Product

Cogito Intelligence API brings the power of semantic processing to your application or analysis pipeline, analyzing documents, web pages, tweets and any large data sets to enable Government, Intelligence, Law Enforcement Agencies (LEA) and Corporate Security customers to access and exploit some of their most strategic sources of information.

A state of the art software, Cogito Intelligence API is able to decipher the meaning and context in processed data, distinguishing between the high volume and various streams of Intelligence information, resolving ambiguities more effectively than keyword or statistics based solutions.

Cogito Intelligence API allows you to:

  • Add semantic features to your systems for knowledge management and OSINT
  • Analyze big data from COMINT
  • Enrich your data processing pipeline with social network analysis
  • Extract and structure info from internal documents
  • Save time and improve the efficiency of your existing Intelligence & Collaboration platforms

Cogito Intelligence API Key Features include:

  • Content Categorization and Fact Mining with specialized classification for Intelligence, LEA and Geography
  • Entity and Relationships Extraction with a focus on the Intelligence domain (world leaders, terrorist organizations, organized crime, unconventional weapons, geographic locations, etc.)
  • Name Recognition, Normalization and Identity Matching to support identification
  • Semantic Reasoning allows inferencing information not present within the text.

Backed by over a decade of intelligence sector experience, Cogito Intelligence API combines best of breed analytics software in a scalable platform that brings efficiency and speed to the process of acquiring, managing and sharing information.

Using advanced semantic processing, text mining, categorization and tagging, Cogito Intelligence API analyzes content, extracts entities as well as the relationships between entities, and normalizes names in text to support faster, more accurate evaluation of intelligence data.

With Cogito Intelligence API you can:

  • Take advantage of the only semantic-based system with a knowledge domain dedicated to crime and intelligence
  • Access a regularly updated knowledge base
  • Integrate semantic capabilities into your legacy technologies and analysis platforms to enhance their performance
  • Build new applications to improve your intelligence solutions for OSINT and COMINT
  • Manage large volumes of data with the accuracy and precision

Cogito Intelligence API provides Partners & System Integrators:

  • Dedicated support for sales
  • Customer specific and on-premise implementations
  • Solid SLA and 24/7 customer support
  • Free proof of concept testing available

Input messages

Input messages must be well-formed JSON objects, each containing a DOCUMENT field. The DOCUMENT field must contain the text you wish to analyze.

{
"DOCUMENT":"Here goes the text you want to analyze. Make sure the text you are submitting respects all constraints.\nEnjoy Cogito Intelligence API!"
}

Text to be analyzed can contain newline characters (newlines matter in Semantic!), must be at least 100and at most 10K characters long. At the moment, only English language texts are supported. Input text in languages other than English will be refused.

Error messages

A summary of error messages you might run into while using Cogito Intelligence API follows:

  • "COGITOIntelligenceAPI admits English text only at the moment. Please contact us to arrange a demo in your preferred language."
  • "This version requires text containing a minimum of 100 characters and a maximum of 10000. Please, contact us to arrange a demo with alternate features."
  • "Unauthorized Mashape request. Please, contact support@intelligenceapi.com for further information."
  • "Request does not contain a valid DOCUMENT field. Request discarded."
  • "Request unauthorized. Either a Mashape account or a valid private API KEY is required. Request discarded."
  • "COGITOIntelligenceAPI - invalid JSON syntax. Request discarded."

Support

Various levels of support services are available for paid service tiers. Please inquire for more information on Cogito Intelligence API commercial products and support options

Technical support: support@intelligenceapi.com

More information & LIVE DEMO: http://www.intelligenceapi.com/demo/

By consuming Cogito Intelligence API, you agree to the following Terms of Service between the consumer and Expert System SpA.

Last 7 days, UTC

Average Latency
188ms

Average Uptime
100.0%

Current Status
Online

  • No information
  • Outage
  • Disruption
  • Normal
Average latency determined from Mashape to API Response time

Simple & Straightforward Pricing

Pay as you go. No long-term contracts.

Categorization

HTTP 201 : Categorization Cri RESP POST/cat_cri
						{
  "RESPONSE": {
    "CATEGORIZATION": {
      "DOMAIN": [
        {
          "FREQUENCY": 49.68,
          "NAME": "Trafficking in human beings",
          "SCORE": 9345,
          "RULE": {
            "SCORE": 5340,
            "ID": 38909,
            "END": 92,
            "OPERAND": {
              "END": 91,
              "OPERAND": 0,
              "BEGIN": 75
            },
            "BEGIN": 0
          }
        },
        {
          "FREQUENCY": 12.52,
          "NAME": "Terrorism",
          "SCORE": 2355,
          "RULE": {
            "SCORE": 2190,
            "ID": 11568,
            "END": 184,
            "OPERAND": {
              "END": 111,
              "OPERAND": 0,
              "BEGIN": 101
            },
            "BEGIN": 94
          }
        }
      ],
      "FEATURE": "CRIME"
    },
    "DOCUMENT": "The world leaders met in New York to discuss UN's law enforcement against human trafficking. Recent terroristic attacks in Afghanistan were also reason of concern for the participants."
  }
}						
Crime & Offence Categorization

Categorize document based on Law Enforcement Agencies taxonomy.


