind Mapping Toolkit Online

Use of text analysis / theme abstracting packages: To alleviate the task of the concept analyzers, consideration could be given to the use of packages such as: Pulltube 0 11 7.

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• Checklist of Text Summarization Projects (http://www.ics.mq.edu.au/~swan/summarization/projects_full.htm)
• Examples:
• Libextractor (http://gnunet.org/libextractor/) extract meta-data from files of arbitrary type
• Automatic Keyword Extraction process (AKE)
• The iJoomla Metatag Generator, which supports current SEO efforts, manages metatags and generates metatag descriptions and keywords.
• Michael J. Giarlo: A Comparative Analysis of Keyword Extraction Techniques (http://staff.washington.edu/leftwing/papers/596.pdf)
• Marko Grobelnik, Dunja Mladenic: Visualization of News Articles
• NewsMap (http://www.marumushi.com/apps/newsmap/index.cfm)
• Ten By Ten (http://www.tenbyten.org/10x10.html)
• Blinkx .TV (http://www.blinkx.tv/): searching 1 million hours of TV
• etc