Google 知識圖譜搜尋 API

本快速入門導覽課程將介紹 Google 知識圖譜 Search API。在本快速入門導覽課程中，您將使用 API 在 Google 知識圖譜中搜尋或查詢實體。

如果您正在規劃新專案，請使用 Cloud 知識圖譜 Advanced 版建構應用程式，才能利用新功能與改善的服務項目。Basic 版仍可使用，但不支援新功能、高 QPS，或額外的安全性和法規遵循標準。

搜尋 Cloud 知識圖譜實體

下列範例說明如何根據知識圖譜搜尋實體。

進階

REST

如要搜尋進階版的知識圖譜，請呼叫 projects.locations.cloudKnowledgeGraphEntities.search 方法。

使用任何要求資料之前，請先修改下列項目的值：

  • PROJECT_ID： Google Cloud 專案 ID。
  • LOCATION：知識圖譜位置。
    • 選項：global - 全球端點
  • SEARCH_QUERY：搜尋的字面查詢字串。
  • LANGUAGES：(選用) 語言代碼 (定義於 ISO 693) 清單，用於執行查詢。如未指定，預設值為 en。
  • TYPES：(選用) 根據 `https://schema.org` 定義，限制傳回的實體類型。如果指定多個類型，傳回的實體會包含其中一或多個類型。預設值為空白，這會傳回沒有類型限制的實體。如需支援的類型，請參閱 Schema.org 完整階層。
  • LIMIT：(選用) 限制要傳回的實體數量。預設值為 20。

HTTP 方法和網址：

GET https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Search?query=SEARCH_QUERY&limit=LIMIT

如要傳送要求，請選擇以下其中一個選項：

curl

執行下列指令： 

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Search?query=SEARCH_QUERY&limit=LIMIT"

PowerShell

執行下列指令： 

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Search?query=SEARCH_QUERY&limit=LIMIT" | Select-Object -Expand Content

回應包含實體清單，以 JSON-LD 格式表示，並與 schema.org 結構定義相容，但外部擴充有限。

如要進一步瞭解回應結構，請參閱「實體回應結構」。

以下 JSON-LD 範例顯示回應主體的結構：

{
  "@context": {
    "@vocab": "http://schema.org/"
  },
  "@type": "ItemList",
  "itemListElement": [
    {
      "result": {
        "@id": "c-07xuup16g",
        "name": "Stanford University",
        "description": "Private university in Stanford, California",
        "detailedDescription": {
          "articleBody": "Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California. The campus occupies 8,180 acres, among the largest in the United States, and enrolls over 17,000 students. ",
          "url": "https://en.wikipedia.org/wiki/Stanford_University",
          "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License"
        },
        "url": "http://www.stanford.edu/",
        "image": {
          "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTfPPf-ker0y_892m1wu8-U89furQgQ67foDFncY3r9sREpeWxV",
          "url": "https://es.wikipedia.org/wiki/Archivo:Logo_of_Stanford_University.png"
        },
        "identifier": [
          {
            "@type": "PropertyValue",
            "propertyID": "googleKgMID",
            "value": "/m/06pwq"
          },
          {
            "@type": "PropertyValue",
            "propertyID": "googlePlaceID",
            "value": "ChIJneqLZyq7j4ARf2j8RBrwzSk"
          },
          {
            "@type": "PropertyValue",
            "propertyID": "wikidataQID",
            "value": "Q41506"
          }
        ],
        "@type": [
          "Place",
          "Organization",
          "MovieTheater",
          "Corporation",
          "EducationalOrganization",
          "Thing",
          "CollegeOrUniversity"
        ]
      }
    }
  ]
}

Python

詳情請參閱 Enterprise Knowledge Graph Python API 參考文件。

如要向 Enterprise Knowledge Graph 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


from __future__ import annotations

from collections.abc import Sequence

from google.cloud import enterpriseknowledgegraph as ekg

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_GRAPH_LOCATION'      # Values: 'global'
# search_query = 'YOUR_SEARCH_QUERY'
# languages = ['en']                    # Optional: List of ISO 639-1 Codes
# types = ['']                          # Optional: List of schema.org types to return
# limit = 20                            # Optional: Number of entities to return


def search_sample(
    project_id: str,
    location: str,
    search_query: str,
    languages: Sequence[str] = None,
    types: Sequence[str] = None,
    limit: int = 20,
):
    # Create a client
    client = ekg.EnterpriseKnowledgeGraphServiceClient()

