### InstallAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents the action of installing software. Use this to indicate a person installing an application.

```json
{
  "@context": "http://schema.org",
  "@type": "InstallAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "MobileApplication",
    "name": "Fitbit"
  }
}
```

--------------------------------

### InstallAction Schema.org Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

Use InstallAction to represent an agent installing a software application. This is useful for tracking software deployment.

```json
{
  "@context": "https://schema.org",
  "@type": "InstallAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "MobileApplication",
    "name": "Fitbit"
  }
}
```

--------------------------------

### OrganizeAction JSON-LD Example (Business)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This example shows John organizing a local business.

```json
{
  "@context": "https://schema.org",
  "@type": "OrganizeAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "LocalBusiness",
    "name": "John's tavern"
  }
}
```

--------------------------------

### Load Schema.org Data Sources

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/scripts/Schema_org_Examples.ipynb

Configures the data source for schema.org terms and examples, and sets up the local environment by cloning the repository if necessary and installing dependencies.

```python
DataSource = "Github:main" #@param ["Github:main", "staging.schema.org", "schema.org"] {allow-input: true}

gitpullrequired = False
if DataSource == "Github:main":
  gitpullrequired = True
  termSource = "default"
  examplesSource = "default"
elif DataSource == "staging.schema.org":
  termSource = "https://staging.schema.org/version/latest/schemaorg-current-http.ttl"
  examplesSource = "https://staging.schema.org/version/latest/schemaorg-all-examples.txt"
elif DataSource == "schema.org":
  termSource = "https://schema.org/version/latest/schemaorg-current-http.ttl"
  examplesSource = "https://schema.org/version/latest/schemaorg-all-examples.txt"

os.chdir("/content")
if not os.path.isdir("lib"):
  !mkdir lib
for path in [os.getcwd(),"lib","/content/lib"]:
  sys.path.insert( 1, path ) #Pickup libs from shipped lib directory

print("Loading schemaorg support libraries ...")  
!(cd lib; curl -s -O https://raw.githubusercontent.com/schemaorg/schemaorg/main/SchemaTerms/sdotermsource.py)
!(cd lib; curl -s -O https://raw.githubusercontent.com/schemaorg/schemaorg/main/SchemaTerms/sdoterm.py)
!(cd lib; curl -s -O https://raw.githubusercontent.com/schemaorg/schemaorg/main/SchemaTerms/localmarkdown.py)
!(cd lib; curl -s -O https://raw.githubusercontent.com/schemaorg/schemaorg/main/SchemaExamples/schemaexamples.py)
!(cd lib; curl -s -O https://raw.githubusercontent.com/schemaorg/schemaorg/main/requirements.txt)

!pip --quiet install -r lib/requirements.txt

from schemaexamples import SchemaExamples, Example
from sdotermsource import SdoTermSource
from sdoterm import *
from localmarkdown import Markdown

Markdown.setWikilinkCssClass("localLink")
Markdown.setWikilinkPrePath("https://schema.org/")
Markdown.setWikilinkPostPath("")

if gitpullrequired:
  print("\nPulling data from schemaorg repository...")
  if os.path.isdir("schemaorg"):
    !rm -r schemaorg
  !git clone https://github.com/schemaorg/schemaorg.git
  os.chdir("schemaorg") #If sources are 'default' file paths are relative to schemaorg dir.

print("\nLoading triples file(s)")
SdoTermSource.loadSourceGraph(termSource,init=True)
print ("loaded %s triples - %s terms" % (len(SdoTermSource.sourceGraph()),len(SdoTermSource.getAllTerms())) )

print("\nLoading examples file(s)")
SchemaExamples.loadExamplesFiles(examplesSource,init=True)
print("Loaded %d examples " % (SchemaExamples.count()))

os.chdir("/content") #put us back to a consistent place
```

--------------------------------

### RegisterAction Example: Registering for Comcast

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This example shows a person registering for a specific product, Comcast.

```json
{
  "@context": "https://schema.org",
  "@type": "RegisterAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Product",
    "name": "Comcast"
  }
}
```

--------------------------------

### UseAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents the action of using an item. This example shows using an exercise plan.

```json
{
  "@context": "http://schema.org",
  "@type": "UseAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "ExercisePlan",
    "name": "How to lose 100 calories a day."
  }
}
```

--------------------------------

### Validate Schema.org Examples

Source: https://context7.com/schemaorg/quantity_datatype/llms.txt

Command to run the test harness, which checks if examples validate against the schema.

```python
python software/util/testharness.py
```

