Information Retrieval Method for Frequently Updated Information System

  • Authors:
  • Nobuyoshi Sato;Takashi Yamamoto;Yoshihiro Nishida;Minoru Uehara;Hideki Mori

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • DNIS '00 Proceedings of the International Workshop on Databases in Networked Information Systems
  • Year:
  • 2000

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Abstract

In business system such as intranets, it is important to find valuable information from huge data in short term. A traditional centralized search engine is not suitable for this purpose because it is difficult to update the index database of collected documents quickly. So, we proposed Cooperative Search Engine (CSE) in which more than one local meta search engines cooperate. Even if a search engine does not have index information, it can get the information by asking other search engines which have the information. Furthermore, in CSE, each local meta search engine makes own index database individually without HTTP transfer. As this result, CSE reduces updating intervals less than one hour in the network which consists of 10 hosts with 104 documents. In this paper, we describe evaluations at both searching and updating in CSE.