    # The full resource name of the location
    # e.g. projects/{project_id}/locations/{location}
    parent = client.common_location_path(project=project_id, location=location)

    # Initialize request argument(s)
    request = ekg.SearchRequest(
        parent=parent,
        query=search_query,
        languages=languages,
        types=types,
        limit=limit,
    )

    # Make the request
    response = client.search(request=request)

    print(f"Search Query: {search_query}\n")

    # Extract and print date from response
    for item in response.item_list_element:
        result = item.get("result")

        print(f"Name: {result.get('name')}")
        print(f"- Description: {result.get('description')}")
        print(f"- Types: {result.get('@type')}\n")

        detailed_description = result.get("detailedDescription")

        if detailed_description:
            print("- Detailed Description:")
            print(f"\t- Article Body: {detailed_description.get('articleBody')}")
            print(f"\t- URL: {detailed_description.get('url')}")
            print(f"\t- License: {detailed_description.get('license')}\n")

        print(f"- Cloud MID: {result.get('@id')}")
        for identifier in result.get("identifier"):
            print(f"\t- {identifier.get('name')}: {identifier.get('value')}")

        print("\n")

基本

REST

如要搜尋 Basic 版的知識圖譜，請呼叫 projects.locations.publicKnowledgeGraphEntities.search 方法。

使用任何要求資料之前，請先修改下列項目的值：

  • PROJECT_ID： Google Cloud 專案 ID。
  • LOCATION：知識圖譜位置。
    • 選項：global - 全球端點
  • SEARCH_QUERY：搜尋的字面查詢字串。
  • LANGUAGES：(選用) 語言代碼 (定義於 ISO 693) 清單，用於執行查詢。如未指定，預設值為 en。
  • TYPES：(選用) 根據 `https://schema.org` 定義，限制傳回的實體類型。如果指定多個類型，傳回的實體會包含其中一或多個類型。預設值為空白，這會傳回沒有類型限制的實體。如需支援的類型，請參閱 Schema.org 完整階層。
  • LIMIT：(選用) 限制要傳回的實體數量。預設值為 20。

HTTP 方法和網址：

GET https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Search?query=SEARCH_QUERY&limit=LIMIT

如要傳送要求，請選擇以下其中一個選項：

curl

執行下列指令： 

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Search?query=SEARCH_QUERY&limit=LIMIT"

PowerShell

執行下列指令： 

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Search?query=SEARCH_QUERY&limit=LIMIT" | Select-Object -Expand Content

回應包含實體清單，以 JSON-LD 格式表示，並與 schema.org 結構定義相容，但外部擴充有限。

如要進一步瞭解回應結構，請參閱「實體回應結構」。

以下 JSON-LD 範例顯示回應主體的結構：

{
  "@context": {
    "@vocab": "http://schema.org/"
  },
  "@type": "ItemList",
  "itemListElement": [
    {
      "result": {
        "@id": "c-07xuup16g",
        "name": "Stanford University",
        "description": "Private university in Stanford, California",
        "detailedDescription": {
          "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License",
          "url": "https://en.wikipedia.org/wiki/Stanford_University",
          "articleBody": "Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California. The campus occupies 8,180 acres, among the largest in the United States, and enrolls over 17,000 students. "
        },
        "url": "http://www.stanford.edu/",
        "identifier": [
          {
            "@type": "PropertyValue",
            "propertyID": "googleKgMID",
            "value": "/m/06pwq"
          }
        ],
        "image": {
          "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTfPPf-ker0y_892m1wu8-U89furQgQ67foDFncY3r9sREpeWxV",
          "url": "https://es.wikipedia.org/wiki/Archivo:Logo_of_Stanford_University.png"
        },
        "@type": [
          "EducationalOrganization",
          "CollegeOrUniversity",
          "Thing",
          "Place",
          "Corporation",
          "MovieTheater",
          "Organization"
        ]
      }
    }
  ]
}

