[DL] Call for papers: JIST 2014
Anni-Yasmin Turhan
turhan at tcs.inf.tu-dresden.de
Mon Jun 23 14:24:16 CEST 2014
[Please post - apologies for multiple copies.]
The 4th International Joint Semantic Technology Conference
9-11 November 2014
Chiang Mai, Thailand
http://language-semantic.org/jist2014/
Important Dates
-------------------
Papers
- Submission Deadline: August 1, 2014, 23:59 (Hawaii Time)
- Notification of Acceptance: September 5, 2014
- Camera-ready Deadline: September 12, 2014
Posters
- Submissions: September 10, 2014
- Notification: September 19, 2014
- Camera-ready: September 26, 2014
Aim & Scope
--------------
The Joint International Semantic Technology Conference (JIST) is a
regional federation of Semantic Technology related conferences. The
mission of 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.
JIST 2014, under the theme “Open Data and Semantic Technology”, solicits
the submission of original research papers on Semantic Web and other
semantic technologies, as well as papers on applications of semantic
technologies.
Topics of interest include, but are not limited to:
Ontology and Reasoning
- Ontology modeling, reuse, extraction, and evolution
- Ontology mapping, merging, and alignment
- Ontology evaluation
- Searching and ranking ontologies
- Reasoning over Semantic Web data
- New formalisms (such as probabilistic approaches)
- Lightweight semantics (linked data, microformats, etc.)
Management of Semantic Web Data
- Languages, tools, and methodologies for Semantic Web data
- Database, IR, and AI technologies for Semantic Web data
- Robust and scalable knowledge management and reasoning on the Web
- Machine learning and information extraction on the Web
- Cleaning, assurance, and provenance of Semantic Web data, services,
and processes
Linked Data
- Publication of Linked Data
- Consumption of Linked Data
- Reasoning with Linked Data
- Search, query, integration, and analysis on Linked Data
- Integration and mash-up of Linked Data
- Mining of Linked Data
- Domain specific applications (eGovernment, disaster, life science etc.)
Big Data and Semantics
- Ontology Engineering for big data
- Ontology based data integration
- Big data verification using semantics
- Mapping big data and ontology
Social Semantic Web
- Semantics for social media data
- Social network analysis with Semantic Web Technologies
- Querying, mining and analysis of social semantic data
- Social Semantic Web applications
- Semantic Web technologies for collaboration and cooperation
- Representing and reasoning about trust, privacy, and security
Semantic Social Media
- Building ontologies for social networks
- Emergent semantics of social networks
- Semantics for sentiment/opinion analysis
- Sentiment analysis techniques on social media
- Applications of sentiment analysis
Semantics and NLP
- Semantic Text Analysis
- Pragmatic and Discourse Analysis
- Syntactic and Semantic Mapping
- Automatic Annotation
Semantic Multimedia
- Semantic multimedia metadata, ontology and management
- Multimedia content analysis and processing
- Multimedia-enriched Semantic Web
- Semantic multimedia applications
- Semantic annotations and recommendations
Applications of the Semantic Web
- Semantic Web for large scale applications
- Semantic Web for desktops or personal information management
- Semantic Web for multimedia, sensors, and situational awareness
- Semantic Web for P2P, services, agents, grids, and middleware
- Semantic Web for software and systems engineering
- Mobile Semantic Web
- Interface for Semantic Web
Topics for In-Use Track
Topics of Interest, but are not limited to
- Analysis and evaluation of semantic tools
- Semantic Web ontologies/ datasets used in practice
- Mobile applications based on semantic technology
- Semantic technology in new application domains:
eGovernment, eHealth, Smart City,
Biomedical and Life Sciences,
Sensor Networks, Telecommunications
Cultural Heritage, Financial Services
Energy and Utilities, Manufacturing
Digital Libraries, Learning and Education
Personal Information Management
Service Science, etc.
Paper Submission
--------------------
Submissions to JIST 2014 should describe original, significant research
on semantic technologies. Submissions to JIST 2014 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.
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 REGULAR TECHNICAL
SESSIONS and *6* pages for IN-USE TRACK. Accepted papers will be
distributed to conference attendees and published in LNCS as a
post-proceeding (wait for confirmation).
Submissions that exceed this limit may be rejected without review. JIST
2014 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.
All submissions must be submitted via EasyChair at
http://www.easychair.org/conferences/?conf=jist2014 .
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