Request Body

  • error – Internal server error.

    HTTP 500
HTTP 201 : Categorization Geo RESP POST/cat_geo
						{
  "RESPONSE": {
    "CATEGORIZATION": {
      "DOMAIN": [
        {
          "FREQUENCY": 0.48,
          "NAME": "Afghanistan",
          "SCORE": 90,
          "RULE": {
            "SCORE": 45,
            "ID": 30145,
            "END": 184,
            "OPERAND": {
              "END": 134,
              "OPERAND": 0,
              "BEGIN": 124
            },
            "BEGIN": 94
          }
        },
        {
          "FREQUENCY": 0.4,
          "NAME": "United States of America",
          "SCORE": 75,
          "RULE": {
            "SCORE": 30,
            "ID": 33093,
            "END": 92,
            "OPERAND": {
              "END": 32,
              "OPERAND": 0,
              "BEGIN": 25
            },
            "BEGIN": 0
          }
        },
        {
          "FREQUENCY": 0.4,
          "NAME": "New York State",
          "SCORE": 75,
          "RULE": {
            "SCORE": 30,
            "ID": 36877,
            "END": 92,
            "OPERAND": {
              "END": 32,
              "OPERAND": 0,
              "BEGIN": 25
            },
            "BEGIN": 0
          }
        }
      ],
      "FEATURE": "GEOGRAPHY"
    },
    "DOCUMENT": "The world leaders met in New York to discuss UN's law enforcement against human trafficking. Recent terroristic attacks in Afghanistan were also reason of concern for the participants."
  }
}						
Geographic Categorization

Categorize documents based on geographic taxonomy


Request Body

  • error – Internal server error.

    HTTP 500
HTTP 201 : Categorization Int RESP POST/cat_int
						{
  "RESPONSE": {
    "CATEGORIZATION": {
      "DOMAIN": [
        {
          "FREQUENCY": 7.97,
          "NAME": "International Organisation",
          "SCORE": 1500,
          "RULE": {
            "SCORE": 1500,
            "ID": 23904,
            "END": 92,
            "OPERAND": {
              "END": 46,
              "OPERAND": 0,
              "BEGIN": 45
            },
            "BEGIN": 0
          }
        },
        {
          "FREQUENCY": 12.52,
          "NAME": "Act of Terror",
          "SCORE": 2355,
          "RULE": {
            "SCORE": 2190,
            "ID": 11568,
            "END": 184,
            "OPERAND": {
              "END": 111,
              "OPERAND": 0,
              "BEGIN": 101
            },
            "BEGIN": 94
          }
        },
        {
          "FREQUENCY": 21.29,
          "NAME": "Summit",
          "SCORE": 4005,
          "RULE": {
            "SCORE": 4005,
            "ID": 26462,
            "END": 92,
            "OPERAND": [
              {
                "END": 16,
                "OPERAND": 0,
                "BEGIN": 4
              },
              {
                "END": 20,
                "OPERAND": 0,
                "BEGIN": 18
              }
            ],
            "BEGIN": 0
          }
        }
      ],
      "FEATURE": "INTELLIGENCE"
    },
    "DOCUMENT": "The world leaders met in New York to discuss UN's law enforcement against human trafficking. Recent terroristic attacks in Afghanistan were also reason of concern for the participants."
  }
}						
Intelligence Categorization

Categorize documents based on intelligence taxonomy


Request Body

  • error – Internal server error.

