CALL FOR PAPERS
3rd International Workshop on Semantic Machine Learning (SML 2016)
July 9-15, 2016
New York, USA
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.
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
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.
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.)
Rajaraman Kanagasabai, Institute for Infocomm Research (I2R), Singapore
Ahsan Morshed, RMIT University, Melbourne, Australia
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
Institute for Infocomm Research disclaimer: "This email is confidential and may be privileged. If you are not the intended recipient, please delete it and notify us immediately. Please do not copy or use it for any purpose, or disclose its contents to any other person. Thank you."
|Free forum by Nabble||Edit this page|