We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

#Haystack: Semantic Search Ecosystem

Formale Metadaten

Titel
#Haystack: Semantic Search Ecosystem
Serientitel
Anzahl der Teile
48
Autor
Mitwirkende
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
EBSCO Health's Search Team applies user intent analysis to increase precision and reduce the time it takes to answer critical medical questions. Learn about the key areas of our search ecosystem that come together to deliver semantic search results for clinicians. We will kick off the discussion with a deep dive into our content enrichment process. We will explore how our Medical Knowledge Graph semantically enhances our content and enables us to disambiguate context. We will then review how we leverage implicit and explicit user signals to help us understand intent. These signals allow us to dynamically generate runtime specific search strategies against Elasticsearch. Finally, we will discuss how we gather judgement lists from subject matter experts and leverage evaluation tools to tune our search results. Please join us as we explore the challenges of building semantic search for the medical domain.