Python

詳情請參閱 Enterprise Knowledge Graph Python API 參考文件。

如要向 Enterprise Knowledge Graph 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


from __future__ import annotations

from collections.abc import Sequence

from google.cloud import enterpriseknowledgegraph as ekg

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_GRAPH_LOCATION'      # Values: 'global'
# search_query = 'YOUR_SEARCH_QUERY'
# languages = ['en']                    # Optional: List of ISO 639-1 Codes
# types = ['']                          # Optional: List of schema.org types to return
# limit = 20                            # Optional: Number of entities to return


def search_public_kg_sample(
    project_id: str,
    location: str,
    search_query: str,
    languages: Sequence[str] = None,
    types: Sequence[str] = None,
    limit: int = 20,
):
    # Create a client
    client = ekg.EnterpriseKnowledgeGraphServiceClient()

    # The full resource name of the location
    # e.g. projects/{project_id}/locations/{location}
    parent = client.common_location_path(project=project_id, location=location)

    # Initialize request argument(s)
    request = ekg.SearchPublicKgRequest(
        parent=parent,
        query=search_query,
        languages=languages,
        types=types,
        limit=limit,
    )

    # Make the request
    response = client.search_public_kg(request=request)

    print(f"Search Query: {search_query}\n")

    # Extract and print date from response
    for item in response.item_list_element:
        result = item.get("result")

        print(f"Name: {result.get('name')}")
        print(f"- Description: {result.get('description')}")
        print(f"- Types: {result.get('@type')}\n")

        detailed_description = result.get("detailedDescription")

        if detailed_description:
            print("- Detailed Description:")
            print(f"\t- Article Body: {detailed_description.get('articleBody')}")
            print(f"\t- URL: {detailed_description.get('url')}")
            print(f"\t- License: {detailed_description.get('license')}\n")

        print(f"- Cloud MID: {result.get('@id')}")
        for identifier in result.get("identifier"):
            print(f"\t- {identifier.get('name')}: {identifier.get('value')}")

        print("\n")

透過 Cloud 知識圖譜 MID 查詢實體

Google 知識圖譜 Search API 推出新的機器 ID (MID) 格式，方便整合產品和應用程式。lookup API 適用於新的 Cloud Knowledge Graph MID (開頭為 c-)，以及 Google 知識圖譜 MID (開頭為 /m)。

進階

REST

如要透過 MID 查詢進階版實體，請呼叫 projects.locations.cloudKnowledgeGraphEntities.lookup 方法。

使用任何要求資料之前，請先修改下列項目的值：

  • PROJECT_ID： Google Cloud 專案 ID。
  • LOCATION：知識圖譜位置。
    • 選項：global - 全球端點
  • LOOKUP_IDS：用於查詢的實體 ID 清單。
    • 範例：/m/0dl567
  • LANGUAGES：(選用) 語言代碼 (定義於 ISO 693) 清單，用於執行查詢。如未指定，預設值為 en。

HTTP 方法和網址：

GET https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS

如要傳送要求，請選擇以下其中一個選項：

curl

執行下列指令： 

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS"

PowerShell

執行下列指令： 

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS" | Select-Object -Expand Content

回應包含實體清單，以 JSON-LD 格式表示，並與 schema.org 結構定義相容，但外部擴充有限。

如要進一步瞭解回應結構，請參閱「實體回應結構」。

以下 JSON-LD 範例顯示回應主體的結構：

{
  "@context": {
    "@vocab": "http://schema.org/"
  },
  "@type": "ItemList",
  "itemListElement": [
    {
      "result": {
        "description": "American singer-songwriter",
        "@type": [
          "Person",
          "Thing"
        ],
        "name": "Taylor Swift",
        "@id": "c-0260160kc",
        "url": "http://www.taylorswift.com/",
        "identifier": [
          {
            "@type": "PropertyValue",
            "propertyID": "googleKgMID",
            "value": "/m/0dl567"
          },
          {
            "@type": "PropertyValue",
            "propertyID": "wikidataQID",
            "value": "Q26876"
          }
        ],
        "detailedDescription": {
          "articleBody": "Taylor Alison Swift is an American singer-songwriter. Her discography spans multiple genres and her narrative songwriting—often inspired by her personal life—has received critical praise and widespread media coverage. ",
          "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License",
          "url": "https://en.wikipedia.org/wiki/Taylor_Swift"
        },
        "image": {
          "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSnsjOArwgD-bhyRslj_Qa7Z2tIPLRFU3VnEuLr1ybcyned49Pt",
          "url": "https://pt.wikipedia.org/wiki/Ficheiro:191125_Taylor_Swift_at_the_2019_American_Music_Awards_(cropped).png"
        }
      }
    }
  ]
}
如要從 Cloud 知識圖譜查詢多個實體，請提供多個 ID。網址應如下所示。 
https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/cloudKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS&ids=LOOKUP_IDS

