Account

An account holds the associated dataset URI, which is required to correctly build unique entity IDs owned by the account, e.g. if your dataset URI is http://example.wordlift.io/my-dataset, then your entity ID will be http://example.wordlift.io/my-dataset/my-entity-id.

The entity ID is created when creating triples with the SPARQL end-point.

It is important also to tell WordLift which one is the address of your website: to do so use the API described in Update Account.

Get an Account

In order to get the account data, do a GET request using the WordLift’s key. The response will be a plain text with the dataset base URI for the account.

Path Parameters

Table 1. /accounts/key={key}/dataset_uri
Parameter Description

key

WordLift’s key.

Sample HTTP Request

GET /accounts/key=abc123/dataset_uri HTTP/1.1
Host: api.wordlift.it

Sample CURL

$ curl 'https://api.wordlift.it/accounts/key=abc123/dataset_uri' -i -X GET

Sample HTTP Response

HTTP/1.1 200 OK
Content-Type: text/plain;charset=UTF-8
Content-Length: 31

http://data.redlink.io/91/wl040

Update Account

To update the account data use a PUT request. Always update the web site URL in the event is has changed.

Request Parameters

Parameter Description

key

WordLift’s key.

url

The web site URL.

country

The target country, use the ISO 3166 2-letters country codes.

language

The language, use the ISO 639 2-letters language codes.

Sample HTTP Request

PUT /accounts HTTP/1.1
Host: api.wordlift.it
Content-Type: application/x-www-form-urlencoded

key=abc123&url=https%3A%2F%2Fexample.org&country=us&language=en

Sample CURL

$ curl 'https://api.wordlift.it/accounts' -i -X PUT \
    -d 'key=abc123&url=https%3A%2F%2Fexample.org&country=us&language=en'

Response Fields

Path Type Description

datasetURI

String

The dataset URL, i.e. the domain base URL followed by the dataset ID.

packageType

Null

WordLift’s package type (currently always null).

Sample HTTP Response

HTTP/1.1 200 OK
Content-Type: application/json;charset=UTF-8
Content-Length: 78

{
  "datasetURI" : "http://data.redlink.io/91/wl040",
  "packageType" : null
}

Content Analysis

Use the Content Analysis end-point to analyse content.

Perform Content Analysis

Request Parameters

Parameter Description

key

WordLift’s key.

Request Headers

Name Description

Accept

Always application/json;charset=UTF-8.

Request Fields

Path Type Description

content

String

The content, it can be html.

excludeImagesRegex

String

A regular expression used to exclude images from the results, e.g. \.svg$ to exclude SVG files.

contentLanguage

String

The content language, use the ISO 639 2-letters language codes.

contentType

String

The content mime type, e.g. text/html.

version

String

The protocol version, always 1.0.0.

exclude

Array

A list of entities to exclude from the results, e.g. [ "http://example.org/Test" ].

scope

String

The inclusion scope: local to return only entities from the local dataset, or cloud to return entities also from Wikidata.

minOccurrences

Number

The minimum number of occurrences.

Sample HTTP Request

POST /analyses?key=abc123 HTTP/1.1
Content-Type: application/json;charset=UTF-8
Accept: application/json;charset=UTF-8
Host: api.wordlift.it
Content-Length: 436

{
	"content": "<p>This article is about putting to use Machine-Readable Entity IDs to gain back control of the data that matters for you or your business and to help others find you unambiguously and... yes, this does lead to better SEO.</p>",
	"excludeImagesRegex": "\\.svg$",
	"contentLanguage": "en",
	"contentType": "text/html",
	"version": "1.0.0",
	"exclude": [ "http://example.org/Test" ],
	"scope": "all",
	"minOccurrences": 1
}

Sample CURL Request

$ curl 'https://api.wordlift.it/analyses?key=abc123' -i -X POST \
    -H 'Content-Type: application/json;charset=UTF-8' \
    -H 'Accept: application/json;charset=UTF-8' \
    -d '{
	"content": "<p>This article is about putting to use Machine-Readable Entity IDs to gain back control of the data that matters for you or your business and to help others find you unambiguously and... yes, this does lead to better SEO.</p>",
	"excludeImagesRegex": "\\.svg$",
	"contentLanguage": "en",
	"contentType": "text/html",
	"version": "1.0.0",
	"exclude": [ "http://example.org/Test" ],
	"scope": "all",
	"minOccurrences": 1
}'

Response Headers

Name Description

Content-Type

Always application/json;charset=UTF-8.

