S4BioDiv: 2nd International Workshop on Semantics for Biodiversity

Країна: Австрія

Місто: Vienna

Тези до: 21.07.2017

Дати: 21.10.17 — 22.10.17

Область наук: Біологічні;

Е-мейл Оргкомітету: https://easychair.org/account/signin.cgi?key=54035503.TnEzFEbji8VdcJQj

Організатори: S4 BioDiv

 

Biodiversity research aims at comprehending the totality and variability of organisms, their morphology, genetics, life history, habitats and geographical ranges, it is usually used to refer to biological diversity at three levels: genetics, species, and ecology. Biodiversity is an outstanding domain that deals with heterogeneous datasets and concepts generated from a large number of disciplines in order to build a coherent picture of the extend of life on earth.   The presence of such a myriad of data resources makes integrative biodiversity increasingly important in the life sciences research. However, it is severely strangled by the way data and information are made available. The Semantic Web approach enhances data exchange, discovery, and integration by providing common formats to achieve a formalized conceptual environment.

This workshop aims to bring together computer scientists and biologists, working on Semantic Web approaches for biodiversity and related areas such as agriculture or agro-ecology. The goal is to exchange experiences, build a state of the art of realizations and challenges and reuse and adapt solutions that have been proposed in other domains. The workshop focuses on presenting challenging issues  and solutions for the design of high quality biodiversity information systems based on Semantic Web techniques.

Topics of Interest and Application Domains

We welcome topics related to the application and development of semantic  technologies to support research in the biodiversity domain and related areas. These include, but are not limited to the following areas:

  • Applications of Semantic Web technologies for biodiversity
  • Semantic data integration
  • Development and design of domain specific ontologies
  • Ontology-based applications
  • Semantic annotation of biodiversity data
  • Semantic approaches for the discovery of biodiversity data and research data services
  • Semantic support for scientific workflows
  • Data provenance and reproducibility
  • Data lifecycle management
  • Knowledge extraction and text mining
  • Ontology learning
  • Standards for biodiversity Data
  • Linked Open biodiversity Data
  • Ontology development for biodiversity
  • Semantic representation of biodiversity data
  • Interoperability of biodiversity and earth observation data

Application domains:

  • Biodiversity
  • Agronomy
  • Plant sciences
  • Agro-ecology

Веб-сторінка конференції: http://fusion.cs.uni-jena.de/s4biodiv2017/