Semantic Data Management Research Track@ESWC2011

8th Extended Semantic Web Conference
Research Track: Semantic Data Management
May 29 - June 2, 2010 - Heraklion, Crete, Greece

During last years we have witnessed a tremendous increase in the amount of semantic data that is available on the Web in almost every field of human activity. Billions of RDF triples from Wikipedia, U.S. Census, CIA World Factbook, open government sites in the US and the UK, news and entertainment sources, as well as various ontologies (especially in eScience) have been created and published online. For the successful discovery, sharing, distribution and organization of this emerging information universe, the ability to understand and manage the semantics of the data is of paramount importance. Semantic data management refers to a range of techniques that can be employed for storing, querying, manipulating and integrating data based on its meaning. It essentially enables sustainable solutions for a range of IT environments, where the usage of today's mainstream semantic technology is either inefficient or entirely unfeasible, namely, enterprise data integration, life science research, and collaborative data sharing in SaaS architectures. In a nutshell, semantic data management aims to support a more comprehensive usage of larger scale and more complex semantic datasets at lower cost. To achieve this vision, interdisciplinary synergies are required among researchers in the Semantic Web, data management systems as well as information retrieval communities. To this end, this track will be organized along the following key themes

• Semantic repositories and databases
  • Storage schemas optimized for RDF data
  • Reasoning supported by data management infrastructures
  • Indexing structures for schema-less or schema-relaxed semantic data, storage
  • Density and performance improvements
  • Efficient query processing
  • Embedded semantic data processing (stored procedures and storage engine extension APIs)
• Semantic access to legacy data
  • Efficient publishing from and to other data formats (e.g. XML, relational data) from RDF and ontologies
  • Semantic query optimization techniques;
• Virtualized semantic stores and scalability
  • Identification and composition of (fragments of) data sets by abstracting the applications from the specific set-up of the data management service (e.g., local vs. remote and distribution)
  • Semantic data partitioning
  • Replication
  • Federation on the cloud
• Exploratory semantic searching and browsing
  • Dataspaces for the Semantic Web
  • Semantic data analytics
  • Data dynamics
  • Emergent data semantics
  • Data- and query- specific strategies for dynamic data materialization
  • Adaptive, multi-query optimization
  • Multi-modal retrieval (quantitative and statistical) and ranking algorithms (FTS, co-occurrence, concordance, temporal, spatial);
• Security and privacy
  • Access control specification languages and enforcement strategies
  • Consistency checking of access control policies
  • Incremental maintenance of security annotations
  • Privacy aware access control models
• Traceability and trustworthiness
  • Probabilistic RDF data and query answering
  • Provenance models for SPARQL queries and RDFS/OWL programs
  • Provenance models of dataflows and mash-ups
  • Automated reasoning over abstract provenance information
  • Efficient storage and querying of provenance data
• Benchmarking:
  • Foundations, methods and tools for semantic systems benchmarking
  • Performance evaluation of existing semantic query, update and reasoning services
  • Analysis of synthetic and real large-scale semantic data repositories.

Track Chairs

Vassilis Christophides, FORTH ICS, University of Crete, Greece

Axel Polleres, DERI, National University of Ireland, Galway, Ireland

Important Dates

• Abstract submission: December 6, 2010 (compulsory)
• Full-paper submission: December 13, 2010 (11:59 pm Hawaii time)
• Notification of acceptance/rejection: February 21, 2011
• Camera-ready papers: March 7, 2011

Submission Details

The proceedings of the conference will be published in Springer's Lecture Notes in Computer Science series. Paper submission and reviewing will be electronic, where each track will operate on its own conference management system instance. For all tracks, papers must not exceed fifteen (15) pages in length and must be formatted according to the information for LNCS authors. Papers must be submitted as PDF (Adobe's Portable Document Format) and will not be accepted in any other format. Papers that exceed 15 pages or do not follow the LNCS guidelines risk being rejected automatically without a review. Authors of accepted papers might be required to provide semantic annotations for the abstract of their submission - details of this process will be provided on the conference Web page at the time of acceptance. At least one author of each accepted paper must register for the conference in order for the paper to be included in the conference proceedings. Each paper must be submitted to the most appropriate of the twelve research tracks. The program committee might decide to forward a paper to another track if it better fits the topics there.