--------------------------------

### CreateAction JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

This JSON-LD example represents a CreateAction, specifying the agent, the result (an ExercisePlan), and a participant.

```json
{
  "@context": "http://schema.org",
  "@type": "CreateAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "result": {
    "@type": "ExercisePlan",
    "name": "John's weight loss plan"
  },
  "participant": {
    "@type": "Person",
    "name": "Steve"
  }
}
```

--------------------------------

### LodgingReservation JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This example demonstrates how to structure a lodging reservation. It includes details about the guest, the accommodation, and check-in/check-out times.

```json
{
  "@context": "https://schema.org",
  "@type": "LodgingReservation",
  "reservationId": "abc456",
  "reservationStatus": "https://schema.org/ReservationConfirmed",
  "underName": {
    "@type": "Person",
    "name": "John Smith"
  },
  "reservationFor": {
    "@type": "LodgingBusiness",
    "name": "Hilton San Francisco Union Square",
    "address": {
      "@type": "PostalAddress",
      "streetAddress": "333 O'Farrell St",
      "addressLocality": "San Francisco",
      "addressRegion": "CA",
      "postalCode": "94102",
      "addressCountry": "US"
    },
    "telephone": "415-771-1400"
  },
  "checkinTime": "2017-04-11T16:00:00-08:00",
  "checkoutTime": "2017-04-13T11:00:00-08:00"
}
```

--------------------------------

### WinAction Example (Book)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents an action where an agent wins something. This example shows winning a book.

```json
{
  "@context": "http://schema.org",
  "@type": "WinAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Book",
    "name": "Top 1000 Things You Didn't Know about Nobel prizes"
  }
}
```

--------------------------------

### JSON-LD PrependAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Shows a PrependAction for adding an item to the beginning of a collection. This example prepends a movie to a list.

```json
// John prepended a movie to his movie queue.
{
  "@context": "http://schema.org",
  "@type": "PrependAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Movie",
    "name": "The Internship"
  },
  "targetCollection": {
    "@type": "ItemList",
    "name": "List of my favorite movies",
    "url": "http://netflix.com/john/favorite"
  }
}
```

--------------------------------

### PlanAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

Represents an action taken by an agent to plan something. This example shows planning an exercise plan.

```json
{
  "@context": "https://schema.org",
  "@type": "PlanAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "ExercisePlan",
    "name": "John's weight loss plan"
  },
  "participant": {
    "@type": "Person",
    "name": "Steve"
  }
}
```

--------------------------------

### SomeProducts JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

This JSON-LD snippet represents the same product information as the Microdata example, suitable for structured data.

```json
{
  "@context": "http://schema.org",
  "@id": "#product",
  "@type": "SomeProducts",
  "additionalType": "http://www.productontology.org/id/Printer_(computing)",
  "description": "A fast, great-looking, compact laser printer for your desk.",
  "gtin13": "0012502627104",
  "name": "Brother HL-2230 Compact Laser Printer"
}
```

--------------------------------

### OrganizationRole Example in JSON-LD

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents a role within an organization, such as a member of a sports team with start and end dates.

```json
{
  "@context": "http://schema.org",
  "@type": "SportsTeam",
  "name": "San Francisco 49ers",
  "member": {
    "@type": "OrganizationRole",
    "member": {
      "@type": "Person",
      "name": "Joe Montana"
    },
    "startDate": "1979",
    "endDate": "1992",
    "roleName": "Quarterback"
  }
}
```

--------------------------------

### Clone and Set Up Schema.org Environment

Source: https://context7.com/schemaorg/quantity_datatype/llms.txt

Steps to clone the Schema.org repository, create a virtual environment, and install dependencies.

```bash
git clone https://github.com/schemaorg/schemaorg.git
cd schemaorg
python3 -m venv .venv && source .venv/bin/activate
pip install -r software/requirements.txt
```

--------------------------------

### Example Building Instance (List 3)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/docs/iot-gettingstarted.html

Demonstrates how to create an instance of a building using the BRICK ontology, linking sensors, zones, and equipment.

```turtle
@prefix brick: <http://buildsys.org/ontologies/Brick#> .
@prefix brickframe: <http://buildsys.org/ontologies/BrickFrame#> .
@prefix ex: <http://ucsd.edu/building/ontology/example_building#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
ex:example_building a brick:Building .
ex:zt_sensor_1 a brick:Zone_Temperature_Sensor;
brickframe:isPointOf ex:zone_1, ex:vav_1 .

ex:zone_1 a brick:HVAC_Zone;
brickframe.isLocatedIn ex:example_building
.

ex:vav_1 a brick:VAV;
brickframe:basPoint ex:zt_sensor_1;
brickframe:feeds ex:zone_1.
```

