GraphQ 2013 - International Workshop on Querying Graph Structured Data (GraphQ 2013)

Graph-based data models have recently gained much popularity as powerful means for data representation in several database application areas. Notable examples are biological and chemical databases, computer vision and pattern recognition, Web-scattered data, healthcare, personal information management (PIM) and enterprise information management (EIM) systems, social networks, just to mention a few. The largeness and complexity of datasets in these domains make their querying a really challenging task.
The overall goal of the workshop is to bring people from different fields together, exchange research ideas and results, and encourage discussion about how to efficiently and effectively support graph queries in different application domains and to understand the research challenges of such an area. We solicit researchers and practitioners working in information retrieval, relational databases, Semantic Web, streaming data management, pattern matching, biological databases, social networks, human-computer interaction, and related areas to submit their original papers to this workshop. We thus welcome innovative proposals for graph-structured data, with a particular focus on the querying issues.
TOPICS OF INTEREST
The main topics covered by the workshop include, but are certainly not limited to:
Query models and languages for graph-structured data
Managing large graphs for searching purposes
Indices for graph query processing
Graph pattern matching
Querying RDF graphs, ontologies, or other knowledge representations
Flexible query answering on graph-structured data
Personalization in graph search and feedback
Graph query processing and performance optimization
Keyword search on graph-structured data
Information retrieval on graph-structured data
Querying distributed and/or heterogeneous graph-structured data
Querying graph-structured data streams
Query visualization and interactive interfaces for graph-structured data
Querying biological databases
Graph query processing in Social Networks