[AISWorld] CFP: The 3rd SML2OD2014 (Semantic Machine Learning and Linked Open Data for Agricultural and Environmental Informatics), Dec 2014

[Andrew Clashe]

Call for papers:


The 3rd International Workshop on Semantic Machine Learning and Linked Open
Data for Agricultural and Environmental Informatics (SML2OD2014), 3-5 Dec.
2014, Sydney, Australia.

Website: http://wp.csiro.au/sml2od2014/


Key dates:
Submission Deadline: September 5, 2014 (firm)
Notification: September 25, 2014
Final Manuscript Due: October 10, 2014

Submission site: http://wp.csiro.au/sml2od2014/submission/


Publication:
Proceedings will be published by IEEE CS Press.

Special issues:
Distinguised papers will be selected for special issues in the main
conference special issues
- Concurrency and Computation: Practice and Experience; Journal of Network
and Computer
Applications, Journal of Computer and System Sciences, and IEEE
Transactions on Cloud
Computing.


Overview
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.

The main goal of this workshop is to identify the key challenges which are
faced by the agriculture, viticulture and aquaculture communities, discuss
potential solutions and identify the opportunities emerging from
cross-domain interactions among agriculture experts, hydrologists, dairy
experts, aquaculture experts and ICT experts. Therefore, we expect to gain
from the domain experts an explanation of how they can apply semantic web
standards, machine learning techniques, and linked data standards into
their scientific research.

There will be an open call for research papers presenting various aspects
of real world applications of the linked open data concept, machine
learning and semantic web technologies applied to the agricultural domains.
Selected research papers, demos and late breaking results will be accepted
for the workshop. There will be a keynote speaker who will explain the
current trends of research in these domains. Our key areas of interest for
the purpose of knowledge management are agriculture, aquaculture,
environment and dairy production. This also extends to strategies for soil
moisture and environmental sensor data integration, dynamic big data
annotation, environmental ontology and plant disease knowledge bank.


Motivation

- To bring 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


Topics
More specifically, 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 and big data  management;
    * Agricultural multilingual taxonomies and glossaries;
    * Semantic based decision support system;
    * Environmental big data and knowledge management;
    * Applications for research that build on top of linked data;
    * Environmental analytics;
    * Agricultural informatics;
    * Semantic machine learning applications;
    * Semantic based precision agriculture.
    * Linked data analysis;


Submission Guidelines

All papers must represent original and unpublished work that is not
currently under review. Papers will be evaluated according to their
significance, originality, technical content, style, clarity, and relevance
to the workshop. At least one author of each accepted paper is expected to
attend the workshop.

We welcome the following types of contributions:

- Full research papers (up to six pages): Original research papers are
invited, presenting various aspects of real world applications of the
linked open data concept, machine learning and semantic web technologies
applied to agricultural and environmental informatics. Each accepted paper
will receive a short (15 minute) presentation slot followed by a five
minute open discussion.

- Late Breaking News papers (up to two pages): Short communication research
papers are invited on any ongoing research work, unpublished results,
theory, concept and potential future applications.

All submissions must be written in English and must be formatted according
to the IEEE 2-column style.


Submit your paper(s) in PDF file at the submission site:
http://wp.csiro.au/sml2od2014/submission/.


Workshop Chairs
Dr. Ahsan Morshed, Computational Informatics, CSIRO, Australia
Dr. Yanfeng Shu, Computational Informatics, CSIRO, Australia
Dr. Ritaban Dutta, Computational Informatics, CSIRO, Australia
Dr. Daniel Smith, Computational Informatics, CSIRO, Australia


Advisory Committee
Prof Craig Lindley, CSIRO, Australia
Johannes Keizer, FAO of United Nations, Rome, Italy
Prof Fausto Giunchiglia, University of Trento, Trento, Italy
Prof Antony G Cohn, Leeds University, UK
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