[DL] CFP: Joint International Semantic Technology Conference (JIST 2017) -- deadline extension!
Anni-Yasmin Turhan
anni-yasmin.turhan at tu-dresden.de
Fri Jul 28 12:41:04 CEST 2017
FINAL CALL FOR PAPERS
The 7th Joint International Semantic Technology Conference (JIST 2017)
http://www.ict.griffith.edu.au/aist/jist2017
November 10-12, 2017 (Fri - Sun)
Gold Coast, Australia
The mission of the Joint International Semantic Technology Conference
(JIST) is to bring together researchers in Semantic Technology research
community and other areas of semantic related technologies to present their
innovative research results or novel applications of semantic technologies.
In this announcement:
1. Important Dates (deadlines extended)
2. Recommendation to SCI Journals
3. Call for Papers (including a new special track)
4. Submission Guide
5. Organization
=============================================================
1. Important Dates
- Abstract submission: 23:59 (Hawaii Time), August 8, 2017
- Full paper submission: 23:59 (Hawaii Time), August 15, 2017
- Notification of Acceptance: September 15, 2017
- Camera-ready Deadline: September 30, 2017
- Conference: November 10-12, 2017
=============================================================
2. Recommendation to SCI Journals
A number of best papers accepted at JIST 2017 will be invited to present
at the Meet the Editor session of SCI indexed journals, including
International Journal on Semantic Web and Information Systems (IJSWIS),
for fast-track publication in a special issue in these journals. Up to
five papers will be selected and published. An indicative timeline is
given below:
- Manuscript revision proposal: mid November 2017
- Submission of revised manuscript: mid January 2018
- Notification of acceptance: mid March 2018
- Publication: second half 2018
=============================================================
3. Call for Papers
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Call for Research Track Papers
--------------------------------------------------------------
JIST 2017 research track solicits submissions of original research work
on semantic technologies. Topics of interest include, but are not
limited to:
- Ontology and reasoning
- Knowledge Graph
- Linked Data
- Big Data and semantics, exchange and integration
- Data streams and the Internet of Things
- Machine learning and information extraction on the Semantic Web
- Semantic Web services and processes
- Trust, privacy, and security on the Semantic Web
- Social Semantic Web
- Natural language processing and semantics
- Semantic multimedia
- Novel applications of semantic technologies
--------------------------------------------------------------
Call for In-Use Track Papers
--------------------------------------------------------------
Quality shared resources such as public ontologies, datasets and
software are highly valuable to the research community, hence, JIST 2017
in-use track also calls for submissions of public, shared resources of
interest to the Semantic Web community.
Topics of interest include, but are not limited to:
- Description of an implemented application
- Description of concrete problems
- Analysis and evaluation of semantic tools
- Lessons learned and best practices
- Linked Data, open data and vocabularies in production use
- Semantic resources
- Semantic technology in new application domains
--------------------------------------------------------------
Call for Special Track Papers
--------------------------------------------------------------
The philosophy behind Special Tracks is to facilitate the proactive
participation of researchers from certain fields or communities who have
linked the semantic technology with their research fields.
Special Tracks accept 8-page short papers that will be reviewed in the
same way as the Research Track papers and will be included in the
Proceedings if accepted. In JIST 2017, we have two special tracks.
Special Track on Energy-awareness & Semantic Technologies:
As semantic technologies gain momentum, their impact on resources and
society increases. Energy-consumption is one of the main challenges of
21st century. The potential contribution of semantic technologies
towards this problem is twofold.
On the one hand semantic technologies can assist in energy management as
they are often the core of context-aware, self-adaptive applications.
For instance, ontologies are used to integrate heterogeneous sources
such as sensors or reasoners are employed in grid management
applications. On the other hand, the efficiency of semantic technologies
is still mainly assessed by running times. While computational and
cognitive complexity are investigated, work on their energy-consumption
is still in its infancy. However, assessing and managing their
energy-consumption is a vital prerequisite for for their usefulness on
mobile devices, for instance.
The special track calls for contributions regarding, but not limited to:
- energy-adaptive semantic technologies
- measurement frameworks for energy consumption of semantic technologies
- application of semantic technologies for energy management
- ontologies for energy management
- semantic technologies for power or grid management
Special Track on Semantic Processing for Knowledge Graphs:
Semantic technologies such as Linked Data promote publication of various
data and knowledge on the web with semantic links among them. They form
huge sized knowledge bases called Knowledge Graphs in a large variety of
domains. An important technical feature of Knowledge Graphs is their
rich semantics. This special track focuses on semantics of Knowledge
Graphs, especially on how to use their semantics towards practical
applications.
