posted by user: rr2000 || 1485 views || tracked by 5 users: [display]

SML 2016 : 3rd International Workshop on Semantic Machine Learning

FacebookTwitterLinkedInGoogle

Link: http://datam.i2r.a-star.edu.sg/sml16/
 
When Jul 9, 2016 - Jul 15, 2016
Where New York, USA
Submission Deadline Apr 18, 2016
Notification Due May 20, 2016
Final Version Due Jul 6, 2016
Categories    machine learning   semantic computing   semantic web
 

Call For Papers

CALL FOR PAPERS

3rd International Workshop on Semantic Machine Learning (SML 2016)

July 9-15, 2016
New York, USA
http://datam.i2r.a-star.edu.sg/sml16/

Co-located with IJCAI 2016

=====) Submissions due: Apr 18, 2016

Aim and Scope
------------------

Learning is an important attribute of an AI system that enables it to adapt to new

circumstances and to detect and extrapolate patterns. Machine Learning (ML) has seen

a tremendous growth during the last few years due in part to the successful

commercial deployments in products developed by major companies such as Google,

Apple and Facebook. The interest has also being fuelled by the recent research

breakthroughs brought about by deep learning. ML is however not a silver bullet as

it is made out to be, and currently has several limitations in complex real-life

situations. Some of these limitations include: i) many ML algorithms require large

number of training data that are often too expensive to obtain in real-life, ii)

significant effort is often required to do feature engineering to achieve high

performance, iii) many ML methods are limited in their ability to exploit background

knowledge, and iv) lack of a seamless way to integrate and use heterogeneous data.

Approaches that formalize data, functional and domain semantics, can tremendously

aid addressing some of these limitations. The so-called semantic approaches have

been increasingly investigated by various research communities and applied at

different layers of ML, e.g. modeling representational semantics in vector space

using deep learning architectures, and modeling domain semantics in ontology-based

ML. This is complemented by the significant body of technologies and standards put

together by the Semantic Web community that not only can facilitate greater industry

adoption but can also enable incorporation of reasoning and inference in ML.

This workshop will bring together researchers and practitioners from all these

communities working on different aspects of semantic ML, to share their experiences,

exchange new ideas as well as to identify key emerging topics and define future

directions.

Topics
--------
Research papers are invited on all aspects of Semantic Machine Learning, including

but not limited to the following:

Semantic Modelling for Machine Learning
Semantics and Deep Learning
Ontology-based Machine Learning
Using Linked Open Data and other Semantic Graphs for Machine Learning
Design, Development & Reuse of Semantic Resources for ML
Semantic Reasoning and Inference in Machine Learning
Semantic Feature Engineering
Representational Semantics in ML
Semantics and Transfer Learning
Scalability in Semantic ML
Theory and Analysis of Semantic ML
Demos and Case Studies
Applications to Web, Social Media, Mobile, NLP, Vision, Healthcare, etc.

Work-in-progress, industry applications/experiences and position papers are also

welcome. Please submit your paper using the SML 2016 EasyChair site:

https://www.easychair.org/conferences/?conf=sml2016

Author Instructions
------------------------

Manuscripts should be prepared according to the IJCAI Author Guidelines (Go Here for

Formatting Guidelines, LaText Styles and Word Template). Submissions must be in

English and provided as a PDF file. The length of manuscripts can be upto 6 pages.

Work-in-process, Demo or Position papers may be shorter in length (2-4 pages) but,

if accepted, are required to be expanded to 6 pages based on reviews.

For more details: http://datam.i2r.a-star.edu.sg/sml16/

Each manuscript will be judged on its originality, significance, technical quality,

relevance, and presentation. Authors are required to certify that their paper

represents original work and is previously unpublished.

Submitting a paper to SML 2016 workshop means that if the paper is accepted, at

least one author will register and attend the conference to present the paper.

Prospective authors are strongly encouraged to get in touch with the chairs and

express their interest and seek clarifications on their queries early.

Important Dates
-------------------

Paper Submission: Apr 18, 2016
Author Notification: May 20, 2016
Camera ready: June 7, 2016
Workshop Date: July 2016

(All deadlines are 11:59PM Hawaii time.)


Workshop Organisation
----------------------------

Chairs

Rajaraman Kanagasabai, Institute for Infocomm Research (I2R), Singapore
Ahsan Morshed, RMIT University, Melbourne, Australia

Advisory Committee

Prof Amit Sheth, Wright State University, USA
Prof. Jane Hunter, University of Queensland, Australia
Prof. Fausto Giunchiglia, University of Trento, Trento, Italy
Prof. Athman Bouguettaya, RMIT University, Australia

Programme Committee (Under Construction)

Armando Stellato, University of Roma Tor Vergata, Italy
Md.Sumon Shahriar, CSIRO, Australia
Heiko Mueller, New York University, USA
Flora Salim, RMIT University, Australia
Robert Trypuz, John Paul II Catholic University of Lublin, Poland
Kim Jung Jae, Institute for Infocomm Research, Singapore
Prem Jayaraman, RMIT University, Australia
Dr. Sherif Sakr, University of New South Wales (UNSW), Australia

----



Related Resources

ICML 2017   34th International Conference on Machine Learning
IJCAI 2017   International Joint Conference on Artificial Intelligence
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
KDD 2017   Knowledge Discovery and Data Mining
ICONIP 2017   International Conference on Neural Information Processing
ICANN 2017   International Conference on Artificial Neural Networks 2017
ICRV 2017   IEEE--2017 3rd International Conference on Robotics and Vision (ICRV 2017)--Ei Compendex and Scopus
NLDB 2017   22nd International Conference on Natural Language & Information Systems
KDD 2017   Call for Research Papers