Search Results for "wikipedia"
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Showing 5 open source projects for "wikipedia"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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WikiVis (UM)
Visualization of the Wikipedia network of pages.
This tool provides an interactive visualization of the Wikipedia information space, primarily as a means of navigating the category hierarchy as well as the article network. The project is implemented in Java, utilizing the Java 3D package. This was a student project in 2004-2005 at the University of Macau. This is the code from April 2005 that was finally uploaded to SourceForge in 2012 for archival purposes and to meet the demand from Wikipedia researchers world-wide. -
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GpsPrune is a java application to view and manage coordinate data, eg from GPS units. With it you can load a variety of text and Xml formats, view the data (in 2d and 3d), edit and convert the data, correlate photos and audio, create charts and more.
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The system searches synonyms (and related words) in Wikipedia. WikIDF generates index database of Wikipedia (for Russian, English, and German). The continuation of this project is "wikokit" at code.google.com
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W.H.A.T. is an analytic tool for Wikipedia with two main functionalities: an article network and extensive statistics. It contains a visualization of the article networks and a powerful interface to analyze the behavior of authors.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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WikiVis is a tool to analyze Wikipedia based on several aspects. The main objective is to visualize the conclusions of this examination, which focusses on the editing frequency and relevance of articles and categories as well as the activity of users.
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