Paper Info
Title
Publishing a Disease Ontologies as Linked Data.
Abstract
Publishing open data as linked data is a significant trend in not only the Semantic Web community but also other domains such as life science, government, media, geographic research and publication. One feature of linked data is the instance-centric approach, which assumes that considerable linked instances can result in valuable knowledge. In the context of linked data, ontologies offer a common vocabulary and schema for RDF graphs. However, from an ontological engineering viewpoint, some ontologies offer systematized knowledge, developed under close cooperation between domain experts and ontology engineers. Such ontologies could be a valuable knowledge base for advanced information systems. Although ontologies in RDF formats using OWL or RDF(S) can be published as linked data, it is not always convenient to use other applications because of the complicated graph structures. Consequently, this paper discusses RDF data models for publishing ontologies as linked data. As a case study, we focus on a disease ontology in which diseases are defined as causal chains.
Year
DOI
Venue
2013
10.1007/978-3-319-06826-8_10
Lecture Notes in Computer Science
Keywords
Field
DocType
Ontology,Linked data,Disease ontology,Ontological engineering
Ontology (information science),World Wide Web,Computer science,Open Biomedical Ontologies,Linked data,IDEF5,Simple Knowledge Organization System,Ontology components,RDF Schema,Web Ontology Language
Conference
Volume
ISSN
Citations 
8388
0302-9743
4
PageRank 
References 
Authors
0.52
7
5
Name
Order
Citations
PageRank
Kouji Kozaki124939.94
Yuki Yamagata2326.66
Takeshi Imai3427.31
Kazuhiko Ohe411515.91
Riichiro Mizoguchi51747271.45