    HTTP 500

Entities Extraction

HTTP 201 : Organizations extraction RESP POST/tm_org
						{
  "RESPONSE": {
    "ORGANIZATIONS": {
      "ORGANIZATION": {
        "BASE": "Microsoft",
        "TRACKS": {
          "TRACK": {
            "END": 37,
            "BEGIN": 23
          }
        },
        "FIELD": [
          {
            "BASE": 2,
            "NAME": "ID"
          },
          {
            "BASE": "Microsoft corp.",
            "NAME": "ALIAS"
          }
        ],
        "FEATURE": "FULLNAME",
        "LINKED_SYNCONS": {
          "COUNT": 2,
          "LINKED_SYNCON": [
            {
              "NAME": "Country",
              "SYNCON": [
                {
                  "ID": 13849404,
                  "LEMMA": [
                    {
                      "TEXT": "Argentina"
                    },
                    {
                      "TEXT": "Argentine"
                    },
                    {
                      "TEXT": "Argentine Republic"
                    },
                    {
                      "TEXT": "La Argentina"
                    },
                    {
                      "TEXT": "República Argentina"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 13979802,
                  "LEMMA": [
                    {
                      "TEXT": "Mexico"
                    },
                    {
                      "TEXT": "México"
                    },
                    {
                      "TEXT": "Estados Unidos Mexicanos"
                    },
                    {
                      "TEXT": "Mexican Republic"
                    },
                    {
                      "TEXT": "Mexiko"
                    },
                    {
                      "TEXT": "Mexique"
                    },
                    {
                      "TEXT": "Mèssico"
                    },
                    {
                      "TEXT": "Méjico"
                    },
                    {
                      "TEXT": "Nueva España"
                    },
                    {
                      "TEXT": "Republica Mexicana"
                    },
                    {
                      "TEXT": "República Mejicana"
                    },
                    {
                      "TEXT": "República Méjico"
                    },
                    {
                      "TEXT": "United Mexican States"
                    },
                    {
                      "TEXT": "el país azteca"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 12907079,
                  "LEMMA": [
                    {
                      "TEXT": "Germany"
                    },
                    {
                      "TEXT": "Federal Republic of Germany"
                    },
                    {
                      "TEXT": "Deutschland"
                    },
                    {
                      "TEXT": "FRG"
                    },
                    {
                      "TEXT": "F.R.G."
                    },
                    {
                      "TEXT": "Ger."
                    },
                    {
                      "TEXT": "Bundesrepublik Deutschland"
                    },
                    {
                      "TEXT": "Duitschland"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 13160565,
                  "LEMMA": [
                    {
                      "TEXT": "Italy"
                    },
                    {
                      "TEXT": "Italia"
                    },
                    {
                      "TEXT": "Italian Republic"
                    },
                    {
                      "TEXT": "Ital."
                    },
                    {
                      "TEXT": "Italie"
                    },
                    {
                      "TEXT": "Italien"
                    },
                    {
                      "TEXT": "Repubblica Italiana"
                    },
                    {
                      "TEXT": "Republic of Italy"
                    },
                    {
                      "TEXT": "il Bel Paese"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 10794211,
                  "LEMMA": [
                    {
                      "TEXT": "Romania"
                    },
                    {
                      "TEXT": "Rom."
                    },
                    {
                      "TEXT": "Roumania"
                    },
                    {
                      "TEXT": "Rumania"
                    },
                    {
                      "TEXT": "România"
                    },
                    {
                      "TEXT": "Republica Populara Romîna"
                    },
                    {
                      "TEXT": "Republica Socialista România"
                    },
                    {
                      "TEXT": "Romanica"
                    },
                    {
                      "TEXT": "Romaniei"
                    },
                    {
                      "TEXT": "Romanya"
                    },
                    {
                      "TEXT": "Romînia"
                    },
                    {
                      "TEXT": "Roumanie"
                    },
                    {
                      "TEXT": "Rumanian People's Republic"
                    },
                    {
                      "TEXT": "Rumunija"
                    },
                    {
                      "TEXT": "Rumunsko"
                    },
                    {
                      "TEXT": "Rumänien"
                    },
                    {
                      "TEXT": "Socialist Republic of Romania"
                    },
                    {
                      "TEXT": "Socialist Republic of Rumania"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 13453253,
                  "LEMMA": [
                    {
