Commercial Online Databases and the Internet

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Commercial Online Databases and the Internet OSS ‘99 Global Information Forum May 24, 1999 Anne Caputo Dow Jones Interactive Publishing

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Commercial Online Databases and the Internet. OSS ‘99 Global Information Forum May 24, 1999 Anne Caputo Dow Jones Interactive Publishing. Traditional Search Services Challenge the Web. The Internet Searchoff September 1997-February 1998 Susan Feldman, DATASEARCH [email protected] Goal - PowerPoint PPT Presentation

Transcript of Commercial Online Databases and the Internet

Page 1: Commercial Online Databases and the Internet

Commercial Online Databases and the

Internet

OSS ‘99

Global Information ForumMay 24, 1999

Anne Caputo

Dow Jones Interactive Publishing

Page 2: Commercial Online Databases and the Internet

Traditional Search Services Challenge the Web

The Internet Searchoff• September 1997-February 1998• Susan Feldman, DATASEARCH

[email protected]

GoalCompare searching traditional online

services with World Wide Web • Effectiveness in finding information

• When to use which one

• Strengths of each approach

Page 3: Commercial Online Databases and the Internet

Searchoff Ground Rules

Be a trained, experienced searcherUse a real question from a clientSearch either Dialog or Dow Jones

InteractiveRelevance rank the results Rank the top 30 retrieved documents on a

scale of 1 to 5

Page 4: Commercial Online Databases and the Internet

Subjects Searched

Business Technology Medicine/Pharmaceuticals Science Humanities Engineering Other

38%

18%

14%

10%

8%

6%

6%

Page 5: Commercial Online Databases and the Internet

Web Search Engines Used

Alta Vista Hotbot Excite Infoseek Lycos Webferret

45%

20%

14%

14%

5%

2%

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0

200

400

600

800

1000

1200

1400

Relevance Points # Documents

Internet Search-Off Results

Web totals

Dlg/dj totals

W D

DW

484515

1400

1143

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Searching time

Total minutes searching time: DIALOG/DOW JONES: 594

minutes WWW search engines: 1230

minutes Plus formatting time

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Searching Assumptions:traditional search engines

Information exists on the subjectThe information is high qualityThe information is currentThe information is expensive

To find it, we need expertise and training to know how and where to search

It will be a surprise if we can’t find something

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Searching assumptions:World Wide Web

There MIGHT be information on the topicQuality and timeliness is unpredictableThe information is freeThere’s no telling how the search engine works

searching requires no skill searching requires no training

It will be a surprise if we find something

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Retrieved Documents by Relevance

350

306

38 34 26

147

52

108

60

111117

0

50

100

150

200

250

300

RANKED 1 RANKED 2 RANKED 3 RANKED 4 RANKED 5

Less Relevant More Relevant

Series1

Series2Web

-- DIALOG/Dow Jones

W w W

W

D

D

D

D

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Conclusion

DIALOG training has influenced an entire generation of searchers: we automatically shift into Boolean

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Digression:

Nested Boolean searches don’t take advantage of the strong points of Web search engines

Statistical search engines search a whole territory. Boolean engines search for a point in that territory

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Web Strategies

Map the territory: Use your searching skills to create lists of

related termsOmit Boolean operators;

Let the search engine work without interference

Put the most important and most rare words first

Use MORE LIKE THIS to improve results

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Web Strategies

Use phrases when possible to eliminate irrelevant materials

Ignore the useless hits and pursue the good ones

Don’t worry about finding six million documents. Just look at the top 30Rephrase the search Move to another search engine if you don’t

find anything

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Conclusions: traditional search services

Predictable archivesChemical EngineeringElectrical Engineering

StrengthsHistory and background on companies History and historical figuresMarket reports, industry reports

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Conclusions: traditional search services

Current drug studies (authoritative) Industry newsletters and journals Financial industry coverage Scholarly journal articles High quality information Quick searches when you know the information

is likely to be there

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Conclusions: The Web

Pictures and illustrationsSome conference coverage and papersProduct information comes from companySmall companies – products/ backgroundMedical statistics (current) If you know where to find the information

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Conclusions: use both

To supplement each other for: Standards Articles on topics of general interest Popular subjects Organizations Directory information Reviews/evaluations/how-to information

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Government regulations and other agency information

Competitive intelligenceObscure topicsClues for finding information on and offline

Conclusions: use both

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Conclusions: general

Time is money. Free information that takes too long to

find and format is expensive information The Web is a new tool.

We need to learn to use both online sources well

Vary strategies and approach to take advantage of each medium