Sixth International Workshop on Querying Graph Structured Data(GraphQ 2017)
March 21,2017
Venice, Italy
Call For Papers
The growing scale and importance of graph data in several database application areas has recently driven much research efforts towards the development of data models and technologies for graph-data management.
Life science databases, social networks, Semantic Web data, bibliographical networks, knowledge bases and ontologies, are prominent examples of application domains exhibiting data that is natural to represent in graph-based form. Datasets in these domains are often characterized by heterogeneity, complexity and largeness of contents that make the querying experience a really challenging task.
Topics of Interest
- Query models and languages for graph-structured data
- Querying RDF graphs, ontologies, or other knowledge representations
- Querying XML and semi-structured databases
- Querying graph data using big data technologies
- Big graph data management for query answering
- Indexing large graphs for searching purposes
- Flexible query answering on graph-structured data
- Personalization in graph search and feedback
- Graph query processing and performance optimization
- Benchmarking query answering in graph databases
- Keyword search on graph-structured data
- Information retrieval on graph-structured data
- Graph pattern matching
- Querying distributed and/or heterogeneous graph-structured data
- Querying uncertain graphs
- Querying life science databases
- Query visualization and interactive interfaces for graph-structured data
- Graph query processing for Social Networks
- Graph data sharing and interoperability
Important Dates
Submission deadline: November 14, 2016.
Notification Due: December 20, 2016.
Final Version Due: January 15, 2017.
User Name : Anika
Posted 19-10-2016 on 09:44:48 AEDT
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