                      "TEXT": "Brazil"
                    },
                    {
                      "TEXT": "Brasil"
                    },
                    {
                      "TEXT": "Federative Republic of Brazil"
                    },
                    {
                      "TEXT": "Brasilien"
                    },
                    {
                      "TEXT": "Brasíle"
                    },
                    {
                      "TEXT": "Brésil"
                    },
                    {
                      "TEXT": "Estados Unidos do Brasil"
                    },
                    {
                      "TEXT": "Estados Unidos do Brazil"
                    },
                    {
                      "TEXT": "República Federativa do Brasil"
                    },
                    {
                      "TEXT": "República dos Estados Unidos do Brasil"
                    },
                    {
                      "TEXT": "United States of Brazil"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 12737184,
                  "LEMMA": [
                    {
                      "TEXT": "Netherlands"
                    },
                    {
                      "TEXT": "Holland"
                    },
                    {
                      "TEXT": "Kingdom of the Netherlands"
                    },
                    {
                      "TEXT": "Neth."
                    },
                    {
                      "TEXT": "Koninkrijk der Nederlanden"
                    },
                    {
                      "TEXT": "Nederland"
                    },
                    {
                      "TEXT": "Nederlanden"
                    },
                    {
                      "TEXT": "Niederlande"
                    },
                    {
                      "TEXT": "The Netherlands"
                    }
                  ],
                  "TYPE": "proper_noun"
                },
                {
                  "ID": 16223392,
                  "LEMMA": [
                    {
                      "TEXT": "United States of America"
                    },
                    {
                      "TEXT": "USA"
                    },
                    {
                      "TEXT": "United States"
                    },
                    {
                      "TEXT": "States"
                    },
                    {
                      "TEXT": "U.S.A."
                    },
                    {
                      "TEXT": "America"
                    },
                    {
                      "TEXT": "U.S."
                    },
                    {
                      "TEXT": "US"
                    }
                  ],
                  "TYPE": "proper_noun"
                }
              ]
            },
            {
              "NAME": "Supernomen",
              "SYNCON": [
                {
                  "ID": 37475,
                  "LEMMA": [
                    {
                      "TEXT": "company"
                    },
                    {
                      "TEXT": "firm"
                    },
                    {
                      "TEXT": "business concern"
                    },
                    {
                      "TEXT": "business organization"
                    },
                    {
                      "TEXT": "co"
                    },
                    {
                      "TEXT": "co."
                    },
                    {
                      "TEXT": "Co"
                    },
                    {
                      "TEXT": "Co."
                    },
                    {
                      "TEXT": "business firm"
                    },
                    {
                      "TEXT": "business organisation"
                    },
                    {
                      "TEXT": "business"
                    },
                    {
                      "TEXT": "bus."
                    },
                    {
                      "TEXT": "establishment"
                    },
                    {
                      "TEXT": "enterprise"
                    },
                    {
                      "TEXT": "undertaking"
                    },
                    {
                      "TEXT": "house"
                    },
                    {
                      "TEXT": "concern"
                    }
                  ],
                  "TYPE": "noun"
                },
                {
                  "ID": 192145,
                  "LEMMA": [
                    {
                      "TEXT": "computer business"
                    },
                    {
                      "TEXT": "computer company"
                    }
                  ],
                  "TYPE": "noun"
                }
              ]
            }
          ]
        },
        "SYNCON": {
          "ID": 20139206,
          "LEMMA": [
            {
              "TEXT": "Microsoft"
            },
            {
              "TEXT": "Microsoft Corp"
            },
            {
              "TEXT": "Microsoft Corp."
            },
            {
              "TEXT": "Microsoft Corporation"
            },
            {
              "TEXT": "Microsoft corp."
            },
            {
              "TEXT": "MS"
            }
          ],
          "DOMAIN": {
            "NAME": "software"
          },
          "GLOSS": "publicly-traded company in the field of Applications Software. It is linked to Germany, Netherlands, Argentina, USA, Mexico, Brazil, Italy, Romania. (Upd Mar 2013)",
          "TYPE": "proper_noun"
        }
      },
      "FEATURE": "LIST"
    },
    "DOCUMENT": "Bill Gates, founder of Microsoft corp., landed at the John F Kennedy International Airport to join the next committee meeting on Green Economy in New York."
  }
}						
Organizations Extraction