Response Fields

Path Type Description

entities

Object

An array of entities.

entities.*.entityId

String

Entity id.

entities.*.confidence

Number

The overall entity confidence.

entities.*.mainType

String

Entity’s main type.

entities.*.types

Array

Entity’s other types.

entities.*.label

String

Entity’s label.

entities.*.description

String

Entity’s description.

entities.*.images

Array

Entity’s images.

entities.*.sameAs

Array

Entity’s sameAs.

entities.*.properties

Object

Entity’s properties.

entities.*.occurrences

Array

Entity’s occurrences (always empty).

entities.*.synonyms

Array

Entity’s synonyms.

annotations

Object

An array of text annotations.

annotations.*.annotationId

String

The unique annotation id.

annotations.*.start

Number

Annotation’s start position.

annotations.*.end

Number

Annotation’s end position.

annotations.*.text

String

Annotation’s text.

annotations.*.entityMatches

Array

A list of entities connected to this text annotation.

annotations.*.entityMatches[].confidence

Number

The match confidence score.

annotations.*.entityMatches[].entityId

String

The matching entity’s id.

images

Array

The list of images.

images[].label

String

Image’s label.

images[].url

String

Image’s url.

languages

Array

The detected languages (always empty).

topics

Array

The detected topics (always empty).

timeTaken

Null

The time taken (always null).

analysisTimeTaken

Null

The time taken (always null).

content

Null

The content (always null).

Sample HTTP Response

HTTP/1.1 200 OK
Content-Type: application/json;charset=UTF-8
Content-Length: 12253