--------------------------------

### OrganizationRole Example in RDFa

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents a role within an organization, such as a member of a sports team with start and end dates, using RDFa.

```html
<div vocab="http://schema.org/" typeof="SportsTeam">
    <span property="name">San Francisco 49ers</span>
    <div property="member" typeof="OrganizationRole">
        <div property="member" typeof="http://schema.org/Person">
            <span property="name">Joe Montana</span>
        </div>
        <span property="startDate">1979</span> 
        <span property="endDate">1992</span> 
        <span property="roleName">Quarterback</span>
    </div>
</div>
```

--------------------------------

### OrganizeAction Example (Business)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Demonstrates organizing a local business, detailing the agent and the business object.

```json
{
  "@context": "http://schema.org",
  "@type": "OrganizeAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "LocalBusiness",
    "name": "John's tavern"
  }
}
```

--------------------------------

### Event JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This JSON-LD snippet represents an Event, including its name, location, offers, and start date. The location is detailed as a Place with a PostalAddress.

```json
{
  "@context": "https://schema.org",
  "@type": "Event",
  "location": {
    "@type": "Place",
    "address": {
      "@type": "PostalAddress",
      "addressLocality": "Denver",
      "addressRegion": "CO",
      "postalCode": "80209",
      "streetAddress": "7 S. Broadway"
    },
    "name": "The Hi-Dive"
  },
  "name": "Typhoon with Radiation City",
  "offers": {
    "@type": "Offer",
    "price": "13.00",
    "priceCurrency": "USD",
    "url": "http://www.ticketfly.com/purchase/309433"
  },
  "startDate": "2013-09-14T21:30"
}
```

--------------------------------

### Event RDFa Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This RDFa snippet marks up an Event, specifying its name, start date, location, and offers. The location is defined as a Place with a PostalAddress.

```html
<div vocab="https://schema.org/" class="event-wrapper" typeof="Event">

  <div class="event-date" property="startDate" content="2013-09-14T21:30">Sat Sep 14</div>
  <div class="event-title" property="name">Typhoon with Radiation City</div>

  <div class="event-venue" property="location" typeof="Place">
    <span property="name">The Hi-Dive</span>
    <div class="address" property="address" typeof="PostalAddress">
      <span property="streetAddress">7 S. Broadway</span><br>
      <span property="addressLocality">Denver</span>,
      <span property="addressRegion">CO</span>
      <span property="postalCode">80209</span>
    </div>
  </div>

  <div class="event-time">9:30 PM</div>

 <span property="offers" typeof="Offer">
 <div class="event-price">
    <meta property="priceCurrency" content="USD" />$
    <meta property="price" content="13.00" />13.00
 </div>
 <a property="url" href="http://www.ticketfly.com/purchase/309433">Tickets</a>
 </span>
</div>
```

--------------------------------

### Build Release Site

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/RELEASING.md

Run the build script to assign example IDs, perform a full site build, and copy release files to the data/releases directory.

```bash
./software/util/buildsite.py --release
```

--------------------------------

### Event Microdata Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This Microdata snippet defines an Event, including its name, start date, location, and offers. The location is further detailed as a Place with a PostalAddress.

```html
<div class="event-wrapper" itemscope itemtype="https://schema.org/Event">
    <div class="event-date" itemprop="startDate" content="2013-09-14T21:30">
        Sat Sep 14
    </div>
    <div class="event-title" itemprop="name">
        Typhoon with Radiation City
    </div>
    <div class="event-venue" itemprop="location" itemscope itemtype="https://schema.org/Place">
        <span itemprop="name">The Hi-Dive</span>
        <div class="address" itemprop="address" itemscope itemtype="https://schema.org/PostalAddress">
            <span itemprop="streetAddress">7 S. Broadway</span><br>
            <span itemprop="addressLocality">Denver</span>, <span itemprop="addressRegion">CO</span> <span itemprop="postalCode">80209</span>
        </div>
    </div>
    <div class="event-time">9:30 PM</div>
    <div itemprop="offers" itemscope itemtype="https://schema.org/Offer">
        <div class="event-price" itemprop="price" content="13.00">$13.00</div>
        <meta itemprop="priceCurrency" content="USD"><a itemprop="url" href="http://www.ticketfly.com/purchase/309433">Tickets</a>
    </div>
</div>
```

--------------------------------

### Serve Schema.org Site Locally

Source: https://context7.com/schemaorg/quantity_datatype/llms.txt

Command to start a local development server for previewing the Schema.org site.

```bash
./software/devserv.py
```

--------------------------------

### Initial Site Build

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SOFTWARE_README.md

Perform an initial build of the Schema.org website locally. This command creates a static image of the site in the 'site' directory.

```bash
./software/util/buildsite.py -a
```

