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Important Dates
July 21-24, 2014
(including all affiliated conferences)

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Last modified 2014-02-03 21:59

Topics of interest include, but are not limited to, the following:

    • Semantic Web:
        - Machine learning approaches for semantic web
        - Semantic web for e-Business and e-Learning
        - Trust networks on semantic web
        - Database technologies for semantic web
        - Semantic knowledge portals
        - Semantic web mining
        - Semantic web inference methodologies
        - Metadata generation
        - Semantic web services
        - Semantic web trust, privacy, and security
        - Tools, languages, and techniques for semantic annotation of web data
        - Semantic intellectual property rights
        - Semantic searching
        - Reasoning in the semantic web
        - Semantic brokering
        - Visualization and modeling
        - Hypermedia and semantic web
        - Software agents for semantic web
        - Community web portals
        - Semantic web and enterprises
        - Trust management for semantic web
        - Semantic interoperability
        - Ontology creation, evolution, reconciliation, and mediation
        - Semantic web mining
        - Semantic web-based knowledge management
        - Ontology languages for semantic web
        - Autonomous semantic web services
        - Service discovery, description, composition and invocation
        - Data semantics
        - Semantic verification of web sites
        - Intersection of Big Data and semantic web
        - Case studies
    • Web Services:
        - Web Service Technologies and Research Directions:
          Enhancements to the basic web services platform such as SOAP, WSDL, UDDI, ...; advanced web service technologies including security, workflow and process management, transactions, mobile and wireless, portals, services management, quality-of-service (QoS); novel web service architectures; development and modeling frameworks for web service applications; composite web services, enabling technologies and support infrastructure; data structures and models.

        - Practices for Developing Enterprise-class Web Services and Applications:
          Design patterns; architecting for customization, maintenance, and management; architecting for easy integration or service "consumption"; fault-tolerant architectures; service mediation systems and architectures.

        - Case Studies of Web Service Development and Deployment:
          e-Commerce applications using web services; Business-to-Business (B2B) applications using web services; mobile and wireless applications using web services; utility and on-demand computing using web services; government applications using web services; applications of web services in developing countries.

        - Multimedia applications using web services
        - Communication applications using web services
        - Interactive TV applications using web services
        - Big Data:
          Scalable web services for Big Data; services for data integration; web services for mapping data to information and to knowledge. - Novel applications, case studies, and emerging technologies
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