2017 BioSearchASemanticSearchEnginef

From GM-RKB
Jump to navigation Jump to search

Subject Headings: Semantic Search System; Biosearch.

Notes

Cited By

Quotes

Abstract

Biomedical data are growing at an incredible pace and require substantial expertise to organize data in a manner that makes them easily findable, accessible, interoperable and reusable. Massive effort has been devoted to using Semantic Web standards and technologies to create a network of Linked Data for the life sciences, among others. However, while these data are accessible through programmatic means, effective user interfaces for non-experts to SPARQL endpoints are few and far between. Contributing to user frustrations is that data are not necessarily described using common vocabularies, thereby making it difficult to aggregate results, especially when distributed across multiple SPARQL endpoints. We propose BioSearch — a semantic search engine that uses ontologies to enhance federated query construction and organize search results. BioSearch also features a simplified query interface that allows users to optionally filter their keywords according to classes, properties and datasets. User evaluation demonstrated that BioSearch is more effective and usable than two state of the art search and browsing solutions.

References

;

 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2017 BioSearchASemanticSearchEnginefWei Hu
Honglei Qiu
Jiacheng Huang
Michel Dumontier
BioSearch: A Semantic Search Engine for Bio2RDF10.1093/database/bax0592017