Python

詳情請參閱 Enterprise Knowledge Graph Python API 參考文件。

如要向 Enterprise Knowledge Graph 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


from __future__ import annotations

from collections.abc import Sequence

from google.cloud import enterpriseknowledgegraph as ekg

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_GRAPH_LOCATION'      # Values: 'global'
# ids = ['YOUR_LOOKUP_MID']             # https://cloud.google.com/enterprise-knowledge-graph/docs/mid
# languages = ['en']                    # Optional: List of ISO 639-1 Codes


def lookup_sample(
    project_id: str,
    location: str,
    ids: Sequence[str],
    languages: Sequence[str] = None,
):
    # Create a client
    client = ekg.EnterpriseKnowledgeGraphServiceClient()

    # The full resource name of the location
    # e.g. projects/{project_id}/locations/{location}
    parent = client.common_location_path(project=project_id, location=location)

    # Initialize request argument(s)
    request = ekg.LookupRequest(
        parent=parent,
        ids=ids,
        languages=languages,
    )

    # Make the request
    response = client.lookup(request=request)

    print(f"Lookup IDs: {ids}\n")

    print(response)

    # Extract and print date from response
    for item in response.item_list_element:
        result = item.get("result")

        print(f"Name: {result.get('name')}")
        print(f"- Description: {result.get('description')}")
        print(f"- Types: {result.get('@type')}\n")

        detailed_description = result.get("detailedDescription")

        if detailed_description:
            print("- Detailed Description:")
            print(f"\t- Article Body: {detailed_description.get('articleBody')}")
            print(f"\t- URL: {detailed_description.get('url')}")
            print(f"\t- License: {detailed_description.get('license')}\n")

        print(f"- Cloud MID: {result.get('@id')}")
        for identifier in result.get("identifier"):
            print(f"\t- {identifier.get('name')}: {identifier.get('value')}")

        print("\n")

基本

REST

如要透過 MID 查閱 Basic 版的實體，請呼叫 projects.locations.publicKnowledgeGraphEntities.lookup 方法。

使用任何要求資料之前，請先修改下列項目的值：

  • PROJECT_ID： Google Cloud 專案 ID。
  • LOCATION：知識圖譜位置。
    • 選項：global - 全球端點
  • LOOKUP_IDS：用於查詢的實體 ID 清單。
    • 範例：/m/0dl567
  • LANGUAGES：(選用) 語言代碼 (定義於 ISO 693) 清單，用於執行查詢。如未指定，預設值為 en。

HTTP 方法和網址：

GET https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS

如要傳送要求，請選擇以下其中一個選項：

curl

執行下列指令： 

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS"

PowerShell

執行下列指令： 

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS" | Select-Object -Expand Content

