3 projects for "java examples" with 2 filters applied:

  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • 1
    S-Match

    S-Match

    S-Match is a semantic matching framework.

    S-Match is a semantic matching framework. S-Match takes any two tree like structures (such as database schemas, classifications, lightweight ontologies) and returns a set of correspondences between those tree nodes which semantically correspond to one another. S-Match contains implementations of the semantic matching, minimal semantic matching and structure preserving semantic matching algorithms. S-Match applies as a solution in many fields, including: information integration,...
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  • 2
    Common utility code to support a number of projects. Examples of the supported areas: DTOs, ACID supporting attributes and object graph, simple XML interpretation, uisupport, remoteing support, ...
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  • 3
    Centre d'informations (CI)

    Centre d'informations (CI)

    Not a search engine but navigation routes within a research domain.

    The Centre d'Informations (CI) aim is to articulate and display whatever type of knowledge available on a given field (see screenshots examples for various fields). The software is built as a network of information articulated using concepts (figure). The website should not be understood as a conventional search engine but as different ways to navigate within this knowledge (information and concept) network. Each information is thoroughly formalized; the aim is not exhaustivity or...
    Downloads: 0 This Week
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