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Smart query definition for content-based search in large sets of graphs

: Landesberger, Tatiana von; Bremm, Sebastian; Bernard, Jürgen; Schreck, Tobias

Kohlhammer, J.; Keim, D.A. ; European Association for Computer Graphics -EUROGRAPHICS-:
EuroVAST 2010, First International Symposium on Visual Analytics Science and Technology : Held on June 8, 2010 in Bordeaux, France, co-located with the annual EuroVis 2010 Conference
Goslar: Eurographics Association, 2010
ISBN: 978-3-905673-74-6
International Symposium on Visual Analytics Science and Technology (EuroVAST) <1, 2010, Bordeaux>
Symposium on Visualization (EuroVis) <12, 2010, Bordeaux>
Fraunhofer IGD ()
content analysis; information retrieval; graph theory; Graphical User Interface (GUI); graphic editor; Forschungsgruppe Visual Search and Analysis (VISA)

Graphs are used in various application areas such as chemical, social or shareholder network analysis. Finding relevant graphs in large graph databases is thereby an important problem. Such search starts with the definition of the query object. Defining the query graph quickly and effectively so that it matches meaningful data in the database is difficult. In this paper, we introduce a system, which guides the user through the process of query graph building. We propose three approaches for graph definition. First, query by example selection starting from an overview of the graph types in the database, second query by sketch combining graph building blocks (i.e., topologic subgraphs) with free graph drawing, and third a combination of both approaches. In all three query definition ways, we support the user with intelligent, data dependent recommendations. It covers the whole spectrum of building parameters such as representative examples, frequent building blocks, or common graph size.