--------------------------------

### Event JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Describes an event with its name, location, start date, and offer details including price and URL. Use this for concerts, performances, or other public gatherings.

```json
{
  "@context": "http://schema.org",
  "@type": "Event",
  "location": {
    "@type": "Place",
    "address": {
      "@type": "PostalAddress",
      "addressLocality": "Denver",
      "addressRegion": "CO",
      "postalCode": "80209",
      "streetAddress": "7 S. Broadway"
    },
    "name": "The Hi-Dive"
  },
  "name": "Typhoon with Radiation City",
  "offers": {
    "@type": "Offer",
    "price": "13.00",
    "priceCurrency": "USD",
    "url": "http://www.ticketfly.com/purchase/309433"
  },
  "startDate": "2013-09-14T21:30"
}
```

--------------------------------

### Help for Build Script

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SOFTWARE_README.md

Display the help message for the buildsite.py script to understand all available options.

```bash
./software/util/buildsite.py -h
```

--------------------------------

### Find Example Text Files

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/scripts/Schema_org_Dashboard.ipynb

This command searches the cloned schema.org repository for files ending in 'example.txt' or 'examples.txt' and lists them. It helps in identifying all available example data files.

```shell
!find . -name \*example\*.txt -exec ls {} \;\n```\n\n```\nOutput:\n./schemaorg/SchemaExamples/example-code/examples.txt\n./schemaorg/data/sdo-bus-stop-examples.txt\n./schemaorg/data/sdo-trip-examples.txt\n./schemaorg/data/sdo-police-station-examples.txt\n./schemaorg/data/sdo-airport-examples.txt\n./schemaorg/data/sdo-train-station-examples.txt\n./schemaorg/data/sdo-videogame-examples.txt\n./schemaorg/data/sdo-book-series-examples.txt\n./schemaorg/data/sdo-automobile-examples.txt\n./schemaorg/data/sdo-invoice-examples.txt\n./schemaorg/data/sdo-creativework-examples.txt\n./schemaorg/data/sdo-itemlist-examples.txt\n./schemaorg/data/sdo-offeredby-examples.txt\n./schemaorg/data/sdo-digital-document-examples.txt\n./schemaorg/data/examples.txt\n./schemaorg/data/sdo-hotels-examples.txt\n./schemaorg/data/ext/pending/issue-2490-examples.txt\n./schemaorg/data/ext/pending/issue-1670-examples.txt\n./schemaorg/data/ext/pending/issue-2192-examples.txt\n./schemaorg/data/ext/pending/issue-894-examples.txt\n./schemaorg/data/ext/pending/issue-2396-examples.txt\n./schemaorg/data/ext/pending/issue-1156-examples.txt\n./schemaorg/data/ext/pending/issue-2384-examples.txt\n./schemaorg/data/ext/pending/issue-1698-examples.txt\n./schemaorg/data/ext/pending/issue-2294-examples.txt\n./schemaorg/data/ext/pending/issue-2543-examples.txt\n./schemaorg/data/ext/pending/issue-1457-examples.txt\n./schemaorg/data/ext/pending/issue-1389-examples.txt\n./schemaorg/data/ext/pending/issue-2173-examples.txt\n./schemaorg/data/ext/pending/issue-447-examples.txt\n./schemaorg/data/ext/pending/issue-1779-examples.txt\n./schemaorg/data/ext/pending/issue-1525-examples.txt\n./schemaorg/data/ext/pending/issue-1050-examples.txt\n./schemaorg/data/ext/pending/issue-2599-examples.txt\n./schemaorg/data/ext/pending/issue-1759-examples.txt\n./schemaorg/data/ext/pending/issue-383-examples.txt\n./schemaorg/data/ext/pending/issue-2482-examples.txt\n./schemaorg/data/ext/pending/issue-1741-examples.txt\n./schemaorg/data/ext/pending/issue-2366-examples.txt\n./schemaorg/data/ext/pending/issue-2421-examples.txt\n./schemaorg/data/ext/pending/issue-2021-examples.txt\n./schemaorg/data/ext/pending/issue-2534-examples.txt\n./schemaorg/data/ext/pending/issue-2405-examples.txt\n./schemaorg/data/ext/pending/issue-2085-examples.txt\n./schemaorg/data/ext/pending/issue-1062-examples.txt\n./schemaorg/data/ext/pending/issue-1950-examples.txt\n./schemaorg/data/ext/pending/issue-2296-examples.txt\n./schemaorg/data/ext/pending/issue-template-examples.txt\n./schemaorg/data/ext/pending/issue-1758-examples.txt\n./schemaorg/data/ext/pending/issue-2109-examples.txt\n./schemaorg/data/ext/pending/issue-2722-example.txt\n./schemaorg/data/ext/pending/issue-2108-examples.txt\n./schemaorg/data/ext/pending/issue-373-examples.txt\n./schemaorg/data/ext/pending/issue-2289-examples.txt\n./schemaorg/data/ext/pending/issue-1423-examples.txt\n./schemaorg/data/ext/pending/issue-2514-examples.txt\n./schemaorg/data/ext/pending/issue-2419-examples.txt\n./schemaorg/data/ext/pending/issue-2083-examples.txt\n./schemaorg/data/ext/pending/issue-1842-examples.txt\n./schemaorg/data/ext/pending/issue-2740-examples.txt\n./schemaorg/data/ext/pending/issue-1045-examples.txt\n./schemaorg/data/ext/pending/issue-1689-examples.txt\n./schemaorg/data/ext/pending/issue-1253-examples.txt\n./schemaorg/data/ext/pending/issue-1810-examples.txt\n./schemaorg/data/ext/pending/issue-271-examples.txt\n./schemaorg/data/ext/health-lifesci/drug-example.txt\n./schemaorg/data/ext/health-lifesci/MedicalScholarlyArticle-examples.txt\n./schemaorg/data/ext/health-lifesci/medicalCondition-examples.txt\n./schemaorg/data/ext/health-lifesci/medicalWebpage-examples.txt\n./schemaorg/data/ext/health-lifesci/medicalGuideline-examples.txt\n./schemaorg/data/ext/bib/bsdo-atlas-examples.txt\n./schemaorg/data/ext/bib/bsdo-collection-examples.txt\n./schemaorg/data/ext/bib/comics-examples.txt\n./schemaorg/data/ext/bib/bsdo-newspaper-examples.txt\n./schemaorg/data/ext/bib/bsdo-thesis-examples.txt\n./schemaorg/data/ext/bib/bsdo-translation-examples.txt\n./schemaorg/data/ext/bib/bsdo-audiobook-examples.txt\n./schemaorg/data/ext/bib/bsdo-chapter-examples.txt\n./schemaorg/data/sdo-tv-listing-examples.txt\n./schemaorg/data/sdo-identifier-examples.txt\n./schemaorg/data/sdo-service-examples.txt\n./schemaorg/data/sdo-defined-region-examples.txt\n./schemaorg/data/sdo-mainEntity-examples.txt\n./schemaorg/data/sdo-visualartwork-examples.txt\n./schemaorg/data/sdo-course-examples.txt\n
```