Extract organizations from documents


Request Body

  • error – Internal server error.

    HTTP 500
HTTP 201 : People extraction RESP POST/tm_ppl
						{
  "RESPONSE": {
    "DOCUMENT": "Bill Gates, founder of Microsoft corp., landed at the John F Kennedy International Airport to join the next committee meeting on Green Economy in New York.",
    "PEOPLE": {
      "PERSON": {
        "BASE": "Bill Gates",
        "TRACKS": {
          "TRACK": [
            {
              "END": 9,
              "BEGIN": 0
            },
            {
              "END": 18,
              "BEGIN": 12
            }
          ]
        },
        "FIELD": [
          {
            "BASE": 1,
            "NAME": "ID"
          },
          {
            "BASE": "M",
            "NAME": "SEX"
          },
          {
            "BASE": "Bill",
            "NAME": "NAME"
          },
          {
            "BASE": "Gates",
            "NAME": "SURNAME"
          }
        ],
        "FEATURE": "FULLNAME",
        "LINKED_SYNCONS": {
          "COUNT": 2,
          "LINKED_SYNCON": [
            {
              "NAME": "Supernomen",
              "SYNCON": [
                {
                  "ID": 44097,
                  "LEMMA": [
                    {
                      "TEXT": "businessman"
                    },
                    {
                      "TEXT": "businessperson"
                    },
                    {
                      "TEXT": "man of affairs"
                    }
                  ],
                  "TYPE": "noun"
                },
                {
                  "ID": 44412,
                  "LEMMA": {
                    "TEXT": "computer scientist"
                  },
                  "TYPE": "noun"
                },
                {
                  "ID": 45622,
                  "LEMMA": [
                    {
                      "TEXT": "important person"
                    },
                    {
                      "TEXT": "influential person"
                    },
                    {
                      "TEXT": "personage"
                    }
                  ],
                  "TYPE": "noun"
                },
                {
                  "ID": 45635,
                  "LEMMA": {
                    "TEXT": "industrialist"
                  },
                  "TYPE": "noun"
                }
              ]
            },
            {
              "NAME": "Country",
              "SYNCON": {
                "ID": 16223392,
                "LEMMA": [
                  {
                    "TEXT": "United States of America"
                  },
                  {
                    "TEXT": "USA"
                  },
                  {
                    "TEXT": "United States"
                  },
                  {
                    "TEXT": "States"
                  },
                  {
                    "TEXT": "U.S.A."
                  },
                  {
                    "TEXT": "America"
                  },
                  {
                    "TEXT": "U.S."
                  },
                  {
                    "TEXT": "US"
                  }
                ],
                "TYPE": "proper_noun"
              }
            }
          ]
        },
        "SYNCON": {
          "ID": 280206,
          "LEMMA": [
            {
              "TEXT": "Bill Gates"
            },
            {
              "TEXT": "Gates"
            }
          ],
          "DOMAIN": [
            {
              "NAME": "company"
            },
            {
              "NAME": "economics"
            }
          ],
          "GLOSS": "Founder and head of the Microsoft Corporation...",
          "TYPE": "proper_noun"
        }
      },
      "FEATURE": "LIST"
    }
  }
}						
People Extraction

Extract people from documents


Request Body

  • error – Internal server error.

    HTTP 500
HTTP 201 : Places extraction RESP POST/tm_plc
						{
  "RESPONSE": {
    "PLACES": {
      "PLACE": [
        {
          "BASE": "Economy",
          "TRACKS": {
            "TRACK": {
              "END": 141,
              "BEGIN": 135
            }
          },
          "FIELD": {
            "BASE": 3,
            "NAME": "ID"
          },
          "FEATURE": "FULLNAME"
        },
        {
          "BASE": "New York",
          "TRACKS": {
            "TRACK": {
              "END": 153,
              "BEGIN": 146
            }
          },
          "FIELD": [
            {
              "BASE": 4,
              "NAME": "ID"
            },
            {
              "BASE": "New York State/United States of America/North America",
              "NAME": "GEOREF"
            }
          ],
          "PROP": {
            "COORD": "40.71427/-74.00597"
          },
          "FEATURE": "FULLNAME",
          "LINKED_SYNCONS": {
            "COUNT": 2,
            "LINKED_SYNCON": [
              {
                "NAME": "Supernomen",
                "SYNCON": {
                  "ID": 39663,
                  "LEMMA": [
                    {
                      "TEXT": "city"
                    },
                    {
                      "TEXT": "town"
                    },
                    {
                      "TEXT": "toun"
                    }
                  ],
                  "TYPE": "noun"
                }
              },
              {
                "NAME": "Location",
                "SYNCON": {
                  "ID": 15108691,
                  "LEMMA": [
                    {
                      "TEXT": "New York State"
                    },
                    {
                      "TEXT": "Empire State"
                    },
                    {
                      "TEXT": "N.Y."
                    },
                    {
                      "TEXT": "NY"
                    },
                    {
                      "TEXT": "New York"
                    },
                    {
                      "TEXT": "Nova York"
                    },
                    {
                      "TEXT": "State of New York"
                    }
                  ],
                  "TYPE": "proper_noun"
                }
              }
            ]
          },
          "SYNCON": {
            "ID": 15108634,
            "LEMMA": [
              {
                "TEXT": "New York"
              },
              {
                "TEXT": "N.Y."
              },
              {
                "TEXT": "N.Y.C."
              },
              {
                "TEXT": "NY"
              },
              {
                "TEXT": "NYC"
              },
              {
                "TEXT": "New York City"
              },
              {
                "TEXT": "Big Apple"
              },
              {
                "TEXT": "The City of New York"
              }
            ],
            "DOMAIN": {
              "NAME": "geography"
            },
            "GLOSS": "city in New York State (United States of America/North America)",
            "TYPE": "proper_noun"
          }
        }
      ],
      "FEATURE": "LIST"
    },
    "DOCUMENT": "Bill Gates, founder of Microsoft corp., landed at the John F Kennedy International Airport to join the next committee meeting on Green Economy in New York."
  }
}						
Places Extraction

Extract places from documents


Request Body

  • error – Internal server error.

