Call For ContributionsThe International Workshop on Data Engineering Meets the Semantic Web (DESWeb) aims at bringing together researchers from two research communities: Semantic Web and databases. The organizers' guiding hypothesis is that semantic issues of Web data bring a fresh view to the solid and established world of classical databases and vice versa, further that the foundations and techniques of this latter field can help addressing the challenges posed by semantic data at web scale.
Although in recent years these two communities have been getting closer, there is still great potential for mutual learning and cross-fertilization. Thus, this 5th version of the DESWeb workshop particularly welcomes research and vision papers that bring together ideas and techniques from these two fields and show the potential and mutual benefits of such an approach.
The main idea of this edition of DESWeb is to resume the spirit of workshops, that is, to be a place for lively discussion of ideas and future work. This is why there are two types of contributions: A standard transdisciplinary research track in the area of databases and Semantic Web, and a new track for discussions of visions, open problems, and challenges in the area.
As in previous years, DESWeb is co-located with the the annual IEEE International Conference on Data Engineering (ICDE2014). For issues related to the workshop, you can contact the workshop chairs using the e-mail address email@example.com.
Call for regular paper submissionsThe DESWeb workshop solicits papers (of up to 6 pages in the IEEE format) on research results and ongoing projects in this thematic area. Topics of interest include but are not limited to:
- Structured data on the Web
- Ontologies and data integration
- Scalable triple stores and query processing
- Semantic search
- Linked data and entity resolution
- Knowledge graphs
- Reasoning over Web data and services
- Semantic authoring and crowdsourcing
- Provenance and trust in Web data
- Distributed query processing and optimization
- Data quality and uncertainty
- Data freshness and updates
- Data mining and knowledge discovery
Call for late-breaking results, visions, or challengesWe also encourage the submission of short papers (of up to 3 pages in the IEEE format) with late-breaking results, visions, or challenges. The main objective of such papers is to start a discussion on difficult and open problems or outline visions of future systems and approaches.
Information regarding submission can be found here