Longlife: A platform for personalized search for health and life sciences

Patrick Ernst, Erisa Terolli, Gerhard Weikum

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

This work demonstrates Longlife: a system for semantically enhanced, personalized search of information about health issues and life-science topics. The system supports user-friendly access to entities, categories and free-text phrases in a corpus of 21 million documents, comprising scientific publications, clinical trials, encyclopedic articles, biomedical news and health forum posts. Search results can be personalized for two kinds of users: patients can provide descriptions of their health history, symptoms and therapies in layperson terms (as in health discussion forums), and doctors or researchers can target specific entities and categories (for disorders, symptoms, risk factors, drugs etc. – e.g., when searching on behalf of a patient).

Original languageEnglish
Pages (from-to)237-240
Number of pages4
JournalCEUR Workshop Proceedings
Volume2456
StatePublished - 2019
Event2019 ISWC Satellite Tracks (Posters and Demonstrations, Industry, and Outrageous Ideas), ISWC 2019-Satellites - Auckland, New Zealand
Duration: 26 Oct 201930 Oct 2019

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