--------------------------------

### JSON-LD EventSeries Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/ext/pending/issue-447-examples.txt

This JSON-LD snippet defines an EventSeries for the Olympic Games and its sub-events, the Summer Olympics in Rio and London. It includes event names, start and end dates, URLs, and relationships between super and sub-events.

```json
{
  "@context" : "https://schema.org",
  "@type" : "EventSeries",
  "@id" : "http://www.olympic.org/olympic-games",
  "name" : "Olympic Games",
  "subEvent" : "http://www.olympic.org/rio-2016-summer-olympics",
  "subEvent" : "http://www.olympic.org/london-2012-summer-olympics"
}
```

```json
{
  "@context" : "https://schema.org",
  "@type" : "Event",
  "@id" : "http://www.olympic.org/rio-2016-summer-olympics",
  "name" : "The Rio 2016 Summer Olympics",
  "startDate" : "2016-08-05",
  "endDate" : "2016-08-21",
  "url" : "http://www.rio2016.com",
  "offers" : {
     "@type" : "Offer",
     "url" : "http://www.rio2016.com/en/tourist-information"
  },
  "superEvent" : "http://www.olympic.org/olympic-games",
  "subEvent" : "http://www.rio2016.com/en/rowing"
}
```

```json
{
  "@context" : "https://schema.org",
  "@type" : "Event",
  "@id" : "http://www.rio2016.com/en/rowing",
  "location" : {
     "@type" : "Place",
     "name" : "Lagoa Stadium",
     "address" : "Av. Borges de Medeiros, 1524 - Lagoa, Rio de Janeiro - RJ, 22470-003, Brazil"
  },
  "startDate" : "2016-08-06",
  "endDate" : "2016-08-13",
  "superEvent": "http://www.olympic.org/rio-2016-summer-olympics"
}
```

```json
{
  "@context" : "https://schema.org",
  "@type": "Event",
  "@id" : "http://www.olympic.org/london-2012-summer-olympics",
  "name" : "The London 2012 Summer Olympics",
  "startDate" : "2012-07-27",
  "endDate" : "2012-08-12",
  "superEvent" : "http://www.olympic.org/olympic-games"
}
```