回應包含實體清單，以 JSON-LD 格式表示，並與 schema.org 結構定義相容，但外部擴充有限。

如要進一步瞭解回應結構，請參閱「實體回應結構」。

以下 JSON-LD 範例顯示回應主體的結構：

{
  "@context": {
    "@vocab": "http://schema.org/"
  },
  "@type": "ItemList",
  "itemListElement": [
    {
      "result": {
        "description": "American singer-songwriter",
        "@type": [
          "Person",
          "Thing"
        ],
        "name": "Taylor Swift",
        "@id": "c-0260160kc",
        "url": "http://www.taylorswift.com/",
        "identifier": [
          {
            "@type": "PropertyValue",
            "propertyID": "googleKgMID",
            "value": "/m/0dl567"
          }
        ],
        "detailedDescription": {
          "articleBody": "Taylor Alison Swift is an American singer-songwriter. Her discography spans multiple genres and her narrative songwriting—often inspired by her personal life—has received critical praise and widespread media coverage. ",
          "license": "https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License",
          "url": "https://en.wikipedia.org/wiki/Taylor_Swift"
        },
        "image": {
          "contentUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSnsjOArwgD-bhyRslj_Qa7Z2tIPLRFU3VnEuLr1ybcyned49Pt",
          "url": "https://pt.wikipedia.org/wiki/Ficheiro:191125_Taylor_Swift_at_the_2019_American_Music_Awards_(cropped).png"
        }
      }
    }
  ]
}
如要從 Cloud 知識圖譜查詢多個實體，請提供多個 ID。網址應如下所示。 
https://enterpriseknowledgegraph.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publicKnowledgeGraphEntities:Lookup?ids=LOOKUP_IDS&ids=LOOKUP_IDS

Python

詳情請參閱 Enterprise Knowledge Graph Python API 參考文件。

如要向 Enterprise Knowledge Graph 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。


from __future__ import annotations

from collections.abc import Sequence

from google.cloud import enterpriseknowledgegraph as ekg

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_GRAPH_LOCATION'      # Values: 'global'
# ids = ['YOUR_LOOKUP_MID']             # https://cloud.google.com/enterprise-knowledge-graph/docs/mid
# languages = ['en']                    # Optional: List of ISO 639-1 Codes


def lookup_public_kg_sample(
    project_id: str,
    location: str,
    ids: Sequence[str],
    languages: Sequence[str] = None,
):
    # Create a client
    client = ekg.EnterpriseKnowledgeGraphServiceClient()

    # The full resource name of the location
    # e.g. projects/{project_id}/locations/{location}
    parent = client.common_location_path(project=project_id, location=location)

    # Initialize request argument(s)
    request = ekg.LookupPublicKgRequest(
        parent=parent,
        ids=ids,
        languages=languages,
    )

    # Make the request
    response = client.lookup_public_kg(request=request)

    print(f"Lookup IDs: {ids}\n")

    print(response)

    # Extract and print date from response
    for item in response.item_list_element:
        result = item.get("result")

        print(f"Name: {result.get('name')}")
        print(f"- Description: {result.get('description')}")
        print(f"- Types: {result.get('@type')}\n")

        detailed_description = result.get("detailedDescription")

        if detailed_description:
            print("- Detailed Description:")
            print(f"\t- Article Body: {detailed_description.get('articleBody')}")
            print(f"\t- URL: {detailed_description.get('url')}")
            print(f"\t- License: {detailed_description.get('license')}\n")

        print(f"- Cloud MID: {result.get('@id')}")
        for identifier in result.get("identifier"):
            print(f"\t- {identifier.get('name')}: {identifier.get('value')}")

        print("\n")

實體結構

欄位名稱 類型 說明
@id string 實體的標準 URI。
name string 實體名稱。
@type array 與實體相符的支援 schema.org 類型清單。
description string 實體的簡短說明。
image URL 有助於識別實體的圖片。
detailedDescription string 實體的詳細說明。
url URL 實體的官方網站網址 (如有)。
identifier array 其他連結 ID 清單，例如 WikidataQID。

JSON-LD 關鍵字

如需 JSON-LD 關鍵字 (例如)：

schema.org 相容性

每個 Schema.org 類型 (例如 Person) 和屬性 (例如 name) 都有對應的完整 URI，如下列範例所示：

類別 名稱 URI
類型 Person https://schema.org/Person
類型 Thing https://schema.org/Thing
屬性 name https://schema.org/name
屬性 description https://schema.org/description

結構定義擴充功能

這個 API 中使用的型別和屬性會以外部擴充功能的形式，代管於 https://schema.googleapis.com。

如要查看各類型和屬性的說明文件，請前往對應的 URI。

類別 名稱 URI
類型 EntitySearchResult https://schema.googleapis.com/EntitySearchResult
屬性 detailedDescription https://schema.googleapis.com/detailedDescription

知識圖譜實體

知識圖譜有數百萬筆條目，描述現實世界中的實體，例如人物、地點和事物。這些實體會構成圖表的節點。

以下是 Cloud Knowledge Graph 中常見的實體類型：