Landesberger, Tatiana von and Bremm, Sebastian and Bernard, Jürgen and Schreck, Tobias (2010):
Smart Query Definition for Content-Based Search in Large Sets of Graphs.
pp. 7-12, Eurographics Association, Goslar, EuroVAST 2010, [Conference or Workshop Item]
Abstract
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2010 |
| Creators: | Landesberger, Tatiana von and Bremm, Sebastian and Bernard, Jürgen and Schreck, Tobias |
| Title: | Smart Query Definition for Content-Based Search in Large Sets of Graphs |
| Language: | English |
| Abstract: | 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. |
| Publisher: | Eurographics Association, Goslar |
| Uncontrolled Keywords: | Forschungsgruppe Visual Search and Analysis (VISA), Content analysis, Information retrieval, Graph theory, Graphical user interfaces (GUI), Graphics editors |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Event Title: | EuroVAST 2010 |
| Date Deposited: | 12 Nov 2018 11:16 |
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| Suche nach Titel in: | TUfind oder in Google |
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