--------------------------------

### JSON-LD Example for ListenAction with ActionAccessSpecification

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/ext/pending/issue-1741-examples.txt

This example demonstrates how to structure a MusicRecording with a potential ListenAction. It includes detailed requirements for accessing the action, such as availability dates, eligible regions, subscription needs, and expected offers.

```json
<script type="application/ld+json">
{
  "@context": "https://schema.org/",
  "@type": "MusicRecording",
  "potentialAction": {
    "@type": "ListenAction",
    "actionAccessibilityRequirement": {
      "@type": "ActionAccessSpecification",
      "availabilityStarts": "2017-01-01T00:00",
      "availabilityEnds": "2017-12-31T00:00",
      "eligibleRegion": {
        "@type": "Country",
        "sameAs": "https://www.wikidata.org/wiki/Q166433",
        "name": "US"
      },
      "requiresSubscription": {
        "@type": "MediaSubscription",
        "name": "ACME streaming music monthly subscription",
        "authenticator": {
          "@type": "Organization",
          "name": "ACME Media"
        }
      },
      "expectsAcceptanceOf": {
        "@type": "Offer",
        "itemOffered": {
          "@type": "MusicRecording",
          "name": "Song I want to stream that is only available for streaming after I buy it."
        }
      }
    }
  }
}
</script>
```

--------------------------------

### MortgageLoan and RepaymentSpecification JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/docs/financial.html

Demonstrates JSON-LD for describing a Mortgage Loan and its Repayment Specification, including loan amount, term, interest rate, APR, payment frequency, number of installments, down payment, and payment amount.

```json
{
    "@context": "https://schema.org",
    "@type": "WebPage",
    "name": "Middle exchange rates of foreign currencies – table A",
    "mainEntity": {
      "@type": "ItemList",
      "name": "Table No. 047/A/NBP/2016 of 2016-03-09",
      "itemListElement": [
          {
            "@type": "ExchangeRateSpecification",
            "currency":"EUR",
            "currentExchangeRate":{
              "@type": "UnitPriceSpecification",
              "price": "4.3215",
              "priceCurrency": "PLN"
              }
          },
          {
            "@type": "ExchangeRateSpecification",
            "currency":"BRL",
            "currentExchangeRate":{
              "@type": "UnitPriceSpecification",
              "price": "1.0490",
              "priceCurrency": "PLN"
              }
          }
      ]
    }
  }
```

--------------------------------

### Fully Specified Music Event with Performers (JSON-LD)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This example provides a detailed description of a MusicEvent, including a tour image, full venue address with postal code, multiple performers, and multiple ticket classes with pricing and availability. It specifies start and end times, and performer details with 'sameAs' links.

```json
[{
    "@context" : "https://schema.org",
    "@type" : "MusicEvent",
    "name" : "B.B. King with Jonathon \"Boogie\" Long",
    "image" : "http://www.bbking.com/gallery/b-b-king-live.jpg",
    "url" : "http://www.bbking.com/events/apr12-providence.html",
    "startDate" : "2014-04-12T19:30",
    "doorTime" : "18:30:00",
    "endDate" : "2014-04-12T22:00",
    "location" : {
        "@type" : "Place",
        "name" : "Lupo's Heartbreak Hotel",
        "sameAs" : "http://lupos.com/",
        "address" : {
            "@type" : "PostalAddress",
            "streetAddress" : "79 Washington St.",
            "addressLocality" : "Providence",
            "addressRegion" : "RI",
            "postalCode" : "02903",
            "addressCountry" : "US"
        }
    },
    "offers" : [ { 
        "@type" : "Offer",
        "name" : "General Admission",
        "priceCurrency": "USD",
        "price" : "63.25",
        "availability" : "SoldOut",
        "url" : "http://www.ticketmaster.com/event/17004C29"
    },{ 
        "@type" : "Offer",
        "name" : "VIP Experience",
        "url" : "http://www.example.com/Abcde12345",
        "priceCurrency": "USD",
        "price" : "299.00",
        "validFrom" : "2014-02-05T10:00",
        "validThrough" : "2014-03-19T23:59"
    } ],
    "performer" : [ { 
        "@type" : "MusicGroup",
        "name" : "B.B. King",
        "sameAs" : "http://en.wikipedia.org/wiki/B.B._King"
    },{ 
        "@type" : "MusicGroup",
        "name" : "Jonathon \"Boogie\" Long",
        "sameAs" : "http://jonathonboogielong.com/"
    } ] 
}]
```

--------------------------------

### Analyze Schema.org Example Coverage

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/scripts/Schema_org_Examples.ipynb