Topics of interest include but are not limited to:
- Semantic processing and reasoning for Knowledge Graph
- Application using semantics of Knowledge Graph
- Modelling of semantics for Knowledge Graph
- Development of Knowledge Graph (Ontology, Linked Data)
--------------------------------------------------------------
Call for Poster & Demo Papers
--------------------------------------------------------------
JIST 2017 cordially invites you to submit Poster and Demo papers.
For details please check our website:
http://www.ict.griffith.edu.au/aist/jist2017
=============================================================
4. Submission
Submissions to JIST 2017 should describe original, significant research
on semantic technologies. JIST 2017 will not accept submissions that are
under review for or have already been published in or accepted for
publication in a journal or another conference. Submissions to JIST 2017
are expected to present their claimed contribution, with clear evidence
to support their claims.
All submissions will be critically reviewed by at least three members of
the program committee. To assess submissions, reviewers will judge their
relevance to semantic technologies, their originality, the technical
soundness of their proposed approach and the readability of the
submission.
JIST 2017 submissions are not anonymous.
Submissions must be in PDF format, using the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS).
Submissions must be no longer than *16* pages for the Research and
In-Use Tracks, and no longer than *8* pages for the Special Tracks.
Submissions that exceed these limits may be rejected without review.
Submissions to the In-Use Track that are less than 16 pages can be
considered.
Accepted papers will be published in an LNCS proceedings. At least one
author of each accepted paper must register for the conference and
present the paper there.
Papers can be submitted electronically via
https://easychair.org/conferences/?conf=jist2017.
Please select the corresponding tracks when you submit your paper(s).
=============================================================
5. Organization
General Chairs
- Thepchai Supnithi, National Electronics and Computer Technology
Center, Thailand
- Kewen Wang, Griffith University, Australia
Program Chairs
- Anni-Yasmin Turhan, Dresden University of Technology, Germany
- Zhe Wang, Griffith University, Australia
Organized by: JIST Steering Committee
Program Committee:
Fernando Bobillo, University of Zaragoza, Spain
Chantana Chantrapornchai, Kasetsart University, Thailand
Huajun Chen, Zhejiang University, China
Gong Cheng, Nanjing University, China
Stefan Dietze, L3S Research Center, Germany
Dejing Dou, University of Oregon, USA
Jianfeng Du, Guangdong University of Foreign Studies, China
Alessandro Faraotti, IBM, Italy
Zhiyong Feng, Tianjin University, China
Marcelo Finger, Universidade de Sao Paulo, Brazil
Naoki Fukuta, Shizuoka University, Japan
Volker Haarslev, Concordia University, Canada
Armin Haller, Australian National University, Australia
Wei Hu, Nanjing University, China
Eero Hyvönen, Aalto University, Finland
Ryutaro Ichise, National Institute of Informatics, Japan
Ernesto Jimenez-Ruiz, University of Oxford, UK
Takahiro Kawamura, Japan Science and Technology Agency, Japan
Evgeny Kharlamov, University of Oxford, UK
Martin Kollingbaum, University of Aberdeen, UK
Kouji Kozaki, Osaka University, Japan
Adila A. Krisnadhi, Wright State University & Universitas Indonesia,
Indonesia
Michael John Lawley, CSIRO Australian E-Health Research Centre,
Australia
Yuan-Fang Li, Monash University, Australia
Juanzi Li, Tsinghua University, China
Yuefeng Li, Queensland University of Technology, Australia
Wei Liu, The University of Western Australia, Australia
Yinglong Ma, North China Electric Power University, China
Yue Ma, Université Paris Sud, France
Theofilos Mailis, National Technical University of Athens, Greece
Maria Vanina Martinez, Universidad Nacional del Sur in Bahia Blanca,
Argentina
Eduardo Mena, University of Zaragoza, Spain
Riichiro Mizoguchi, Japan Advanced Institute of Science and Technology,
Japan
Trina Myers, James Cook University, Australia
Jeff Z. Pan, University of Aberdeen, UK
Guilin Qi, Southeast University, China
Edelweis Rohrer, Universidad de la República, Uruguay
Tong Ruan, ECUST, China
Jun Shen, University of Wollongong, Australia
Sa-Kwang Song, KISTI, Korea
Giorgos Stoilos, Athens University of Economics and Business, Greece
Umberto Straccia, ISTI-CNR, Italy
Jing Sun, The University of Auckland, New Zealand
Kerry Taylor, Australian Bureau of Statistics & Australian National
University, Australia
Anni-Yasmin Turhan, Dresden University of Technology, Germany
Zhe Wang, Griffith University, Australia
Xin Wang, Tianjin University, China
Haofen Wang, Shenzhen Gowild Robotics Co. Ltd, China
Shenghui Wang, OCLC Research, Netherlands
Guohui Xiao, Free University of Bozen-Bolzano, Italy
Bin Xu, Tsinghua University, China
Xiaowang Zhang, Tianjin University, China
Amal Zouaq, University of Ottawa, Canada
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