Reliable distributed search engine based on multiple meta servers

Sato, Nobuya; Udagawa, M.; Uehara, Masato; Sakai, Yoshifumi; Mori, Hideki

doi:10.1109/cw.2002.1180863

First International Symposium on Cyber Worlds, 2002. Proceedings.

DOI: 10.1109/cw.2002.1180863

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Reliable distributed search engine based on multiple meta servers

Nobuya Sato

M. Udagawa

Masato Uehara

et al.

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Cited by 3 publications

References 9 publications

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Intranet information retrieval is very important to discover the useful knowledge. In this process, search engine is useful. However, conventional search engines, which are based on centralized architecture, are not suited for the intranet information retrieval because intranet information is frequently updated. Centralized search engines take a long time to collect web pages by robots. So, we have developed a distributed search engine, Cooperative Search Engine (CSE), to retrieve fresh information. In CSE, a local search engine located in each Web server makes an index of local pages. And, a Meta search server integrates these local search engines to realize a global search engine. CSE takes a few minutes to update index because each local search engine scans all files in its own disk. In this paper, we propose the notification mechanism using change aware distributed file system. As this result, we realize the real-time information retrieval.

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Temporal ranking for fresh information retrieval

Sato

Uehara

Sakai³

2003

Proceedings of the Sixth International Workshop on Information Retrieval With Asian Languages -

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In business, the retrieval of up-to-date, or fresh, information is very important. It is difficult for conventional search engines based on a centralized architecture to retrieve fresh information, because they take a long time to collect documents via Web robots. In contrast to a centralized architecture, a search engine based on a distributed architecture does not need to collect documents, because each site makes an index independently. As a result, distributed search engines can be used to retrieve fresh information. However, fast indexing alone is not enough to retrieve fresh information, as support for temporal information based retrieval is also required. In this paper, we describe temporal information retrieval in distributed search engines. In particular, we propose an implementation of temporal ranking.

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Reliable distributed search engine based on multiple meta servers

Cited by 3 publications

References 9 publications

FTF_IDF scoring for fresh information retrieval

FTF_IDF scoring for fresh information retrieval

A real-time retrieval system using change aware distributed file system

Temporal ranking for fresh information retrieval

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