Multimodal Retrieval in the Medical Domain [electronic resource] : First International Workshop, MRMD 2015, Vienna, Austria, March 29, 2015, Revised Selected Papers /

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Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 9059Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: VIII, 153 p. 35 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319244716

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.7 23

LOC classification:

QA76.575

Online resources:

Click here to access online

Contents:

Importance of data other than text for information retrieval -- Semantic data analysis -- Scalability approaches towards big data sets.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015. The workshop was held in connection with ECIR 2015. The 14 full papers presented, including one invited paper, a workshop overview and five papers on the VISCERAL Retrieval Benchmark, were carefully reviewed and selected from 18 submissions. The papers focus on the following topics: importance of data other than text for information retrieval; semantic data analysis; scalability approaches towards big data sets.

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Importance of data other than text for information retrieval -- Semantic data analysis -- Scalability approaches towards big data sets.

This book constitutes the proceedings of the First International Workshop on Multimodal Retrieval in the Medical Domain, MRMD 2015, held in Vienna, Austria, on March 29, 2015. The workshop was held in connection with ECIR 2015. The 14 full papers presented, including one invited paper, a workshop overview and five papers on the VISCERAL Retrieval Benchmark, were carefully reviewed and selected from 18 submissions. The papers focus on the following topics: importance of data other than text for information retrieval; semantic data analysis; scalability approaches towards big data sets.

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