Multi-faceted information retrieval system for large scale email archives

Author

Perkiö, Jukka ; Tuulos, Ville ; Buntine, Wray ; Tirri, Henry

Author_Institution

Helsinki Inst. for Inf. Technol., Finland

fYear

2005

fDate

19-22 Sept. 2005

Firstpage

557

Lastpage

564

Abstract

We profile a system for search and analysis of large-scale email archives. The system builds around four facets: content-based search engine, statistical topic model, automatically inferred social networks, and time-series analysis. The facets correspond to the types of information available in email data. The presented system allows chaining or combining the facets flexibly. Results of one facet may be used as input to another yielding remarkable combinatorial power. In information retrieval point of view, the system provides support for exploration, approximate textual searches and data visualization. We present some experimental results based on a large real-world email corpus.

Keywords

content-based retrieval; electronic mail; information retrieval; search engines; statistical analysis; time series; content-based search engine; data visualization; large scale email archive; multifaceted information retrieval system; social network; statistical topic model; textual search; time-series analysis; Data mining; Data visualization; Information retrieval; Information technology; Large-scale systems; Power system modeling; Search engines; Social network services; Time series analysis; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence, 2005. Proceedings. The 2005 IEEE/WIC/ACM International Conference on

Print_ISBN

0-7695-2415-X

Type

conf

DOI

10.1109/WI.2005.103

Filename

1517908