    HTTP 500

Fact Mining

HTTP 201 : Fact mining RESP POST/facts
						{
  "RESPONSE": {
    "DOCUMENT": "Tom Ratnikovsky shot to death his brother Jim while they were arguing in front of a bank in Berlin. They were part of a famous criminal gang, active since 2002.",
    "FACTMINING": [
      {
        "DOMAIN": {
          "NAME": "Crime",
          "RULE": [
            {
              "END": 98,
              "OPERAND": {
                "NAME": "shot",
                "END": 19,
                "BEGIN": 16
              },
              "BEGIN": 0,
              "ENTITY": [
                {
                  "NAME": "Tom Ratnikovsky",
                  "END": 14,
                  "BEGIN": 0,
                  "TYPE": "People"
                },
                {
                  "NAME": "Jim",
                  "END": 44,
                  "BEGIN": 42,
                  "TYPE": "People"
                },
                {
                  "NAME": "Berlin",
                  "END": 97,
                  "BEGIN": 92,
                  "TYPE": "Places"
                }
              ]
            },
            {
              "END": 159,
              "TOPIC": {
                "NAME": "Gang Activity"
              },
              "OPERAND": [
                {
                  "NAME": "criminal",
                  "END": 134,
                  "BEGIN": 127
                },
                {
                  "NAME": "gang",
                  "END": 139,
                  "BEGIN": 136
                }
              ],
              "BEGIN": 100,
              "ENTITY": {
                "NAME": 2002,
                "END": 158,
                "BEGIN": 155,
                "TYPE": "Date"
              }
            }
          ]
        },
        "FEATURE": "INTELLIGENCE"
      },
      {
        "DOMAIN": {
          "NAME": "Participation in a criminal organization",
          "RULE": {
            "END": 159,
            "OPERAND": {
              "NAME": "criminal gang",
              "END": 139,
              "BEGIN": 127
            },
            "BEGIN": 100,
            "ENTITY": {
              "NAME": 2002,
              "END": 158,
              "BEGIN": 155,
              "TYPE": "Date"
            }
          }
        },
        "FEATURE": "CRIME"
      },
      {
        "PLACE": {
          "NAME": "Berlin",
          "PROP": [
            {
              "COORD": "52.52437/13.41053"
            },
            {
              "REGION": "Berlin"
            },
            {
              "COUNTRY": "Germany"
            },
            {
              "CONTINENT": "Europe"
            }
          ],
          "DOMAIN": {
            "NAME": "Crime",
            "RULE": {
              "END": 98,
              "OPERAND": {
                "NAME": "shot",
                "END": 19,
                "BEGIN": 16
              },
              "BEGIN": 0,
              "ENTITY": [
                {
                  "NAME": "Tom Ratnikovsky",
                  "END": 14,
                  "BEGIN": 0,
                  "TYPE": "People"
                },
                {
                  "NAME": "Jim",
                  "END": 44,
                  "BEGIN": 42,
                  "TYPE": "People"
                },
                {
                  "NAME": "Berlin",
                  "END": 97,
                  "BEGIN": 92,
                  "TYPE": "Places"
                }
              ]
            }
          }
        },
        "FEATURE": "GEOGRAPHY"
      }
    ]
  }
}						
Fact Mining

Extract facts from documents, based on INTELLIGENCE, CRIME & OFFENCE and GEOGRAPHY taxonomies. Facts include actions involving intelligence-related entities.


Request Body

  • error – Internal server error.

    HTTP 500

Relationships Extraction

HTTP 201 : Relations RESP POST/relations
						{
  "RESPONSE": {
    "TEXTMINING": {
      "NODES": {
        "NODE": [
          {
            "content": "Microsoft",
            "ID": 1,
            "TYPE": "ORGANIZATION"
          },
          {
            "content": "Nokia",
            "ID": 2,
            "TYPE": "ORGANIZATION"
          }
        ]
      },
      "RELATIONS": {
        "REL": {
          "SOURCE": 1,
          "FREQ": 1,
          "TARGET": 2,
          "SENTENCE": {
            "TRACK": [
              {
                "ELEMENT": "VERB",
                "REL_BEGIN": 13,
                "REL_END": 21
              },
              {
                "ELEMENT": "TARGET",
                "REL_BEGIN": 0,
                "REL_END": 8
              },
              {
                "ELEMENT": "TARGET",
                "REL_BEGIN": 37,
                "REL_END": 41
              }
            ],
            "BASE": "Microsoft is acquiring almost all of Nokia's mobile business."
          },
          "VERB": "acquire",
          "TYPE": "POSSESSION"
        }
      },
      "FEATURE": "ENTITIESRELATIONS"
    },
    "DOCUMENT": "Microsoft is acquiring almost all of Nokia's mobile business. The event has not passed by unnoticed."
  }
}						
Relationships Extraction

Detect relationships between people, organizations and places


Request Body

  • error – Internal server error.

