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BioNex: A System For Biomedical News Event Exploration

Published: 07 August 2017 Publication History

Abstract

We demonstrate BioNex, a system to mine, rank and visualize biomedical news events. BioNex takes biomedical queries such as "Ebola virus disease" and retrieves the k most relevant news events for them. To achieve this we first mine the generic news events by clustering them on a daily basis using general named entities and textual features. These clusters are also tagged with disambiguated biomedical entities which aid in biomedical news event exploration. The clusters are then used to compute the importance scores for the event clusters based on a combination of textual, semantic, popularity and historical importance features. BioNex also visualizes the retrieved event clusters to highlight the top news events and corresponding news articles for the given query. The visualization also provides the context for news events using (1) a chain of historically relevant news event clusters, and (2) other non-biomedical events from the same day.

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Cited By

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  • (2020)Towards Question-based High-recall Information RetrievalACM Transactions on Information Systems10.1145/338864038:3(1-35)Online publication date: 18-May-2020
  • (2018)Distributed and Dynamic Clustering For News EventsProceedings of the 12th ACM International Conference on Distributed and Event-based Systems10.1145/3210284.3219774(254-257)Online publication date: 25-Jun-2018
  • (2018)Event2VecThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210136(1013-1016)Online publication date: 27-Jun-2018

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cover image ACM Conferences
SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
August 2017
1476 pages
ISBN:9781450350228
DOI:10.1145/3077136
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 August 2017

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Author Tags

  1. biological event exploration
  2. biomedical entities
  3. event clustering

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  • Research-article

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  • Danish Council for Independent Research

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SIGIR '17
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SIGIR '17 Paper Acceptance Rate 78 of 362 submissions, 22%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2020)Towards Question-based High-recall Information RetrievalACM Transactions on Information Systems10.1145/338864038:3(1-35)Online publication date: 18-May-2020
  • (2018)Distributed and Dynamic Clustering For News EventsProceedings of the 12th ACM International Conference on Distributed and Event-based Systems10.1145/3210284.3219774(254-257)Online publication date: 25-Jun-2018
  • (2018)Event2VecThe 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210136(1013-1016)Online publication date: 27-Jun-2018

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