Publication Guide

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Search guide

Simple search (one or multiple terms)

Example: EMA CrossOver

Results will match records with the terms EMA or CrossOver in any field. Note that stemming is applied so e.g. EMA will also match CrossOver. Search results are ranked according to an algorithm that takes your query terms into account.

You can require presence of both terms using either the + or AND operator:

Examples: +business +services or business AND services

You can require absence of one or more terms using either the - or NOT operator:

Examples: -EMA +CrossOver or NOT EMA AND CrossOver

Phrase search

Example: "business services"

Results will match records with the phrase business services in any field.

Field search

Example: metadata.title:Broadcom

Results will match records with the term Broadcom in the field metadata.title. If you want to search for multiple terms in the title you must group the terms using parenthesis:

Example: metadata.title:(Broadcom Microsoft)

Range search

Example: metadata.publication_date:[2022-01-01 TO 2022-02-01] (note, you must capitalize TO).

Results will match any record with a publication date between 2021-01-01 and 2022-01-01 (both dates inclusive).

Note that, partial dates are expanded to full dates, e.g.:

  • 2017 is expanded to 2017-01-01
  • 2017-06 is expanded to 2017-06-01

Use square brackets ([]) for inclusive ranges and use curly brackets ({}) for exclusive ranges, e.g.:

  • [2017 TO 2018} is equivalent to [2017-01-01 TO 2017-12-31] because of date expansion and exclusive upper bound.

Examples of other ranges:

  • metadata.publication_date:{* TO 2022-01-01}: All days until 2022.
  • metadata.publication_date:[2022-01-01 TO *]: All days from 2022.

Ranking/Sorting

By default all searches are sorted according to an internal ranking algorithm that scores each match against your query. In both the user interface and REST API, it's possible to sort the results by:

  • Most recent
  • Best match

Advanced concepts

Boosting

You can use the boost operator ^ when one term is more relevant than another. For instance, you can search for all records with the phrase business services in either title or description field, but rank records with the phrase in the title field higher:

Example: metadata.title:"corporation"^5 metadata.description:"business services"

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