Concept "Full text queries > match_phrase (aka proximity)"

About In this context… What links here? CONTENT [edit] EntityType "Concept" Keywords/Contexts Annotations HasElasticConceptType::QueryType PerformsAnalysisBeforeSearching::True [edit] [edit] Main Page ‎ (← links) Contexts ‎ (← links) Concept ‎ (← links) Template:EntitiesByEntityType ‎ (← links) Property:HasEntityType ‎ (← links) Property:HasEntityTitle ‎ (← links) Property:HasEntityTypeAndEntityTitle ‎ (← links) Property:HasElasticConceptType ‎ (← links) Elasticsearch ‎ (← links) Concept "Document Text Analysis" ‎ (← links) Property:PerformsAnalysisBeforeSearching ‎ (← links) [edit] See below…

• does take a single field; does not take multiple fields

https://marcobonzanini.com/2015/02/09/phrase-match-and-proximity-search-in-elasticsearch/

• if we need to match all the query terms in their relative position

Proximity Search

• the order of the terms doesn’t really matter, as long as they occur somehow within the same context
• flag slop: define the search window, so how far we allow the terms to be

Within-Sentence Proximity Search

• need to match terms occurring in a specific context
  • have a specific structure (sections, sentences, …)
  • but not a specific window/slop size
• https://www.elastic.co/guide/en/elasticsearch/reference/current/position-increment-gap.html
  • When indexing text fields with multiple values a "fake" gap is added between the values to prevent most phrase queries from matching across the values.

Examples

Query: "WikiAhoi Mitarbeiter"

Content: "Für die Arbeit im Wiki steht WikiAhoi Ihren Mitarbeiterinnen und Mitarbeitern gerne auch nach dem Rollout beratend zur Seite.".