GraphSM 2017 - Third International Workshop on Large-scale Graph Storage and Management

There exists a growing interest to gather, store and query data from various aspects of human knowledge including geographical data; data about various aspects of human activities like music, literature, and sport; scientific data from biology, chemistry, astronomy and other scientific fields; as well as data presenting the activities of governments and other important institutions.
There is consensus that data should be presented in some form of graph data model where simple and natural abstractions are used to represent data as subjects and their properties described by objects, that is, by means of nodes and edges of a graph.
A number of practical projects that allow for gathering and storing graph data have been started. One of the most famous examples is Linked Open Data (LOD) project that gathered more than 32 giga triples from the areas such as media, geography, government, life sciences and others. The language employed for the representation of data is Resource Description Framework (RDF) which is a form of graph data model.
Storing and managing huge amounts of structured data represents a problem that could be compared to the problem of querying huge amounts of text that appeared after the advent of Internet. The differences are in the degree of structure and semantics that data formats such as RDF and OWL encompass comparing them to HTML.
We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.
Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.
Tutorials on specific related topics and panels on challenging areas are encouraged.
The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
All topics are open to both research and industry contributions.
THEORY
Search in graph databases
Algebra and logic of graphs
Expressive power of graph query languages
Formalizations of graph databases
DATA MODELLING
Graph data modelling
Advanced graph data models
Data modelling for specific graph applications
STORAGE MANAGERS
Indexing methods for graph processing
Storage systems for large-scale graph databases
Automatic distribution and replication of graph databases
Storage managers for specific graph applications
QUERY PROCESSING
Flexible query answering on graph-structured data
SPARQL query processing
Intelligent distribution of SPARQL query processing
Using map-reduce operations for graph processing
ANALYSIS AND MANAGEMENT
Graph pattern matching
Knowledge discovery from graphs
Algorithms for graph database processing
Analysis of graph databases from specific domains
Information retrieval on graph-structured data
APPLICATIONS
Biological and medical graph databases
Graph processing for Social Networks
Visualizing, browsing and navigating graph data
User-interfaces for graph databases