Comments for ContextExplorer for MindManager® from Mindjet® at http://www.tabletpccorner.net , comment 1 to 4 out of 4 comments http://www.tabletpccorner.net Sat, 05 Jul 2008 19:40:18 +0100 FeedCreator 1.7.2 http://www.tabletpccorner.net/content/view/1909/27/#comment-3379 [quote]Il permet de prendre toute source documentaire et de [/quote] Mince il manque pas un bout de la news là ? C'est assez frustrant je dois dire, là je sais juste que ce génial logiciel permet de... de.... ben je sais pas ce qu'il fait en fait :D - Shaffan Thu, 01 Jan 1970 01:00:00 +0100 http://www.tabletpccorner.net/content/view/1909/27/#comment-3380 effectivement y a eu un bug lors de l'enregistrement la news ce week end; je vais corriger - HPClean Thu, 01 Jan 1970 01:00:00 +0100 http://www.tabletpccorner.net/content/view/1909/27/#comment-3381 Je l'ai installé et testé. Il fonctionne très bien sous WORD 2003. XP Pro (Français) Actuellement, le programme -anglais- ne donne aucune map. Il se situe un peu dans le type &quot;Copernic Summarizer&quot; pour les textes à résumer, mais est quand même différent en ce qui concerne la décomposition du texte dans ses branches principales (structure) et les infos fournies sur cette dernière. Il décompose aussi des pages de site WEB au niveau de leur architecture. Je suis évidemment très curieux de connaître son travail avec MManager 6. Autre chose : l'équipe de développeurs basée à OTTAWA est hyper sympa (anglophone). Vous pouvez suivre sur le blog de MindManager : mindmanager@yahoogroups.com; où intervient Henry Lewkowicz [henry@model.ca], développeur. L'équipe accueille avec passion tous les commentaires. Michel. - Anonymous Thu, 01 Jan 1970 01:00:00 +0100 http://www.tabletpccorner.net/content/view/1909/27/#comment-3382 Quelques explications données par le développeur Roger Cavanagh asked me for a comment on an article by Douglas Woods posted on Ecademy: “What is Google Concept?” ( <a href="http://www.ecademy.com/node.php?id=62147" title="http://www.ecademy.com/node.php?id=62147" target="_blank">http://www.ecademy.com/node.php?id=62147</a> ). The article was pointed by Martin Silcock. In response to Roger’s invitation to comment on concept mining let me address 2 issues for discussion and probing the soundness of the product directions offered as it applies to the mind mapping discipline: a) What is the current ContextExplorer capability for concept and text mining, and b) What we propose to provide in short term in relation to full integration with MindManager and provision of Idea Library. All comments will be received with gratitude. ContextExplorer today: Analysis Key phrases and summaries - ContextExplorer extracts key phrases (concepts, topics, ideas, subjects, thoughts) and produces concise summaries Searches - a key phrase, or better, a combination of key phrases, can be instantly submitted to search engines: Google, MSN and AltaVista Parsing search results - the search results can be parsed by ContextExplorer to extract the key phrases and summarize the search results Relevance ranking - Key phrases are ranked by relevance to provide quick impression of document subject matter Context Spotlight - by selecting a key phrase you can identify related key phrases and see the original content extracts and learn more about the content surrounding your topic selection. Focal point (topics) – constrain the view of summaries to the central key phrases of interest Noise elimination – remove from view irrelevant key phrases and content GoPhrases – automatically filter documents through a set of key phrases Promote / Demote key phrases – fine tune your view for better focus Variable length summaries – decide what level of detail suits you Work under development: Idea Library and ContextExplorer – MindManager integration The Idea Library serves as a personal and work group memory of key phrases, summaries, document references, and relationships The Idea Library is integrated with ContextExplorer and MindManager Idea Library Idea Index - organizes those key phrases that are considered to represent the most significant topics within your search. Automated maintenance – intelligent categorization of incoming key phrases and summaries Knowledge discovery – cross-reference key phrases and summaries…connecting the dots Smart look-ups - dynamically organize, present, and customize information for particular tasks and personal knowledge expertise requirements. Context views – provide multiple perspectives of key phrases and summaries Thematic content generator – on demand produce relevant content by selecting key phrases and summaries Technology: Natural Language Processing, Statistical Processing, Microsoft Integration · Natural Language Processing is used to identify phrases in text. · Statistical Processing is used to prioritize phrases and excerpts. · Ontology representation is used to model the domain and document meaning · Genetic algorithms to improve key phrase identification performance · Multilingual – works in 6 languages · Microsoft Integration is achieved by integrating the technology as an add-in for Microsoft Word. Looking forward to your thoughts. Best regards, Henry - Anonymous Thu, 01 Jan 1970 01:00:00 +0100