Authors
Gjergji Kasneci, Maya Ramanath, Mauro Sozio, Fabian M Suchanek, Gerhard Weikum
Publication date
2009/3/29
Conference
Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on
Pages
868-879
Publisher
IEEE
Description
Large graphs and networks are abundant in modern information systems: entity-relationship graphs over relational data or Web-extracted entities, biological networks, social online communities, knowledge bases, and many more. Often such data comes with expressive node and edge labels that allow an interpretation as a semantic graph, and edge weights that reflect the strengths of semantic relations between entities. Finding close relationships between a given set of two, three, or more entities is an important building block for many search, ranking, and analysis tasks. From an algorithmic point of view, this translates into computing the best Steiner trees between the given nodes, a classical NP-hard problem. In this paper, we present a new approximation algorithm, coined STAR, for relationship queries over large relationship graphs. We prove that for n query entities, STAR yields an O(log(n))-approximation of …
Total citations
Scholar articles
G Kasneci, M Ramanath, M Sozio, FM Suchanek… - 2009 IEEE 25th International Conference on Data …, 2009
GKMRM Sozio, FMSGW STAR - 2009