{
  "entities" : {
    "http://dbpedia.org/resource/Business" : {
      "entityId" : "http://dbpedia.org/resource/Business",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Business",
      "description" : "A business (also known as enterprise or firm) is an organization involved in the trade of goods, services, or both to consumers. Business plan and Business model determine the outcome of an active business operation. Businesses are predominant in capitalist economies, where most of them are privately owned and administered to earn profit to increase the wealth of their owners. Businesses may also be not-for-profit or state-owned.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.09s1f" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ ]
    },
    "http://dbpedia.org/resource/Search_engine_optimization" : {
      "entityId" : "http://dbpedia.org/resource/Search_engine_optimization",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Search engine optimization",
      "description" : "Search engine optimization (SEO) is the process of affecting the visibility of a website or a web page in a search engine's \"natural\" or un-paid search results. In general, the earlier (or higher ranked on the search results page), and more frequently a site appears in the search results list, the more visitors it will receive from the search engine's users.",
      "images" : [ "http://upload.wikimedia.org/wikipedia/commons/4/41/Yahoo_google_Haifa.jpg" ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.019qb_" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ "SEO" ]
    },
    "http://dbpedia.org/resource/Article_(publishing)" : {
      "entityId" : "http://dbpedia.org/resource/Article_(publishing)",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Article (publishing)",
      "description" : "An article is a written work published in a print or electronic medium. It may be for the purpose of propagating the news, research results, academic analysis or debate.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.07t5cj" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ "article" ]
    },
    "http://dbpedia.org/resource/Use_(law)" : {
      "entityId" : "http://dbpedia.org/resource/Use_(law)",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Use (law)",
      "description" : "Use, as a term in real property law of common law countries, amounts to a recognition of the duty of a person, to whom property has been conveyed for certain purposes, to carry out those purposes. Uses were equitable or beneficial interests in land. In early law a man could not dispose of his estate by will nor could religious houses acquire it.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.05r4j5" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ "use" ]
    },
    "http://dbpedia.org/resource/Political_machine" : {
      "entityId" : "http://dbpedia.org/resource/Political_machine",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Political machine",
      "description" : "A political machine is a political organization in which an authoritative boss or small group commands the support of a corps of supporters and businesses (usually campaign workers), who receive rewards for their efforts. The machine's power is based on the ability of the workers to get out the vote for their candidates on election day.",
      "images" : [ "http://upload.wikimedia.org/wikipedia/commons/5/55/New_York's_New_Solar_System2.jpg" ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.024pbn" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ "Machine" ]
    },
    "http://dbpedia.org/resource/Find" : {
      "entityId" : "http://dbpedia.org/resource/Find",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Find",
      "description" : "In Unix-like and some other operating systems, is a command-line utility that searches through one or more directory trees of a file system, locates files based on some user-specified criteria and applies a user-specified action on each matched file. The possible search criteria include a pattern to match against the file name or a time range to match against the modification time or access time of the file. By default, returns a list of all files below the current working directory.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.05570d" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ ]
    },
    "http://dbpedia.org/resource/Data" : {
      "entityId" : "http://dbpedia.org/resource/Data",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Data",
      "description" : "Data are values of qualitative or quantitative variables, belonging to a set of items. Data in computing are represented in a structure, often tabular (represented by rows and columns), a tree (a set of nodes with parent-children relationship) or a graph structure (a set of interconnected nodes). Data are typically the results of measurements and can be visualised using graphs or images.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.026sq" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ ]
    },
    "http://dbpedia.org/resource/Lead" : {
      "entityId" : "http://dbpedia.org/resource/Lead",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Lead",
      "description" : "Lead is a chemical element in the carbon group with symbol Pb and atomic number 82. Lead is a soft and malleable metal, which is regarded as a heavy metal and poor metal. Metallic lead has a bluish-white color after being freshly cut, but it soon tarnishes to a dull grayish color when exposed to air. Lead has a shiny chrome-silver luster when it is melted into a liquid.",
