바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

논문 상세

이전 다음
논문 투고

Vol.21 No.3
Citation Share

Invisible Web 탐색도구의 성능 비교 및 분석

The Effectiveness of the Invisible Web Search Tools

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2004, v.21 no.3, pp.203-225
https://doi.org/10.3743/KOSIM.2004.21.3.203
노정순 (한남대학교)
노정순. (2004). Invisible Web 탐색도구의 성능 비교 및 분석. 정보관리학회지, 21(3), 203-225, https://doi.org/10.3743/KOSIM.2004.21.3.203
  • 다운로드 수
  • 조회수
PDF 다운로드

초록

This study is to investigate the characteristics of the Invisible Web and many search services designed to serve as gateways to the Invisible Web and to evaluate searching the Invisible Web in the Services. The four services for searching the Invisible Web were selected to search the Invisible Web with 11 queries, that are Google as portals, ProFusion and Search.com as Invisible Web meta search engines, and IncyWincy as Invisible Web search engines. It was found that the effectiveness of Google's Invisible Web searching was better compared with the three Invisible Web search tools but the difference between the four systems was not significant(α=.055). The Invisible Web meta searching was better than the Web meta searching in the three search tools at the statistically significant level. The effectiveness measurement based on the ranks and relevance degree(quality) of relevant documents retrieved seemed appropriate to the ranked search results.攀＊＊＊한남대학교 문헌정보학과 교수(jsr@mail.hannam.ac.kr) 논문접수일자 : 2004년 8월 16일 게재확정일자 : 2004년 9월 18일攀攀

keywords
탐색성능, Invisible Web, Deep Web, Google, Search.com, ProFusion, IncyWincy, searching evaluation, meta engine, effictiveness, first-n precision.1. 연구의 목적

참고문헌

1.

노정순. (2000). 순위화시스템의 효과측정척도에 관한 연구. 정보관리학회지, 17(4), 67-81.

2.

우유미. (1998). 웹 검색엔진의 피드백 기능평가. 제5회 한국정보관리학회 학술대회 논문집, , 69-72.

3.

Albert. (1999). Diameter of the World-Wide Web. Nature, 401, 130-131.

4.

Bar-llan, Judit. (2002). Methods for measuring search engine performance over time. Journal of the American Society for Infor- mation Science and Technology, 53(4), 308-319.

5.

Bergman, Micheal K. (2009). The Deep web: surfacing hidden value. http://www.press.umich.edu/jep/07-01/bergman.html.

6.

(2009). Brightplanet.com/deepcontent/index.asp.. Brightplanet.com/deepcontent/index.asp..

7.

Cartwright, Jason. (2009). Search engine indexing and dynamic sites. http://www.webdev.vianetworks.co.uk/info/article-dynamic-seo.asp.

8.

Eliopoulos, D. (2003). Evaluating web search results rankings. Online, 27(2), 42-46.

9.

Gauch, S and G. Wang. (1996). Information fusion with Profusion. http://www.ittc.ku.edu/publications/documents/Gauch1996_WebNet96.pdf.

10.

Sherman, Chris. (2003). The Invisible Web: uncovering sources search engines can't see. Library Trends, 52(2), 282-298.

11.

Sullivan, D. (2002). Neilsen//NetRatings: searching engine ratings. http://www.searchenginewatch.com/reports/netratings.html.

12.

Hawking, D. (2001). Measuring search engine quality. Information Retrieval, 4(1), 33-59.

13.

Leighton, H. V. (1999). First 20 precision among world wide web search services. Journal of the American Society for Information Science and Technology, 50(10), 870-881.

14.

(2009). Web Characterization Project 의 Statistics. http://wcp.oclc.org/stats.html.

15.

Oppenheim, C. (2000). The Eva- luation of WWW search engines. Journal of Documentation, 56(2), 190-211.

16.

(2009). Search engine statistics: Dead links report. http://searchengineshowdown.com/stats/dead.shtml.

17.

Sherman, Chris. (2001). The Invisible Web: uncovering sources search engines can't see:CyberAge Book.

18.

Thelwall, M. (2002). In Praise of Google: finding law joural Web sites. Online Information Review, 26(4), 271-272.

19.

Vaughan, Liwen. (2004). New measurements for search engine evaluation proposed and tested. Informa- tion Processing and Management, 40(2), 677-691.

정보관리학회지

논문 투고 OA 정책