What Is This?

This is an HTML+RDFa representation of metadata describing this Web-addressable resource.

Why Is This Important?

The property (attributes and values pairs) links on this page unveil a different kind of link, one which enables the following on HTTP networks such as the Web:

  1. Unambiguous identity for entities (aka. strong identifiers)
  2. Implicit binding of an entity and its metadata via strong identifiers
  3. Multiple metadata representations that enable a variety of presentations
  4. High precision Search and Find queries that simply use the metadata documents (by referencing entity URIs) as the query's Data Source Name

How Do I Discover Alternative Metadata Representations?

This document exposes metadata in the following formats: (X)HTML+RDFa, Turtle, N3, RDF/JSON, or RDF/XML. In the most basic form, you can simply view the (X)HTML source markup of this page, and go directly to the <head/> section which contains a <link/> tag with relationship and type properties for each format.

In addition, you can also explicitly request a desired metadata representation for a given resource via HTTP GET requests that use the entity's strong identifier as the call target.

How Can I Expose My Web Resources In This Manner?

Simply include the following in the <head/> section of your (static or dynamically generated) (X)HTML page:

<link rel="alternate" title="My Data in RDF Linked Data form"
type="application/rdf+xml"
href="http://linkeddata.uriburner.com/about/id/<this-page-URL>/>"

How Is This Related To The Linked Data Meme?

As stated above, the links in this page expose strong identifiers for its primary topic, secondary topics, attributes, and some values. These links, via implicit association, act as conduits to their metadata-bearing documents, in a variety formats.

[OpenLink Software]

About: http://dev.restore.ovi.cnr.it:8890/abo...ity/https/github.com/topics/webbaseml

An Entity of Type : Message, from Data Source : https://github.com/topics/webbaseml, within Data Space : dev.restore.ovi.cnr.it:8890

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  • webbaseml · GitHub Topics · GitHub
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      injamul3798 / Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online

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      Our web-based diabetes prediction system utilizes machine learning algorithms to analyze various health indicators and predict the likelihood of an individual developing diabetes. By leveraging a user-friendly web interface, individuals can input their health information.

      python machine-learning django django-rest-framework webml webbaseml
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        injamul3798 / Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online

        Star 1
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        Our web-based diabetes prediction system utilizes machine learning algorithms to analyze various health indicators and predict the likelihood of an individual developing diabetes. By leveraging a user-friendly web interface, individuals can input their health information.

        python machine-learning django django-rest-framework webml webbaseml
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      • webbaseml · GitHub Topics · GitHub
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          webbaseml

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          Here is 1 public repository matching this topic...

          injamul3798 / Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online

          Star 1
          • Code
          • Issues
          • Pull requests

          Our web-based diabetes prediction system utilizes machine learning algorithms to analyze various health indicators and predict the likelihood of an individual developing diabetes. By leveraging a user-friendly web interface, individuals can input their health information.

          python machine-learning django django-rest-framework webml webbaseml
          • Updated Feb 12, 2024
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            injamul3798 / Web-ML-Diabetes-Predictor-Empowering-Health-Awareness-Online

            Star 1
            • Code
            • Issues
            • Pull requests

            Our web-based diabetes prediction system utilizes machine learning algorithms to analyze various health indicators and predict the likelihood of an individual developing diabetes. By leveraging a user-friendly web interface, individuals can input their health information.

            python machine-learning django django-rest-framework webml webbaseml
            • Updated Feb 12, 2024
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          type
          • Message
          Subject
          • https://github.com/topics/webbaseml
          container of
          • https://github.com/topics/webbaseml
          schema:mainEntity
          • https://github.com/topics/webbaseml
          primary topic
          • https://github.com/topics/webbaseml
          Alternative Linked Data Views: Facets | iSPARQL | ODE     Raw Linked Data formats: CXML | CSV | RDF ( N-Triples N3/Turtle JSON XML ) | OData ( Atom JSON ) | Microdata ( JSON HTML) | JSON-LD
          This material is Open Knowledge   W3C Semantic Web Technology     This material is Open Knowledge Creative Commons License Valid XHTML + RDFa
          This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License.
          OpenLink Virtuoso version 07.20.3231, on Linux (x86_64-generic_glibc25-linux-gnu), Single Edition