    HTTP 500

Tagging

HTTP 201 : Concepts identification RESP POST/maininfo
						{
  "RESPONSE": {
    "TAGGING": {
      "LEMMA": [
        {
          "TRACK": [
            {
              "END": 70,
              "BEGIN": 63
            },
            {
              "END": 429,
              "BEGIN": 423
            },
            {
              "END": 641,
              "BEGIN": 634
            }
          ],
          "SCORE": 15,
          "LABEL": "accused",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 682,
            "BEGIN": 676
          },
          "SCORE": 6.8,
          "LABEL": "carnage",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 282,
            "BEGIN": 277
          },
          "SCORE": 6.6,
          "LABEL": "jacket",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 716,
            "BEGIN": 702
          },
          "SCORE": 6.6,
          "LABEL": "law enforcement",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 12,
            "BEGIN": 0
          },
          "SCORE": 6.5,
          "LABEL": "detective",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 249,
            "BEGIN": 245
          },
          "SCORE": 6.2,
          "LABEL": "shirt",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 314,
            "BEGIN": 303
          },
          "SCORE": 5.9,
          "LABEL": "baseball cap",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 594,
            "BEGIN": 588
          },
          "SCORE": 5.9,
          "LABEL": "footage",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 761,
            "BEGIN": 749
          },
          "SCORE": 5.2,
          "LABEL": "investigation",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 378,
            "BEGIN": 373
          },
          "SCORE": 4.3,
          "LABEL": "Boston",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 464,
            "BEGIN": 457
          },
          "SCORE": 4.1,
          "LABEL": "backpack",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 35,
            "BEGIN": 30
          },
          "SCORE": 3.7,
          "LABEL": "public",
          "TYPE": "syncon"
        },
        {
          "TRACK": {
            "END": 740,
            "BEGIN": 732
          },
          "SCORE": 3.2,
          "LABEL": "knowledge",
          "TYPE": "syncon"
        },
        {
          "TRACK": [
            {
              "END": 70,
              "BEGIN": 63
            },
            {
              "END": 196,
              "BEGIN": 190
            },
            {
              "END": 429,
              "BEGIN": 423
            },
            {
              "END": 641,
              "BEGIN": 634
            }
          ],
          "SCORE": 13,
          "LABEL": "suspect",
          "TYPE": "lemma"
        },
        {
          "TRACK": [
            {
              "END": 346,
              "BEGIN": 331
            },
            {
              "END": 389,
              "BEGIN": 388
            }
          ],
          "SCORE": 10,
          "LABEL": "Rick DesLauriers",
          "TYPE": "lemma"
        },
        {
          "TRACK": {
            "END": 788,
            "BEGIN": 774
          },
          "SCORE": 6.5,
          "LABEL": "Susan Candiotti",
          "TYPE": "lemma"
        },
        {
          "TRACK": {
            "END": 12,
            "BEGIN": 0
          },
          "SCORE": 5.7,
          "LABEL": "investigator",
          "TYPE": "lemma"
        },
        {
          "TRACK": {
            "END": 170,
            "BEGIN": 160
          },
          "SCORE": 2.4,
          "LABEL": "finish line",
          "TYPE": "lemma"
        },
        {
          "TRACK": {
            "END": 431,
            "BEGIN": 423
          },
          "SCORE": 30.7,
          "LABEL": "suspect 2",
          "TYPE": "group"
        },
        {
          "TRACK": {
            "END": 329,
            "BEGIN": 317
          },
          "SCORE": 22.1,
          "LABEL": "special agent",
          "TYPE": "group"
        },
        {
          "TRACK": {
            "END": 761,
            "BEGIN": 732
          },
          "SCORE": 13.2,
          "LABEL": "knowledge of the investigation",
          "TYPE": "group"
        },
        {
          "TRACK": {
            "END": 385,
            "BEGIN": 373
          },
          "SCORE": 7.7,
          "LABEL": "Boston office",
          "TYPE": "group"
        }
      ],
      "FEATURE": "MAINELEMENTS"
    },
    "DOCUMENT": "Investigators appealed to the public to help them identify two suspects.\nThe men were photographed walking down Boylston Street, one behind the other, near the finish line of Monday's race.\nSuspect 1 was seen wearing a light-colored, collarless shirt underneath a dark-colored jacket and wearing a dark baseball cap.\nSpecial Agent Rick DesLauriers is the head of the FBI's Boston office. He said that the man identified as Suspect 2 was seen setting down a backpack at the site of the second explosion \"within minutes\" of the blasts that killed three people and wounded nearly 180.\nOther footage, still unreleased, shows that the two suspects stayed at the scene to watch the carnage unfold, a federal law enforcement official with knowledge of the investigation told CNN's Susan Candiotti."
  }
}						
Most Relevant Concepts

Retrieve most relevant lemmas, concepts and collocations from documents


Request Body

  • error – Internal server error.

