#Haystack: Semantic Search Ecosystem
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| Title | #Haystack: Semantic Search Ecosystem |
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| Number of Parts | 48 |
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| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. |
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| 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. |
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