Welcome to SML17 edition! The SML16 workshop was successfully held at IJCAI-16 in New york. Thanks all for making it a success!

You can check out the proceedings, presentations, and videos at SML16 website.

* Keynote Speaker announced, Jun 20 2017.

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.

KeyNote 1
Title: How can Machine Learning / AI help Banks and Customers
Speaker: Dr. Amy Shi-Nash, Commonwealth Bank, Australia
Amy is an executive leader with a proven track record of creating value and competitive advantage through data-driven culture and innovation. As the Head of Data Science at Commonwealth Bank, she is responsible for driving strategic data science capability, enable business transformation and differentiated customer experience. Prior to CBA, Amy was the founding member and Chief Data Science Officer of DataSpark, Singtel’s data analytics spin-off. Responsible for driving data-led innovation and creating new revenue steams by combining telco data with advanced analytics and big data technology. Amy is a Science Board Member of i-Com and since 2013 is Industry Track Program Committee Member of ACM KDD. She is a frequent public speaker, a co-inventor and co-author of multiple Patents and Publications. Amy holds a Ph.D in data mining, a Master in AI and an MBA.

Call for Papers

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-2017 EasyChair (https://easychair.org/conferences/?conf=sml17) site. See below for author instructions.

Author Instructions

Manuscripts should be prepared according to the IJCAI Author Guidelines (Go Here for Formatting Guideline, LaText Styles and Word Template: http://ijcai-17.org/FormattingGuidelinesIJCAI-17.zip). 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.

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-2017 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: May 26 (Extended)
Author Notification: Jun 30
Camera ready: Jul 15
Workshop Date: Aug 19 (Subject to change)

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

Workshop Organisation


  • Rajaraman Kanagasabai, Institute for Infocomm Research (I2R), Singapore
  • Ahsan Morshed, Swinburne University of Technology, Australia
  • Hemant Purohit, George Mason University, USA

Advisory Committee

Programme Committee

  • Kim Jung Jae, Institute for Infocomm Research, Singapore
  • Prem Jayaraman, Swinburne University of Technology, Australia
  • Kewen Lio, Swinburne University of Technology, Australia
  • Heiko Mueller, New York University, USA
  • Oshani Seneviratne, Oracle, USA
  • Md. Sumon Shahriar, Department of Health, Australia
  • Saeedeh Shekarpour, Kno.e.sis, Wright State University, USA
  • Sanjaya Wijeratne, Kno.e.sis, Wright State University, USA


Important Dates

Paper Submission: May 26 (Extended)
Author Notification: Jun 30
Camera ready: Jul 15
Workshop Date: Aug 19 (subject to change)