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Get information about taxonomies

List of available taxonomies

The API provides a self-documentation resource to programmatically discover available taxonomies and their features. It has this path:

taxonomies

Therefore, the complete URL is:

https://nlapi.expert.ai/v2/taxonomies

It must be requested with the GET method.
It returns the list of available taxonomies along with the supported languages.

In the reference section of this manual you will find all the information you need to get taxonomies information using the API's RESTful interface, specifically:

Note

Even if you consume the API through a ready-to-use client that hides low-level requests and responses, knowing the output format helps you understand and navigate the results.

Here is an example of getting taxonomies information:

This example code uses expertai-nlapi, the open-source Python client corresponding to the nlapi-python GitHub project.

The client gets user credentials from two environment variables:

EAI_USERNAME
EAI_PASSWORD

Set those variables with your account credentials before running the sample program below.

The program prints the list of taxonomies with the language they support.

from expertai.nlapi.cloud.client import ExpertAiClient

client = ExpertAiClient()

output = client.taxonomies()

print("Available taxonomies:")

for taxonomy in output.taxonomies:
    print(taxonomy.name)
    print("\tLanguages:")
    for language in taxonomy.languages:
        print("\t", language.code)

This example code uses @expertai/nlapi, the open-source NodeJS client corresponding to the nlapi-nodejs GitHub project.

The client gets user credentials from two environment variables:

EAI_USERNAME
EAI_PASSWORD

Set those variables with your account credentials before running the sample program below.

The program prints the list of taxonomies with the language they support.

import {NLClient} from "@expertai/nlapi";

var nlClient = new NLClient();

nlClient.taxonomies().then((result) => {
    console.log("Available taxonomies:");

    for (const taxonomy of result.taxonomies) {
        console.log(taxonomy.name)
        console.log("\tLanguages:")
        for (const language of taxonomy.languages) {
            console.log("\t\t" + language.code);
        }
    }
})

This example code uses nlapi-java-sdk, the open-source Java client corresponding to the nlapi-java GitHub project.

The client gets user credentials from two environment variables:

EAI_USERNAME
EAI_PASSWORD

Set those variables with your account credentials before running the sample program below.

The program prints the JSON response.

import ai.expert.nlapi.security.Authentication;
import ai.expert.nlapi.security.Authenticator;
import ai.expert.nlapi.security.BasicAuthenticator;
import ai.expert.nlapi.security.DefaultCredentialsProvider;
import ai.expert.nlapi.v2.API;
import ai.expert.nlapi.v2.cloud.InfoAPI;
import ai.expert.nlapi.v2.cloud.InfoAPIConfig;
import ai.expert.nlapi.v2.message.TaxonomiesResponse;

public class Main {

    public static Authentication createAuthentication() throws Exception {
        DefaultCredentialsProvider credentialsProvider = new DefaultCredentialsProvider();
        Authenticator authenticator = new BasicAuthenticator(credentialsProvider);
        return new Authentication(authenticator);
    }

    public static void main(String[] args) {
        try {
            InfoAPI infoAPI = new InfoAPI(InfoAPIConfig.builder()
                                                       .withAuthentication(createAuthentication())
                                                       .withVersion(API.Versions.V2)
                                                       .build());

            TaxonomiesResponse taxonomies = infoAPI.getTaxonomies();
            taxonomies.prettyPrint();
        }
        catch(Exception ex) {
            ex.printStackTrace();
        }
    }
}

The following curl command gets the taxonomies documentation resource of the API's REST interface.
Run the command from a shell after replacing token with the actual authorization token.

curl -X GET https://nlapi.expert.ai/v2/taxonomies \
    -H 'Authorization: Bearer token'

The server returns a JSON object.

The following curl command gets the taxonomies documentation resource of the API's REST interface.
Open a command prompt in the folder where you installed curl and run the command after replacing token with the actual authorization token.

curl -X GET https://nlapi.expert.ai/v2/taxonomies -H "Authorization: Bearer token"

The server returns a JSON object.

Category tree

The API also provides self-documentation resources that return the category tree for a given taxonomy-language combination.
These resources have paths like this:

taxonomies/taxonomy name/language code

Boxed parts are placeholders, so for example:

https://nlapi.expert.ai/v2/taxonomies/iptc/en

is the URL of the resource returning the category tree for the iptc taxonomy for the English language.
These resources must be requested with the GET method.