Analyzes the loaded schema.org examples to report on total examples, terms with examples, maximum examples per term, and identifies invalid or missing terms.

```python
#@title Analyse Examples coverage
ShowErrors = False #@param {type:"boolean"}
print("Total Examples: %s" % SchemaExamples.count())
print("Terms with examples: %s" % len(SchemaExamples.EXAMPLESMAP))
maxex = maxterm = invalidTerms = 0
for t, exs in SchemaExamples.EXAMPLESMAP.items():
  maxex = max(maxex,len(exs))
print("Max examples for a term: %s" % maxex)
import re

all = SchemaExamples.allExamples()
total = len(all)
done = 0
for ex in all:
  debugdata = ""
  if gitpullrequired:
    debugdata = " (%s [%s]) " % (ex.exmeta.get('file',''),ex.exmeta.get('filepos',''))
  maxterm = max(maxterm,len(ex.terms))
  for term in ex.terms:
    if re.search('[^0-9a-zA-Z-_]',term):
      if ShowErrors:
        clearProgressBar("    %s: invalid term name: '%s' %s\n" %(ex.keyvalue,term,debugdata))
      invalidTerms += 1
    else:
      t = SdoTermSource.getTerm(term)
      if not t:
        if ShowErrors:
          clearProgressBar("    %s: term not found: %s  %s\n" %(ex.keyvalue,term,debugdata))
        invalidTerms += 1
  done += 1
  drawProgressBar(percentage(done,total)/100,50,pre="Processing Example Definitions.... ")

clearProgressBar("")
print()
print("Max terms for an example: %s" % maxterm)
```

--------------------------------

### ChooseAction Example with Multiple Options

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

Illustrates an agent choosing an object from a list of action options. This example shows John choosing Dogfish Head from two brewery options.

```json
{
  "@context": "https://schema.org",
  "@type": "ChooseAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Brewery",
    "name": "Dogfish Head"
  },
  "actionOption": [
    {
      "@type": "Brewery",
      "name": "Dogfish Head"
    },
    {
      "@type": "Brewery",
      "name": "Russian River"
    }
  ]
}
```

--------------------------------

### DiscoverAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Use this to describe a discovery action. It requires an agent and an object, such as a MusicRecording.

```json
{
  "@context": "http://schema.org",
  "@type": "DiscoverAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "MusicRecording",
    "name": "Pink"
  }
}
```

--------------------------------

### DataIntegrityProof Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/ext/pending/issue-3230-examples.txt

Example of a DataIntegrityProof object with specific properties.

```json
{
    "type": "DataIntegrityProof",
    "cryptosuite": "ecdsa-rdfc-2019",
    "created": "2023-12-11T13:00:00Z",
    "verificationMethod": "https://certification.example/issuers/1562#key-1",
    "proofPurpose": "assertionMethod",
    "proofValue": "998qTceMhzmpFSfwEphYDnWJJiAtcGaitiZ2FgpRWEcLJmfQBRMUpaTihmhpdHbiMJN9Ranx1PXLaGSePQjV74nLC"
  }
```

--------------------------------

### DepartAction Example: Departing from a Hotel

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

This example shows how to represent a departure action from a location.

```json
{
  "@context": "https://schema.org",
  "@type": "DepartAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Hotel",
    "name": "The Hilton"
  }
}
```

--------------------------------

### JSON-LD AddAction Example (Skillset)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Demonstrates adding a software application to a skillset collection. Ensure the object and targetCollection are accurately described.

```json
// John added SAAS to his skillset.
{
  "@context": "http://schema.org",
  "@type": "AddAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "SoftwareApplication",
    "name": "SAAS"
  },
  "targetCollection": {
    "@type": "ItemList",
    "name": "John's skillset",
    "url": "http://linkedn.com/john/skillset"
  }
}
```

--------------------------------

### ExerciseAction (Opponent) Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

Represents an action of exercising. This example specifies the type of exercise and an opponent.

```json
{
  "@context": "https://schema.org",
  "@type": "ExerciseAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "exerciseType": "Tennis",
  "opponent": {
    "@type": "Person",
    "name": "Steve"
  }
}
```

--------------------------------

### OrganizeAction JSON-LD Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

Use this to mark up an action where an agent organizes something. This example shows John organizing a webpage.

```json
{
  "@context": "https://schema.org",
  "@type": "OrganizeAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "WebPage",
    "name": "John's thought about the web"
  }
}
```

--------------------------------

### VoteAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/examples.txt

Represents an agent voting for a candidate. This example shows John voting on Steve.

```json
{
  "@context": "https://schema.org",
  "@type": "VoteAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "candidate": {
    "@type": "Person",
    "name": "Steve"
  }
}
```

