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KESW 2014 - 5th International Conference on Knowledge Engineering and Semantic Web

Date2014-09-29 - 2014-10-01

Deadline2014-05-09

VenueKazan, Russia Russia

Keywords

Websitehttp://2014.kesw.ru/calls

Topics/Call fo Papers

International Conference on Knowledge Engineering and Semantic Web (KESW) is a top international event taking place in Russia and dedicated to discussing research results and directions in the areas related to Knowledge Representation and Reasoning, Semantic Web, and Linked Data. Its aim is to bring together researchers, practitioners, and educators, in particular from ex-USSR, Eastern and Northern Europe, to present and share ideas regarding Semantic Web, and popularize the area in these regions.
As last year, all technical sessions (keynotes, paper presentations, posters, etc.) will be held in English.
RESEARCH TRACK
For the research track we welcome novel papers addressing theoretical, analytical or empirical aspects of research related to KR and Semantic Web. Topics of interest include but are not limited to:
Ontology management
Logical and philosophical foundations
Merging and alignment, modularity
Collaborative engineering and exchange
Using ontologies for modeling scientific knowledge
Knowledge Representation and Reasoning:
Knowledge aquisition and management
Theory of automated reasoning
Practical algorithms and optimizations
Applications
Linked Data
Publishing and integration
Querying
Scalability aspects
Open Data
Natural Language Processing for Semantic Web
Information extraction and content analysis
Document clustering and classification
Opinion mining and sentiment analysis
Semantic-based information retrieval
Controlled natural languages
Semantic Databases
RDF and other NoSQL databases for managing Linked Data
Ontologies and databases
Query answering
Other Topics (not limited to)
Cognitive aspects of semantic technologies
Human Computer Interaction
Semantic Social Web
Trust, Security, and Privacy
Knowledge Visualization
Semantic Web in Education
INDUSTRY TRACK
For the industry track we solicit papers that describe practical experience of using Semantic Web or KR-related technologies in practical projects. Descriptions of industrial deployments and production usage are especially invited but papers with preliminary experience are also welcome (as long as the authors are able to demonstrate, preferably with some quantitative data, practical utility of Semantic Web technologies in a particular domain). Topics of interest include but are not limited to:
Applications of Semantic Web technologies in various industrial domains.
Applications of Semantic Web technologies in community, government and semantic smart city.
Industrial trends related to the usage of Linked Data and Semantic Web technologies
Description and analysis of concrete problems and user requirements for applying Semantic Web technologies in specific industry domains
Analysis and evaluation of usability, assessment of pros and cons of using Semantic Web technologies in real-world scenarios including models of investment justifications (ROI)
System Descriptions
We invite submissions which describe architecture, design, implementation, or experiments with existing systems which use semantic technologies. Preliminary reports describing research prototypes are welcome, too. The papers should explain how the use of semantic technologies helps to solve specific problems and/or is beneficial for the users. The authors will be given an opportunity to demonstrate their system during the poster and demo session at the conference.
Posters
The poster track is an opportunity to present research through an informal discussion or presentation. We invite submissions relevant to the above topics. Posters may complement submissions to the research and industrial tracks. Furthermore, we explicitly encourage you to submit a poster if your research or industry paper has been accepted. Depending on the density of the final program, the poster authors may be given short slots for flash talks to announce their posters.

Last modified: 2014-03-10 23:06:57