December 2020

Conference Paper

Automated Indexing of Structured Scientific Metadata Using Apache Solr

By:
Guntupally, Kavya ; Dumas, Kyle K; Darnell, Wade J; Crow, Michael C; Devarakonda, Ranjeet ; Prakash, Giri
Page Number:
5685-5687
Issue Number:
1
Book Title:
2020 IEEE International Conference on Big Data (Big Data)
Publication Date:
December 2020
Publisher Location:
IEEE, District of Columbia, United States of America
Conference Name:
IEEE International Conference on Big Data
Conference Location:
Virtual, Georgia, United States of America
Conference Sponsor:
IEEE
View DOI Listing:
https://doi.org/10.1109/BigData50022.2020.9378448

Abstract

Scientific datasets are continuously growing with the amount of raw data being collected worldwide. This amount of data poses the biggest challenge to web search engines on how to retrieve them efficiently. This paper discusses how major scientific data centers are using popular open-source search platforms such as Solr [1] to retrieve structured data stored in data sources such as relational database management systems using its import handler mechanisms [2]. Additionally, we will also focus on how we can configure Solr to serve advanced full-text, faceted search capabilities, along with its key features, which simplify representing and delivering better performance to the scientific search interfaces.

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