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    OntoPortal Appliance

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    Deployed on AWS
    Web-based application and API for accessing and sharing ontologies

    Overview

    The OntoPortal Virtual Appliance contains a pre-installed, pre-configured version of commonly-used open source OntoPortal software running on a Linux operating system.

    Highlights

    • Ontology Repository
    • Includes Web UI and Rest API Services

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Deployed on AWS
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    Pricing

    OntoPortal Appliance

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    AI Insights

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    Dimensions summary

    This listing is free to use, so the software itself carries no license charge. You pay only for the AWS EC2 instance you choose to run it on, billed by the hour. Each dimension names a specific instance type, from small general-purpose sizes to memory-optimized, compute-optimized, and high-memory metal instances with several terabytes of RAM. Larger or more specialized instances handle bigger ontology repositories and heavier query loads. Pricing scales with the instance size and family you select, matching your compute, memory, and storage needs. You are free to pick the instance that fits your workload.

    Top-of-mind questions for buyers

    The software carries no license fee. The OntoPortal Alliance uses a free licensing system to trace deployments. Your charges come only from the AWS EC2 instance you run it on, billed by the hour for the instance type you select from the listing.
    Since the software is free, there is no per-hour software charge to accrue. Hourly EC2 charges apply only while the instance runs. A stopped instance stops accruing compute charges, though AWS storage fees for attached volumes may still apply until you remove them.
    Match the instance family and size to your workload. Memory-optimized instances suit large ontology repositories and triple store backends. Compute-optimized instances handle heavy query and search loads. General-purpose sizes fit smaller catalogues. High-memory metal instances with terabytes of RAM support the largest deployments.
    ontoportal.org+1
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    Vendor refund policy

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    Once the instance is running, enter the public DNS provided by Amazon into your browser to access OntoPortal web interface. The default application administrator is 'admin' and the initial password is the Instance ID. You can also SSH to the machine using the username 'ubuntu' and your Amazon private key.

    Admin guide can be found at https://ontoportal.github.io/documentation/administration 

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Customer reviews

    Ratings and reviews

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