      "images" : [ "http://upload.wikimedia.org/wikipedia/commons/6/63/Lead-2.jpg" ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.025r_0t" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ ]
    },
    "http://dbpedia.org/resource/Gain" : {
      "entityId" : "http://dbpedia.org/resource/Gain",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Gain",
      "description" : "In electronics, gain is a measure of the ability of a circuit to increase the power or amplitude of a signal from the input to the output, by adding energy to the signal converted from some power supply. It is usually defined as the mean ratio of the signal output of a system to the signal input of the same system. It may also be defined on a logarithmic scale, in terms of the decimal logarithm of the same ratio.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.0bjrf" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ ]
    },
    "http://dbpedia.org/resource/Station_identification" : {
      "entityId" : "http://dbpedia.org/resource/Station_identification",
      "confidence" : 1.0,
      "mainType" : "thing",
      "types" : [ ],
      "label" : "Station identification",
      "description" : "Station identification (ident or channel ID) is the practice of radio or television stations or networks identifying themselves on air, typically by means of a call sign or brand name (sometimes known, particularly in the United States, as a \"sounder\" or \"stinger\", more generally as a station or network ID). This may be to satisfy requirements of licensing authorities, a form of branding or a combination of both.",
      "images" : [ ],
      "sameAs" : [ "http://rdf.freebase.com/ns/m.03163j" ],
      "properties" : { },
      "occurrences" : [ ],
      "synonyms" : [ "IDs" ]
    }
  },
  "annotations" : {
    "urn:enhancement-12d0a00d-4f51-05f8-f9ce-76817f4cd543" : {
      "annotationId" : "urn:enhancement-12d0a00d-4f51-05f8-f9ce-76817f4cd543",
      "start" : 61,
      "end" : 64,
      "text" : "IDs",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Station_identification"
      } ]
    },
    "urn:enhancement-7a6b5c21-ddc6-2a8c-f61f-10cf04e47200" : {
      "annotationId" : "urn:enhancement-7a6b5c21-ddc6-2a8c-f61f-10cf04e47200",
      "start" : 5,
      "end" : 12,
      "text" : "article",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Article_(publishing)"
      } ]
    },
    "urn:enhancement-a2e0fa56-83ec-04d3-ad59-ae36bc126ba6" : {
      "annotationId" : "urn:enhancement-a2e0fa56-83ec-04d3-ad59-ae36bc126ba6",
      "start" : 155,
      "end" : 159,
      "text" : "find",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Find"
      } ]
    },
    "urn:enhancement-904ecc4f-2b0a-587c-5398-631679e06433" : {
      "annotationId" : "urn:enhancement-904ecc4f-2b0a-587c-5398-631679e06433",
      "start" : 68,
      "end" : 72,
      "text" : "gain",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Gain"
      } ]
    },
    "urn:enhancement-fda43eed-9ff5-1ccd-fda4-016ebf2cabf5" : {
      "annotationId" : "urn:enhancement-fda43eed-9ff5-1ccd-fda4-016ebf2cabf5",
      "start" : 200,
      "end" : 204,
      "text" : "lead",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Lead"
      } ]
    },
    "urn:enhancement-0888643a-44bc-7bcd-0dfb-eaeb80e97752" : {
      "annotationId" : "urn:enhancement-0888643a-44bc-7bcd-0dfb-eaeb80e97752",
      "start" : 93,
      "end" : 97,
      "text" : "data",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Data"
      } ]
    },
    "urn:enhancement-cfc077d8-1907-d044-74ed-4155e9c5ab61" : {
      "annotationId" : "urn:enhancement-cfc077d8-1907-d044-74ed-4155e9c5ab61",
      "start" : 33,
      "end" : 36,
      "text" : "use",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Use_(law)"
      } ]
    },
    "urn:enhancement-916fdca3-ca40-7d29-83ed-b2e962ccd3b2" : {
      "annotationId" : "urn:enhancement-916fdca3-ca40-7d29-83ed-b2e962ccd3b2",
      "start" : 215,
      "end" : 218,
      "text" : "SEO",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Search_engine_optimization"
      } ]
    },
    "urn:enhancement-4a7dc82a-6cc9-45b7-9e48-00fb348fc439" : {
      "annotationId" : "urn:enhancement-4a7dc82a-6cc9-45b7-9e48-00fb348fc439",
      "start" : 127,
      "end" : 135,
      "text" : "business",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Business"
      } ]
    },
    "urn:enhancement-76d870c3-8eec-8a60-dfd7-e546eed5f9c6" : {
      "annotationId" : "urn:enhancement-76d870c3-8eec-8a60-dfd7-e546eed5f9c6",
      "start" : 37,
      "end" : 44,
      "text" : "Machine",
      "entityMatches" : [ {
        "confidence" : 1.0,
        "entityId" : "http://dbpedia.org/resource/Political_machine"
      } ]
    }
  },
  "images" : [ {
    "label" : "",
    "url" : "http://upload.wikimedia.org/wikipedia/commons/5/55/New_York's_New_Solar_System2.jpg"
  }, {
    "label" : "",
    "url" : "http://upload.wikimedia.org/wikipedia/commons/1/1d/Heraldic_Shield_Or.svg"
  }, {
    "label" : "",
    "url" : "http://upload.wikimedia.org/wikipedia/commons/6/63/Lead-2.jpg"
  }, {
    "label" : "",
    "url" : "http://upload.wikimedia.org/wikipedia/commons/4/41/Yahoo_google_Haifa.jpg"
  }, {
    "label" : "",
    "url" : "http://upload.wikimedia.org/wikipedia/commons/9/99/Venn0001.svg"
  } ],
  "languages" : [ ],
  "topics" : [ ],
  "timeTaken" : null,
  "analysisTimeTaken" : null,
  "content" : null
}

