Call for Submissions
Ontologies are increasingly
used in the semantic description of biological and medical
data from creation to publication and consumption by
semantically enabled applications. To be effective ontologies
must be of high quality and work well together.
Techniques for ontology use, good ontology design, ontology maintenance, and ontology coordination. Research papers in the areas of the application of ontologies to biomedical problems, ontology design and ontology interoperability, at any stage in the process of data creation to its use in applications. Approaches to ontology building and use. Use of such ontologies in knowledge management, knowledge discovery and next-generation publishing.
Techniques for ontology use, good ontology design, ontology maintenance, and ontology coordination. Research papers in the areas of the application of ontologies to biomedical problems, ontology design and ontology interoperability, at any stage in the process of data creation to its use in applications. Approaches to ontology building and use. Use of such ontologies in knowledge management, knowledge discovery and next-generation publishing.
Important Dates
Submissions
All submissions will be evaluated by the ICBO committee, using the following criteria:
- Relevance and utility to ICBO attendees
- Quality of proposal
- Likelihood of success, taking into account qualifications and exprience of the submitters
- Complementarity with ICBO program and overlap with other
workshop or tutorials
Topics
Ontologies for biomedical research and clinical applications
Reports on ontologies for, and
their application in, high throughput omics data and systems
biology, toxicology and environmental health, disorders,
diseases, phenotypes and physiology, SNP variation and
pharmacogenomics, translational research and personalized
medicine, public health and electronic health care, are
invited.
Foundations and methodology
Papers on foundational and methodological issues pertaining to biomedical ontology are invited. Eligible topics are, though not limited to, the following; knowledge representation and reasoning, philosophical foundations of ontology, upper-level ontologies, topics in ontology engineering including design and life cycle, methodologies for knowledge elicitation and capture, ontology-oriented text mining techniques, ontology modularity, mapping, merging, and alignment of ontologies, and ontology evaluation.
Biomedical ontologies and the Semantic Web
Research on formal representation of biomedical knowledge using RDF and OWL, Identifiers, mappings & normalization, biomedical research using linked data, integration strategies using the linked open data cloud, visualization and manipulation of ontology, federation of online resources, workflows and semantic web services for biomedical knowledge discovery.
Social aspects of biomedical ontologies
Perpectives from biomedical ontologists on community standards, adoption, and proliferation of semantics, use of semantic wikis, bio-curation & crowdsourcing techniques, user engagement and feedback, semantic publishing and provenance, governance, evolution and sustainability.