In the reference section of this manual you will find all the information you need to get these resources using the API's RESTful interface, specifically:

Note

Even if you consume the API through a ready-to-use client that hides low-level requests and responses, knowing the output format helps you understand and navigate the results.

For example, here is how to get the category tree of the geotax taxonomy for English:

This example code uses expertai-nlapi, the open-source Python client corresponding to the nlapi-python GitHub project.

The client gets user credentials from two environment variables:

EAI_USERNAME
EAI_PASSWORD

Set those variables with your account credentials before running the sample program below.

The program prints the category tree of the geotax taxonomy.

from expertai.nlapi.cloud.client import ExpertAiClient

def printCategory(level, category):
    tabs = "\t" * level
    print(tabs, category.id, category.label)
    for nestedCategory in category.categories:
        printCategory(level + 1, nestedCategory)

client = ExpertAiClient()

taxonomy='geotax'
language='en'

output = client.taxonomy(params={'taxonomy': taxonomy, 'language': language})

print("geotax categories' tree:")

for category in output.taxonomy[0].categories:
    printCategory(0, category)

This example code uses @expertai/nlapi, the open-source NodeJS client corresponding to the nlapi-nodejs GitHub project.

The client gets user credentials from two environment variables:

EAI_USERNAME
EAI_PASSWORD

Set those variables with your account credentials before running the sample program below.

The program prints the category tree of the geotax taxonomy.

import {NLClient} from "@expertai/nlapi";
import {Language} from "@expertai/nlapi";

function printCategory(level, category) {
    const tabs = "\t".repeat(level);
    console.log(tabs + category.id, category.label);

    if (category.categories) {
        for (const nestedCategory of category.categories) {
            printCategory(level + 1, nestedCategory)
        }
    }
}

var nlClient = new NLClient();

nlClient.taxonomy({
    taxonomy: "geotax",
    language: Language.EN
}).then((result) => {
    console.log("geotax categories' tree:");

    for (const category of result.data[0].taxonomy[0].categories) {
        printCategory(0, category)
    }

})

This example code uses nlapi-java-sdk, the open-source Java client corresponding to the nlapi-java GitHub project.

The client gets user credentials from two environment variables:

EAI_USERNAME
EAI_PASSWORD

Set those variables with your account credentials before running the sample program below.

The program prints the JSON response.

import ai.expert.nlapi.security.Authentication;
import ai.expert.nlapi.security.Authenticator;
import ai.expert.nlapi.security.BasicAuthenticator;
import ai.expert.nlapi.security.DefaultCredentialsProvider;
import ai.expert.nlapi.v2.API;
import ai.expert.nlapi.v2.cloud.InfoAPI;
import ai.expert.nlapi.v2.cloud.InfoAPIConfig;
import ai.expert.nlapi.v2.message.TaxonomyResponse;

public class Main {

    public static Authentication createAuthentication() throws Exception {
        DefaultCredentialsProvider credentialsProvider = new DefaultCredentialsProvider();
        Authenticator authenticator = new BasicAuthenticator(credentialsProvider);
        return new Authentication(authenticator);
    }

    public static void main(String[] args) {
        try {
            InfoAPI infoAPI = new InfoAPI(InfoAPIConfig.builder()
                                                       .withAuthentication(createAuthentication())
                                                       .withVersion(API.Versions.V2)
                                                       .build());

            TaxonomyResponse taxonomy = infoAPI.getTaxonomy("geotax", API.Languages.en);
            taxonomy.prettyPrint();
        }
        catch(Exception ex) {
            ex.printStackTrace();
        }
    }
}

The following curl command gets the resource of the API's REST interface that returns the categories' tree of the English geotax taxonomy. Run the command from a shell after replacing token with the actual authorization token.

curl -X GET https://nlapi.expert.ai/v2/taxonomies/geotax/en \
    -H 'Authorization: Bearer token'

The server returns a JSON object.

The following curl command gets the resource of the API's REST interface that returns the categories' tree of the English geotax taxonomy. Open a command prompt in the folder where you installed curl and run the command after replacing token with the actual authorization token.

curl -X GET https://nlapi.expert.ai/v2/geotax/en -H "Authorization: Bearer token"

The server returns a JSON object.