--------------------------------

### Schema.org Data Setup and RDFLib Plugin Registration

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/scripts/dashboard.ipynb

Initializes the testing harness, registers the JSON-LD serializer for RDFLib, loads Schema.org schemas and extensions, and retrieves the master data store.

```python
# Setup
setInTestHarness(True)
import sdoapp

rdflib.plugin.register("json-ld", Serializer, "rdflib_jsonld.serializer", "JsonLDSerializer")

store = getMasterStore()
read_schemas(loadExtensions=True)
read_extensions(sdoapp.ENABLED_EXTENSIONS)
graphs = list(store.graphs())

```

--------------------------------

### Install SPARQLWrapper Library

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/scripts/Schema_org_Dashboard.ipynb

Installs the SPARQLWrapper library, which is required for querying SPARQL endpoints. This command should be run once per session.

```python
# run this once per session to bring in a required library

!pip --quiet install sparqlwrapper | grep -v 'already satisfied'

from SPARQLWrapper import SPARQLWrapper, JSON
import pandas as pd
import io
import requests
```

--------------------------------

### Action Target URL Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/docs/actions.html

Illustrates how to specify a target URL for executing an action, like watching a movie.

```json
{
  "@context": "https://schema.org",
  "@type": "Movie",
  "name": "Footloose",
  "potentialAction": {
    "@type": "WatchAction",
    "target" : "http://example.com/player?id=123"
  }
}
```

--------------------------------

### Install Python Dependencies

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SOFTWARE_README.md

Installs the Python dependencies required for the schema.org project using pip.

```bash
pip3 install -r software/requirements.txt
```

--------------------------------

### JSON-LD DeleteAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents a DeleteAction for removing an item from a collection. This example deletes a movie from a list.

```json
// John deleted The Internship from his movie queue.
{
  "@context": "http://schema.org",
  "@type": "DeleteAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Movie",
    "name": "The Internship"
  },
  "targetCollection": {
    "@type": "ItemList",
    "name": "List of my favorite movies",
    "url": "http://netflix.com/john/favorite"
  }
}
```

--------------------------------

### ShareAction Example (Image)

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Use to indicate that an agent has shared an object with a recipient. This example shares an image.

```json
{
  "@context": "http://schema.org",
  "@type": "ShareAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "recipient": {
    "@type": "Person",
    "name": "Steve"
  },
  "object": {
    "@type": "ImageObject",
    "name": "My kids",
    "url": "http://john.com/kids.jpg"
  }
}
```

--------------------------------

### WearAction Example

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Represents the action of wearing an item of clothing or accessory. This example indicates wearing a brand.

```json
{
  "@context": "http://schema.org",
  "@type": "WearAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "Brand",
    "name": "Calvin Klein"
  }
}
```

--------------------------------

### Basic JSON-LD for OnlineStore

Source: https://github.com/schemaorg/quantity_datatype/blob/main/data/ext/pending/issue-3028-examples.txt

This example demonstrates a basic JSON-LD structure for an OnlineStore, including properties like name, description, image, logo, parent organization, address, ratings, interaction statistics, and founding date.

```json
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "OnlineStore",
  "name": "Protocabulators incorporated",
  "description": "Your premium source for first class protocabulators",
  "image": "http://example.com/marketplace/sellerA.png",
  "logo": "http://example.com/marketplace/sellerA_logo.png",
  "parentOrganization": {
    "@type": "OnlineBusiness",
    "name": "Awesome Marketplace",
    "url": "http://example.com/"
  },
  "address": {
    "@type": "PostalAddress",
    "addressCountry": "Switzerland",
    "addressLocality": "Zürich"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingCount": 20,
    "ratingValue": 4.7
  },
  "interactionStatistic": {
    "@type": "InteractionCounter",
    "userInteractionCount": 75,
    "interactionType": "https://schema.org/TradeAction"
  },
  "foundingDate": "2019-10-24"
}
</script>
```

--------------------------------

### PlanAction Example with ExercisePlan

Source: https://github.com/schemaorg/quantity_datatype/blob/main/software/SchemaExamples/example-code/examples.txt

Use this snippet to represent planning an exercise plan with another person. It includes the agent, the exercise plan object, and the participant.

```json
// John planned an exercise plan with Steve.
{
  "@context": "http://schema.org",
  "@type": "PlanAction",
  "agent": {
    "@type": "Person",
    "name": "John"
  },
  "object": {
    "@type": "ExercisePlan",
    "name": "John's weight loss plan"
  },
  "participant": {
    "@type": "Person",
    "name": "Steve"
  }
}
```