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A Design and Implementation of Meta Local Search System

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2019, 14(2), pp.183-192
  • DOI : 10.34163/jkits.2019.14.2.008
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : March 4, 2019
  • Accepted : April 12, 2019
  • Published : April 30, 2019

Choi, Jong Myung 1,  Iksu Kim 2

1목포대학교
2숭실대학교

Accredited

ABSTRACT

With the popularity of mobile devices with GPS, such as smart phones, search engine provides local search services based on user's current location. Users use local search to search for nearby famous restaurants, attraction places, or social events. However, current search engines support only searches for places, but they can not search information provided by search services from local institutes. For example, you can search for local libraries through local search, but you can not use the search service provided by the libraries from search engines. In this paper, we introduce the concept of meta local search which allows search engines to search information from local institute’s information services. Furthermore we will also introduce the design of meta local search systems, and its prototype system. The meta local search system has client-server architecture, and the client should be able to detect user’s location using GPS. We can design the server in three types. The first one is that the search engine keeps and manages all the information from the local institutes. This approach has the advantage of providing stable search service without local servers’ failure. The second approach is that the search engines can access the local institute’s servers when needed. Then it can quickly reflect the dynamic changes of the local information. Third, the search engine provides only meta information to the client, and this approach minimizes the costs for modifying the current search engines. In the paper, our prototype system follows the second approach for implementing the server. The server has its own search engine and it is able to dynamically connect with an external local institute’s information system to retrieve information. In the future, meta local search can be extended to stores or agencies in local area in the future.

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