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V---------------[this is COSTA RICA !!! and Costa Verda]---------------V
^-[this]-V-[is]-V-[COSTA]-V-[RICA]-V-[!!!]-V-[and]-V-[Costa]-V-[Verda]-^
^-[costa]-^-[rica]-^ ^-[costa]-^-[verda]-^
^--[{_geoname_}]---^ ^---[{_geoname_}]---^

Excerpt

Identifies geo locations, based on the patterns loaded.


Operates On:  Lexical Items with TOKEN and possibly other flags as specified below.

Saga_is_recognizer

Include Page
Generic Configuration Parameters
Generic Configuration Parameters

Configuration Parameters

  • Parameter
    summarydescription
    defaultcheese
    nameparameter

    • Explanation


Saga_config_stage
boundaryFlagstext block split
"parameter": "something something"

Example Output

Saga_graph
V---------------[this is COSTA RICA !!! and Costa Verda]---------------V 
^-[this]-V-[is]-V-[COSTA]-V-[RICA]-V-[!!!]-V-[and]-V-[Costa]-V-[Verda]-^ 
                ^-[costa]-^-[rica]-^               ^-[costa]-^-[verda]-^ 
                ^--[{_geoname_}]---^               ^---[{_geoname_}]---^ 

Output Flags

Lex-Item Flags:

  • SEMANTIC_TAG - Identifies all lexical items that are semantic tags.
  • GEONAME- Identifies a geographical location name.

Vertex Flags:

Info

No vertices are created in this stage

Resource Data

Entity Dictionary Format

The only file that is absolutely required is the geonames dictionary. It is a series of JSON records, typically indexed by entity ID.

Each JSON record represents an entity. The format is as follows:

Saga_json
TitleEntity Json Format
"_id" : "KGAAJGsBemSwA0nZTLXA",
"id" : 3621815,
"display" : "San Juan",
"patterns" : [
  "San Juan"
],
"tag" : "DDfO1HABPr3bu3tFxDT4",
"fields" : {
  "feature class" : "P",
  "feature code" : "PPL",
  "admin3 code" : "20203",
  "timezone" : "America/Costa_Rica",
  "country code" : "CR",
  "admin1 code" : "01",
  "location" : {
    "lon" : -84.4654,
    "lat" : 10.10676
  },
  "modification date" : "2016-09-07",
  "admin2 code" : "202",
  "dem" : 1093,
  "population" : 0
},
"confAdjust" : 1.0
Note
  • Multiple entries can have the same pattern. If the pattern is matched, then it will be tagged with multiple (ambiguous) entry IDs.
  • Additional fielded data can be added to the record; as needed by downstream processes.

Fields

  • Parameter
    summaryAn ID normally refering the ID of a database, a document, an API key, not necessary unique
    nameid
    requiredtrue
  • Parameter
    summaryTag which will identify any match in the graph, as an interpretation
    nametag
    requiredtrue

    • These will all be added to the interpretation graph with the SEMANTIC_TAG flag.

  • Parameter
    summaryA list of patterns to match in the content
    namepatterns
    typestring array
    requiredtrue
    • Patterns will be tokenized and there may be multiple variations which can match.

      Note

      Currently, tokens are separated on simple white-space and punctuation, and then reduced to lowercase.

  • Parameter
    summaryWhat to show the user when browsing this entity
    namedisplay

  • Parameter
    summaryFree space to add extra data in any format supported by JSON
    namefields
    typejson

Include Page
Generic Resource Fields
Generic Resource Fields

GeoName Index

To improve performance especially for every large databases of entities, the entity dictionary is inverted and indexed.

This currently happens in RAM inside the GeoNames stage. An off-line option for pre-inverting the dictionary will be provided in the future.