Biotea: semantics for Pubmed Central

PeerJ

article

Alexander Garcia¹  Federico Lopez²  Leyla Garcia³  Olga Giraldo¹  Victor Bucheli²  Michel Dumontier⁴ 

[1] Ontology Engineering Group, Universidad Politécnica de Madrid;Escuela de Ingeniería de Sistemas y Computación, Universidad del Valle;Temporal Knowledge Bases Group, Department of Computer Languages and Systems, Universitat Jaume I;Maastricht University, Institute of Data Science

关键词: Semantic web;    Ontology;    Linked data;    RDF;    SPARQL;    Semantic;   

DOI  :  10.7717/peerj.4201

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

A significant portion of biomedical literature is represented in a manner that makes it difficult for consumers to find or aggregate content through a computational query. One approach to facilitate reuse of the scientific literature is to structure this information as linked data using standardized web technologies. In this paper we present the second version of Biotea, a semantic, linked data version of the open-access subset of PubMed Central that has been enhanced with specialized annotation pipelines that uses existing infrastructure from the National Center for Biomedical Ontology. We expose our models, services, software and datasets. Our infrastructure enables manual and semi-automatic annotation, resulting data are represented as RDF-based linked data and can be readily queried using the SPARQL query language. We illustrate the utility of our system with several use cases. Our datasets, methods and techniques are available at http://biotea.github.io.

【 授权许可】

CC BY