    HTTP 500
HTTP 201 : Summary RESP POST/summary
						{
  "RESPONSE": {
    "TAGGING": {
      "RELEVANT": [
        {
          "content": "Investigators appealed to the public to help them identify two suspects.",
          "TRACK": {
            "END": 71,
            "BEGIN": 0
          },
          "SCORE": 26.4
        },
        {
          "content": "Suspect 1 was seen wearing a light-colored, collarless shirt underneath a dark-colored jacket and wearing a dark baseball cap.",
          "TRACK": {
            "END": 315,
            "BEGIN": 190
          },
          "SCORE": 20.2
        },
        {
          "content": "Other footage, still unreleased, shows that the two suspects stayed at the scene to watch the carnage unfold, a federal law enforcement official with knowledge of the investigation told CNN's Susan Candiotti.",
          "TRACK": {
            "END": 789,
            "BEGIN": 582
          },
          "SCORE": 15.7
        }
      ],
      "FEATURE": "MAINSENTENCES"
    },
    "DOCUMENT": "Investigators appealed to the public to help them identify two suspects.\nThe men were photographed walking down Boylston Street, one behind the other, near the finish line of Monday's race.\nSuspect 1 was seen wearing a light-colored, collarless shirt underneath a dark-colored jacket and wearing a dark baseball cap.\nSpecial Agent Rick DesLauriers is the head of the FBI's Boston office. He said that the man identified as Suspect 2 was seen setting down a backpack at the site of the second explosion \"within minutes\" of the blasts that killed three people and wounded nearly 180.\nOther footage, still unreleased, shows that the two suspects stayed at the scene to watch the carnage unfold, a federal law enforcement official with knowledge of the investigation told CNN's Susan Candiotti."
  }
}						
Summary

Retrieve the most relevant sentences of documents


Request Body

  • error – Internal server error.

    HTTP 500

Text Mining

HTTP 201 : Text mining RESP POST/tm_dme
						{
  "RESPONSE": {
    "TEXTMINING": {
      "FEATURE": "DOM_SPECIFIC",
      "ENTITY": [
        {
          "REASONING": [
            {
              "VALUE": "missile",
              "ATTRIBUTE": "Is a"
            },
            {
              "VALUE": "air-to-ground missile",
              "ATTRIBUTE": "Is a"
            }
          ],
          "BASE": "Joint Air-to-Surface Standoff Missile",
          "TRACKS": {
            "TRACK": {
              "END": 6,
              "BEGIN": 2
            }
          },
          "GLOSS": "Nessuna glossa inserita",
          "TYPE": "Military Equipment"
        },
        {
          "REASONING": [
            {
              "VALUE": "religious association",
              "ATTRIBUTE": "Is a"
            },
            {
              "VALUE": "Saudi Sunni Insurgents",
              "ATTRIBUTE": "Affiliated to"
            },
            {
              "VALUE": "Pakistan",
              "ATTRIBUTE": "Country"
            }
          ],
          "BASE": "Al-Qaeda",
          "TRACKS": {
            "TRACK": {
              "END": 92,
              "BEGIN": 85
            }
          },
          "GLOSS": "a global militant Islamist organization founded by Osama bin Laden",
          "TYPE": "Designated Terrorist Organizations"
        },
        {
          "REASONING": [
            {
              "VALUE": "military installation",
              "ATTRIBUTE": "Is a"
            },
            {
              "VALUE": "United States Marine Corps",
              "ATTRIBUTE": "Owned by"
            },
            {
              "VALUE": "United States of America",
              "ATTRIBUTE": "Located in"
            }
          ],
          "BASE": "Beaufort Marine Corps Air Station",
          "TRACKS": {
            "TRACK": {
              "END": 52,
              "BEGIN": 20
            }
          },
          "GLOSS": "Military base, USMC Corp of the United States",
          "TYPE": "US Military Facility"
        }
      ]
    },
    "DOCUMENT": "A JASSM was shot in Beaufort Marine Corps Air Station during an exercise to contrast Al Qaeda in Middle East, as our correspondent John Smith reports."
  }
}						
Text Mining & Semantic Reasoning

Extract over 20 different intelligence-related entities from documents (e.g. world leaders, terrorist organizations, organized crime, unconventional weapons, most influential people, etc. ), and obtain further information from Semantic Reasoning inferences and glosses.


Request Body

  • error – Internal server error.

    HTTP 500

You must have an API key to test this API!


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