Linked Data

The Linked Data end-point accepts SPARQL queries to select, insert, update and delete data.

Whenever data is changed, it’s necessary to call the Index Data to make the changes available for Content Analysis.

Insert, Update and Delete Data

Send a SPARQL Update query to the Linked Data end-point. See the SPARQL 1.1 Update documentation for mode details about SPARQL Update.

Path Parameters

Table 2. /datasets/key={key}/queries
Parameter Description

key

WordLift’s key.

Sample Request Body

INSERT DATA { <http://example.org> a <http://example.org/Text> . }

Sample HTTP Request

POST /datasets/key=abc123/queries HTTP/1.1
Content-Type: text/plain
Host: api.wordlift.it
Content-Length: 66

INSERT DATA { <http://example.org> a <http://example.org/Text> . }

Sample CURL Request

$ curl 'https://api.wordlift.it/datasets/key=abc123/queries' -i -X POST \
    -H 'Content-Type: text/plain' \
    -d 'INSERT DATA { <http://example.org> a <http://example.org/Text> . }'

Sample Response

If the request succeeds, the server returns a 200-OK status code.

HTTP/1.1 200 OK
Content-Type: text/plain;charset=UTF-8

Index Data

When data has changed, it is necessary to call the the index API to make the data available to the Content Analysis.

Path Parameters

Table 3. /datasets/key={key}/index
Parameter Description

key

WordLift’s key.

Sample HTTP Request

POST /datasets/key=abc123/index HTTP/1.1
Host: api.wordlift.it

Sample CURL Request

$ curl 'https://api.wordlift.it/datasets/key=abc123/index' -i -X POST

Sample HTTP Response

HTTP/1.1 200 OK
Content-Type: text/plain;charset=UTF-8
Content-Length: 105

{
    "reason": "OK",
    "code": 200,
    "message": "Dataset successfully enqueued for releasing..."
}

Query Data

Send a SPARQL Query to the Linked Data end-point. See the SPARQL 1.1 Query Language documentation for mode details about SPARQL Query.

Following is an example for the query SELECT ( COUNT( * ) AS ?count ) WHERE { ?s ?p ?o . }.

Path Parameters

Table 4. /datasets/key={key}/queries
Parameter Description

key

WordLift’s key.

Request Parameters

Parameter Description

q

SPARQL Select query.

Request Headers

The Accept request header is used to decide the output format.

Name Description

Accept

The desired content type, one of application/json, text/csv, text/tabs-separated-values or text/xml.

Sample HTTP Request

GET /datasets/key=abc123/queries?q=SELECT%20(%20COUNT(%20*%20)%20AS%20?count%20)%20WHERE%20%7B%20?s%20?p%20?o%20.%20%7D HTTP/1.1
Accept: text/csv
Host: api.wordlift.it

Sample CURL Request

$ curl 'https://api.wordlift.it/datasets/key=abc123/queries?q=SELECT%20(%20COUNT(%20*%20)%20AS%20?count%20)%20WHERE%20%7B%20?s%20?p%20?o%20.%20%7D' -i -X GET \
    -H 'Accept: text/csv'

Sample Response

If the request succeeds, the server returns a 200-OK status code and the body contains the results according to the request output format.

CSV
HTTP/1.1 200 OK
Content-Type: text/csv;charset=UTF-8
Content-Length: 14

count
27136
JSON
HTTP/1.1 200 OK
Content-Type: application/json;charset=UTF-8
Content-Length: 240

{
  "head" : {
    "vars" : [ "count" ]
  },
  "results" : {
    "bindings" : [ {
      "count" : {
        "datatype" : "http://www.w3.org/2001/XMLSchema#integer",
        "type" : "literal",
        "value" : "27136"
      }
    } ]
  }
}
Tabs
HTTP/1.1 200 OK
Content-Type: text/tabs-separated-values;charset=UTF-8
Content-Length: 61

?count
"27136"^^<http://www.w3.org/2001/XMLSchema#integer>
XML
HTTP/1.1 200 OK
Content-Type: text/xml;charset=UTF-8
Content-Length: 316

<?xml version='1.0' encoding='UTF-8'?>
<sparql xmlns='http://www.w3.org/2005/sparql-results#'>
	<head>
		<variable name='count'/>
	</head>
	<results>
		<result>
			<binding name='count'>
				<literal datatype='http://www.w3.org/2001/XMLSchema#integer'>27136</literal>
			</binding>
		</result>
	</results>
</sparql>

Download Data

To download the entire dataset, use the download data end-point. The output file format is application/ld+json.

Path Parameters

Table 5. /datasets/key={key}/dataset.json
Parameter Description

key

WordLift’s key.

Sample HTTP Request

GET /datasets/key=abc123/dataset.json HTTP/1.1
Host: api.wordlift.it

Sample CURL Request

$ curl 'https://api.wordlift.it/datasets/key=abc123/dataset.json' -i -X GET

Autocomplete

Use the autocomplete end-point to find entities in local and remote datasets by providing a partial text.

