The 1st International Workshop on "Semantic Machine Learning and Linked Open Data (SML2OD2013) for Agricultural and Environmental Informatics" will be held in conjunction with the 12th International Semantic Web Conference (ISWC 2013), 21-25 October 2013, in Sydney, Australia.

Historical and spatial big data from the environmental and agricultural domains already exist in the modern technology-driven world. Government agencies, utilities and research bodies already have large amounts of data, but their value is not being fully realised because they are not integrated and consequently big knowledge is difficult to access. Semantic web, semantic machine learning and linked open data technology may help to build an "outer knowledge layer" so that this information could be accessed by domain people and the broader community. It can also be used to answer complex dynamic queries at run time from the system point of view.
Topics

The topics of interest include but are not limited to:

Performance evaluation of sensor data using linked data principles
Environmental data integration
Smart farm and its application in linked data
Environmental ontology
Semantic web in disaster management
Agricultural multilingual taxonomies and glossaries
Semantic based decision support system for plant diseases
Environmental big data and knowledge management
Applications for research that build on top of linked data in dairy, viticulture, and agriculture
Environmental analytics
Agricultural informatics
Semantic machine learning applications
Semantic based precision agriculture (ie viticulture, dairy system)
Ontology publishing as a Linked Open Data
Intelligent Agriculture Systems and Smart Firm System.

Motivation

To bring together scientists, industry and domain experts to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate the evolution of environmental linked data.
To examine big data integration and big knowledge management in the context of the environment.
To explore new research and development horizons for semantic machine learning applications

This results in scalable tailored systems solving domain related problems.