Publishing Orthology and Diseases Information in the Linked Open Data Cloud

被引:0
作者
Minarro-Gimenez, Jose A. [2 ]
Egana-Aranguren, Mikel [1 ]
Villazon-Terrazas, Boris [1 ]
Fernandez-Breis, Jesualdo T. [2 ]
机构
[1] Univ Politecn Madrid, Sch Comp Sci, Ontol Engn Grp, Boadilla Del Monte, Spain
[2] Univ Murcia, Fac Informat, Murcia, Spain
关键词
Genetic disease; linked (open) data; orthologs; RDF; semantic web SPARQL and OWL; KNOWLEDGE; ONTOLOGY;
D O I
10.2174/157489312802460811
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The Linked Data initiative offers a straight method to publish structured data in the World Wide Web and link it to other data, resulting in a world wide network of semantically codified data known as the Linked Open Data cloud. The size of the Linked Open Data cloud, i.e. the amount of data published using Linked Data principles, is growing exponentially, including life sciences data. However, key information for biological research is still missing in the Linked Open Data cloud. For example, the relation between orthologs genes and genetic diseases is absent, even though such information can be used for hypothesis generation regarding human diseases. The OGOLOD system, an extension of the OGO Knowledge Base, publishes orthologs/diseases information using Linked Data. This gives the scientists the ability to query the structured information in connection with other Linked Data and to discover new information related to orthologs and human diseases in the cloud.
引用
收藏
页码:255 / 266
页数:12
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