CFP: 3rd International Workshop on Semantic Machine Learning (SML 2016) @IJCAI 2016 - due Apr 18
"Kanagasabai Rajaraman (I2R)" <[email protected]> Thu, 17 Mar 2016 09:28:08 +0000
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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
=3D=3D=3D=3D=3D> 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 Learn=
ing (ML) has seen a tremendous growth during the last few years due in part=
to the successful commercial deployments in products developed by major co=
mpanies such as Google, Apple and Facebook. The interest has also being fue=
lled by the recent research breakthroughs brought about by deep learning. M=
L 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 limitat=
ions include: i) many ML algorithms require large number of training data t=
hat are often too expensive to obtain in real-life, ii) significant effort =
is often required to do feature engineering to achieve high performance, ii=
i) many ML methods are limited in their ability to exploit background knowl=
edge, and iv) lack of a seamless way to integrate and use heterogeneous dat=
a.
Approaches that formalize data, functional and domain semantics, can tremen=
dously aid addressing some of these limitations. The so-called semantic app=
roaches have been increasingly investigated by various research communities=
and applied at different layers of ML, e.g. modeling representational sema=
ntics in vector space using deep learning architectures, and modeling domai=
n semantics in ontology-based ML. This is complemented by the significant b=
ody of technologies and standards put together by the Semantic Web communit=
y that not only can facilitate greater industry adoption but can also enabl=
e incorporation of reasoning and inference in ML.
This workshop will bring together researchers and practitioners from all th=
ese 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, in=
cluding 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=3Dsml2016
Author Instructions
------------------------
Manuscripts should be prepared according to the IJCAI Author Guidelines (Go=
Here for Formatting Guidelines, LaText Styles and Word Template). Submissi=
ons must be in English and provided as a PDF file. The length of manuscript=
s can be upto 6 pages. Work-in-process, Demo or Position papers may be shor=
ter 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 th=
e 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
----
Institute for Infocomm Research disclaimer: "This email is confidential an=
d may be privileged. If you are not the intended recipient, please delete i=
t and notify us immediately. Please do not copy or use it for any purpose, =
or disclose its contents to any other person. Thank you."
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<div style=3D"direction: ltr;font-family: Tahoma;color: #000000;font-size: =
10pt;">CALL FOR PAPERS<br>
<br>
3rd International Workshop on Semantic Machine Learning (SML 2016)<br>
<br>
July 9-15, 2016<br>
New York, USA<br>
http://datam.i2r.a-star.edu.sg/sml16/<br>
<br>
Co-located with IJCAI 2016<br>
<br>
=3D=3D=3D=3D=3D> Submissions due: Apr 18, 2016<br>
<br>
Aim and Scope<br>
------------------<br>
<br>
Learning is an important attribute of an AI system that enables it to adapt=
to new circumstances and to detect and extrapolate patterns. Machine Learn=
ing (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 Faceboo=
k. 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 limitat=
ions include: i) many ML algorithms require large number of training data t=
hat 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 seamles=
s way to integrate and use heterogeneous data.<br>
<br>
Approaches that formalize data, functional and domain semantics, can tremen=
dously aid addressing some of these limitations. The so-called semantic app=
roaches 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 standard=
s put together by the Semantic Web
community that not only can facilitate greater industry adoption but can a=
lso enable incorporation of reasoning and inference in ML.<br>
<br>
This workshop will bring together researchers and practitioners from all th=
ese 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.
<br>
<br>
Topics<br>
--------<br>
Research papers are invited on all aspects of Semantic Machine Learning, in=
cluding but not limited to the following:<br>
<br>
Semantic Modelling for Machine Learning<br>
Semantics and Deep Learning<br>
Ontology-based Machine Learning<br>
Using Linked Open Data and other Semantic Graphs for Mac=
hine Learning<br>
Design, Development & Reuse of Semantic Resources fo=
r ML<br>
Semantic Reasoning and Inference in Machine Learning<br>
Semantic Feature Engineering<br>
Representational Semantics in ML<br>
Semantics and Transfer Learning<br>
Scalability in Semantic ML<br>
Theory and Analysis of Semantic ML<br>
Demos and Case Studies<br>
Applications to Web, Social Media, Mobile, NLP, Vision, =
Healthcare, etc. <br>
<br>
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=3Dsml2016<br>
<br>
Author Instructions<br>
------------------------<br>
<br>
Manuscripts should be prepared according to the IJCAI Author Guidelines (Go=
Here for Formatting Guidelines, LaText Styles and Word Template). Submissi=
ons must be in English and provided as a PDF file. The length of manuscript=
s can be upto 6 pages. Work-in-process,
Demo or Position papers may be shorter in length (2-4 pages) but, if accep=
ted, are required to be expanded to 6 pages based on reviews.<br>
<br>
For more details: http://datam.i2r.a-star.edu.sg/sml16/<br>
<br>
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.<br>
<br>
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 th=
e paper.<br>
<br>
Prospective authors are strongly encouraged to get in touch with the chairs=
and express their interest and seek clarifications on their queries early.
<br>
<br>
Important Dates<br>
-------------------<br>
<br>
Paper Submission: Apr 18, 2016<br>
Author Notification: May 20, 2016<br>
Camera ready: June 7, 2016<br>
Workshop Date: July 2016<br>
<br>
(All deadlines are 11:59PM Hawaii time.) <br>
<br>
<br>
Workshop Organisation<br>
----------------------------<br>
<br>
Chairs<br>
<br>
Rajaraman Kanagasabai, Institute for Infocomm Research (=
I2R), Singapore<br>
Ahsan Morshed, RMIT University, Melbourne, Australia <br>
<br>
Advisory Committee<br>
<br>
Prof Amit Sheth, Wright State University, USA<br>
Prof. Jane Hunter, University of Queensland, Australia<b=
r>
Prof. Fausto Giunchiglia, University of Trento, Trento, =
Italy<br>
Prof. Athman Bouguettaya, RMIT University, Australia <br>
<br>
Programme Committee (Under Construction)<br>
<br>
Armando Stellato, University of Roma Tor Vergata, Italy<=
br>
Md.Sumon Shahriar, CSIRO, Australia<br>
Heiko Mueller, New York University, USA<br>
Flora Salim, RMIT University, Australia<br>
Robert Trypuz, John Paul II Catholic University of Lubli=
n, Poland<br>
Kim Jung Jae, Institute for Infocomm Research, Singapore=
<br>
Prem Jayaraman, RMIT University, Australia<br>
Dr. Sherif Sakr, University of New South Wales (UNSW), A=
ustralia <br>
<br>
----<br>
<br>
<br>
<br>
<br>
</div>
<DIV>
Institute for Infocomm Research disclaimer: "This email is confidenti=
al and may be privileged. If you are not the intended recipient, please del=
ete it and notify us immediately. Please do not copy or use it for any purp=
ose, or disclose its contents to any other person. Thank you."<BR>
</DIV></body>
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--_000_DFD6A63DFC8EBD4B9A275C068BBD1B9972436E30S3EXCHMB08share_--