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23rd IEEE WETICE 2014 : Track Web2Touch | |||||||||||||||
Link: http://web2touch2014.tudor.lu | |||||||||||||||
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Call For Papers | |||||||||||||||
The 2014 edition of the Web2Touch Track aims at presenting alternatives to address interoperability and distributed knowledge management problem for Web systems. Web is a living medium for collaborating where people and computer systems can produce, share and consume information. However several challenges for facilitating this collaboration are still open issues, including: storage, retrieval, extraction, and visualization of huge quantity of information; interlinking, ontology classification and fusion of data. New technologies and standards have been developed to provide more efficient use of the Web, in particular for using Cloud, Linked Open Data, and Big Data. The key of the success of the Internet is the amount of published data available for everyone, but it also generates problems to end-users. Researchers are continuously working to improve Web applications and Web contents structures. The aim is to avoid overwhelming human beings with irrelevant data, and to increase the capability of systems to correctly interpret Web contents, so improving the quality of the interaction on the Web. This Track is intended as a forum to discuss theories, models, techniques and user requirements related to how a number of semantic interoperability problems can be coped with to achieve commercial, scientific, and sociological success for Web applications. Web2Touch is an open forum for studies in multiples application domains including, for example, Web science, eHealth, eGov, eLearning and collaborative systems in general.
Best papers from Web2Touch were published at IJWP 2011 Vol. 1 and Vol. 3, IJWP 2013, Concurrency and Computation 2013, and Collaborative Enterprise 2013. Topics include, but are not limited to: Case studies of social semantic web. Ontology and knowledge reuse and integration. Semantic web services. Experiences in semantic web support for collaborative work and business. Knowledge creation, management, maintenance, and validation. Collaborative ontology evolution and alignment. Web for sentiment analysis. Privacy issues in knowledge sharing. |
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