Mindmeister vs mindomo
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MindMeister extracted the terms of the node that a user last edited or created – typically, a node contains two or three terms.
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Only two companies – MindMeister and Mindomo – implemented such a system to generate user models and display personalized advertisement. The second type of application is a user modelling system. According to MindMeister, around 10% of mind-maps being created by their users are published in the galleries 1.
#MINDMEISTER VS MINDOMO DOWNLOAD#
Visitors of the galleries may search for mind-maps containing certain keywords, and download the corresponding mind-maps. They show thumbnails of mind-maps that users uploaded to the gallery. These galleries are similar to photo galleries. Several mind- mapping tools, for instance XMind and MindMeister, allow their users to publish their mind-maps in so ca lled “mind - map galleries”. The first type of application is a search engine for mind-maps. However, there are two types of information retrieval applications, which utilized mind-maps in practice. To the best of our knowledge, mind-maps have not been researched with regard to infor- mation retrieval or user modelling. There has been plenty of research showing the effectiveness of mind-mapping as a learning tool creating mind-maps automatically from full-text streams and evaluating whether paper-based or electronic mind-mapping is more effective.
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A “circle” on a node indicates that the node has child nodes that are currently hidden.
#MINDMEISTER VS MINDOMO PDF#
A PDF icon indicates a link to a PDF file on the hard drive. We also added a list of relevant conferences, to which we planned to submit the paper. From the root node, child nodes branch to represent each chapter, additional child nodes branch off for each paragraph, sentence and reference. The root node represents the title of this paper. We created the mind-map to represent a draft of this paper.
#MINDMEISTER VS MINDOMO SOFTWARE#
Figure 1 shows an example of a mind-map, created with our mind- mapping software Docear (). As such they are often used for tasks including brainstorming, project management and document drafting. Mind-maps are typically used to develop ideas and organize information. We believe that researchers will find this new research field rewarding, and the results will enable developers of mind-mapping tools to devise novel services for their millions of users. We hope to stimulate a discussion with this paper that encourages IR and user modelling researchers to further analyze the potential of mind-maps. All estimates in this paper are based on data collected from our own mind-mapping software Docear, Google Trends and the mind- mapping tools’ websites. To achieve our objective, we 1) analyzed the extent to which mind-mapping is used, to decide if mind-map based IR is a field worth researching, 2) brainstormed how mind- maps might be utilized by IR applications, 3) analyzed the feasibility of the ideas, and 4) implemented a prototype of the most promising idea, which – to anticipate the result – is a recommender system that creates user models based on mind-maps. Consequently, our research objective was to identify, how mind-maps could be used to empower IR applications. We propose that mind-maps are an equally valuable source for information retrieval as are social tags, emails, research articles, etc. For instance, emails are intended as a means of communication, but Google utilizes them for generating user profiles and displaying personalized advertisement social tags can help to organize private web-page collections, but search engines utilize them for indexing websites research articles are meant to publish research results, but they, or more precisely their references, are utilized to analyze the impact of researchers and institutions. retrieval (IR) applications utilize many items beyond the items’ original purpose.