Paper Info
Title
A Semantic Layer for Unifying and Exploring Biomedical Document Curation Results.
Abstract
Tackling the ever-growing amount of specialized literature in the life sciences domain is a paramount challenge. Various scientific workflows depend on using domain knowledge from resources that summarize, in structured form, validated information extracted from scientific publications. Manual curation of these data is a demanding task, and latest strategies use computerized solutions to aid in the analysis, extraction and storage of relevant concepts and their respective attributes and relationships. The outcome of these complex document curation workflows provides valuable insights into the overwhelming amount of biomedical information being produced. Yet, the majority of automated and interactive annotation tools are not open, limiting access to knowledge and reducing the potential scope of the manually curated information. In this manuscript, we propose an interoperable semantic layer to unify document curation results and enable their proper exploration through multiple interfaces geared towards bioinformatics developers and general life sciences researchers. This enables a unique scenario where results from computational annotation tools are harmonized and further integrated into rich semantic knowledge bases, providing a solid foundation for discovering knowledge.
Year
DOI
Venue
2015
10.1007/978-3-319-16483-0_2
BIOINFORMATICS AND BIOMEDICAL ENGINEERING (IWBBIO 2015), PT I
Keywords
Field
DocType
Document curation,text-mining,semantic web,knowledge discovery,data integration
Semantic memory,Data integration,World Wide Web,Annotation,Domain knowledge,Computer science,Interoperability,Semantic Web,Knowledge extraction,Workflow
Conference
Volume
ISSN
Citations 
9043
0302-9743
0
PageRank 
References 
Authors
0.34
19
5
Name
Order
Citations
PageRank
Pedro Sernadela133.80
Pedro Lopes2255.94
David Campos321910.69
Sérgio Matos441529.51
José Luis Oliveira576084.03