Exploratory search over social-medical data

Haggai Roitman, Sivan Yogev, Yevgenia Tsimerman, Dae Won Kim, Yossi Mesika

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In this demo we shall present the IBM Patient Empowerment System (PES), and more specifically, its social-medical discovery sub-system. Social and medical data are represented using entities and relationships and are explored using a combination of expressive, yet intuitive, query language, faceted search, and ER graph navigation. While this demonstration focuses on the healthcare domain, the underlining search technology is generic and can be utilized in many other domains. Therefore, this demo has two main contributions. First, we present a novel entity-relationship indexing and retrieval solution, and discuss its implementation challenges. Second, the demonstration depicts a practical entity-relationship discovery technology in a real domain setting within a real IBM system.

Original languageEnglish
Title of host publicationCIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Pages2513-2516
Number of pages4
DOIs
StatePublished - 13 Dec 2011
Externally publishedYes
Event20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow, United Kingdom
Duration: 24 Oct 201128 Oct 2011

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference20th ACM Conference on Information and Knowledge Management, CIKM'11
Country/TerritoryUnited Kingdom
CityGlasgow
Period24/10/1128/10/11

Keywords

  • entity-relationship data
  • exploratory search
  • IBM patient empowerment system
  • social-medical discovery

ASJC Scopus subject areas

  • Decision Sciences (all)
  • Business, Management and Accounting (all)

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