Request Parameters

Parameter Description

key

WordLift’s key.

query

The text to search.

language

The target language.

scope

The search scope, local or cloud to look also for results from Wikidata.

limit

The maximum number of results.

exclude

List of entities' ids to exclude.

Sample HTTP Request

GET /autocomplete?key=abc123&query=Andrea%20Volpini&language=en&scope=cloud&limit=10&exclude=http://example.org/Test HTTP/1.1
Host: api.wordlift.it

Sample CURL Request

$ curl 'https://api.wordlift.it/autocomplete?key=abc123&query=Andrea%20Volpini&language=en&scope=cloud&limit=10&exclude=http://example.org/Test' -i -X GET

Response Headers

Name Description

Content-Type

Always application/json;charset=UTF-8.

Response Fields

Path Type Description

[].id

String

Entity’s id.

[].labels

Array

Entity’s labels.

[].descriptions

Array

Entity’s descriptions.

[].types

Array

Entity’s types.

[].urls

Array

Entity’s urls.

[].images

Array

Entity’s images.

[].sameAss

Array

Entity’s sameAs values.

[].scope

String

Entity’s score: local when the entity is from the local dataset, network when the entity is from a dataset from the WordLift’s Cloud or cloud when the entity comes from elsewhere e.g. Wikidata.

[].value

String

A concatenation of the id and sameAss values separated by the \u2063 character.

[].label

String

The main label.

[].displayTypes

String

The list of types, comma separated.

Sample HTTP Response

HTTP/1.1 200 OK
Content-Type: application/json;charset=UTF-8
Content-Length: 1775

[ {
  "id" : "http://data.wordlift.io/wl040/entity/andrea_volpini",
  "labels" : [ "Andrea Volpini" ],
  "descriptions" : [ ],
  "types" : [ "http://schema.org/Thing" ],
  "urls" : [ "http://example.org/?entity=andrea-volpini" ],
  "images" : [ ],
  "sameAss" : [ "http://data.redlink.io/353/wordlift/entity/Andrea_Volpini" ],
  "scope" : "network",
  "value" : "http://data.wordlift.io/wl040/entity/andrea_volpini⁣http://data.redlink.io/353/wordlift/entity/Andrea_Volpini",
  "label" : "Andrea Volpini",
  "displayTypes" : "Thing"
}, {
  "id" : "http://www.wikidata.org/entity/Q3616109",
  "labels" : [ "Andrea Volpini" ],
  "descriptions" : [ ],
  "types" : [ "http://schema.org/Person", "http://schema.org/Thing" ],
  "urls" : [ ],
  "images" : [ ],
  "sameAss" : [ ],
  "scope" : "cloud",
  "value" : "http://www.wikidata.org/entity/Q3616109",
  "label" : "Andrea Volpini",
  "displayTypes" : "Person"
}, {
  "id" : "http://www.wikidata.org/entity/Q16526430",
  "labels" : [ "Andrea Volpini" ],
  "descriptions" : [ "Italian poet" ],
  "types" : [ "http://schema.org/Person", "http://schema.org/Thing" ],
  "urls" : [ ],
  "images" : [ ],
  "sameAss" : [ ],
  "scope" : "cloud",
  "value" : "http://www.wikidata.org/entity/Q16526430",
  "label" : "Andrea Volpini",
  "displayTypes" : "Person"
}, {
  "id" : "http://www.wikidata.org/entity/Q28085380",
  "labels" : [ "Andrea Volpini" ],
  "descriptions" : [ "Co-Founder of InSideOut10 and WordLift" ],
  "types" : [ "http://schema.org/Person", "http://schema.org/Thing" ],
  "urls" : [ ],
  "images" : [ ],
  "sameAss" : [ "https://g.co/kg/m/0djtw2h" ],
  "scope" : "cloud",
  "value" : "http://www.wikidata.org/entity/Q28085380⁣https://g.co/kg/m/0djtw2h",
  "label" : "Andrea Volpini",
  "displayTypes" : "Person"
} ]