SWWS 2014 - The 2014 International Conference on Semantic Web and Web Services (SWWS'14)

You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (ISBN) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data for each paper. In addition, like prior years, extended versions of selected papers (about 35%) will appear in journals and edited research books (publishers include: Springer, Elsevier, BMC, and others). See the following links for a small subset of the publications based on the Congress: (some of these books and special issues have already received the top 25% downloads in their respective fields - we also have a number of Elsevier and Springer books in the pipeline based on the last offering of the congress):
http://store.elsevier.com/Emerging-Trends-in-ICT-S...
http://www.biomedcentral.com/bmcmedgenomics/supple...
http://www.springer.com/life+sciences/bioinformati...
http://www.springer.com/life+sciences/bioinformati...
http://www.biomedcentral.com/1471-2164/9/S1/I1
http://www.springer.com/series/11769
http://www.biomedcentral.com/1752-0509/5?issue=S3
http://pubmedcentralcanada.ca/pmcc/articles/PMC328...
http://pubmedcentralcanada.ca/pmcc/articles/PMC270...
http://pubmedcentralcanada.ca/pmcc/articles/PMC299...
SWWS'14 is composed of a number of tracks, including: tutorials, sessions, workshops, posters, and panel discussions. The conference will be held July 21-24, 2014, Las Vegas, USA.
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