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Searching, Finding, Searching, Finding, and the Information and the Information Professional Professional Marydee Ojala Marydee Ojala Editor, Editor, ONLINE: The Leading ONLINE: The Leading Magazine for Information Magazine for Information Professionals Professionals

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Searching, Finding, and the Searching, Finding, and the Information ProfessionalInformation Professional

Marydee OjalaMarydee Ojala

Editor, Editor, ONLINE: The Leading ONLINE: The Leading Magazine for Information ProfessionalsMagazine for Information Professionals

Computers in Libraries, 2007Computers in Libraries, 2007 22

AgendaAgenda

• Searching

• Finding/Findability

• Search Techniques

• New Search Technologies

• Nontextual information

• The Future

Computers in Libraries, 2007Computers in Libraries, 2007 33

SearchingSearching

• Information professionals enjoy the “thrill of the chase”

• They understand how information is structured and where it is likely to be

• They know the intricacies of search engines, often exchanging tips on what has suddenly stopped working (~synonym on Google)

Computers in Libraries, 2007Computers in Libraries, 2007 44

SearchingSearching

• Information professionals sometimes forget when to stop

• They have problems with information overload: It makes them overlook things

• With more sources, more search engines, more searching possibilities, the process paradoxically takes longer

Computers in Libraries, 2007Computers in Libraries, 2007 55

FindingFinding

• This is what clients want

• A quick answer, no clue about sources

• Find me the data

• Why can’t I put one word in a search box and find what I want

• Non-Boolean mindset

• That’s why they’re not info pros

Computers in Libraries, 2007Computers in Libraries, 2007 66

FindingFinding

• Information professionals want to find answers as well

• They care about finding the correct, accurate, and timely answer

• They think about external sources before internal ones, which can be a mistake

Computers in Libraries, 2007Computers in Libraries, 2007 77

FindabilityFindability

• The flip side of finding

• Webmasters wanting their sites to be found

• How a site is architected

• Optimization, for good or ill

• The race to show up at the top of Web search engine results

Computers in Libraries, 2007Computers in Libraries, 2007 88

Premium Content FindabilityPremium Content Findability

• Expand to other markets (reputation monitoring, sales, back office management)

• Integrate with workflow

• New pricing models (pay per view)

• Become more intuitive, build search strategies behind the scenes

• Look more like Web search

Computers in Libraries, 2007Computers in Libraries, 2007 99

Web FindabilityWeb Findability

• Search is pervasive

• Search is unstable

• Gaming the system

• Quality issues

• Education issues

Computers in Libraries, 2007Computers in Libraries, 2007 1010

Search TechniquesSearch Techniques

• Traditional– Boolean– Pearl growing– Building blocks– Successive fractions

• Web– Squishy Boolean– Algorithms taking over

Computers in Libraries, 2007Computers in Libraries, 2007 1111

Web Search TechnologiesWeb Search Technologies

• Personalization

• Optimization

• Semantic clustering

• Automatic indexing

• Metadata

• Different databases

• Invisible, hidden web

Computers in Libraries, 2007Computers in Libraries, 2007 1212

PersonalizationPersonalization

• Web search engines know who you are and what you want

• Which is great for individuals

• But not so great for information professionals who want non-biased, non-personalized results

Computers in Libraries, 2007Computers in Libraries, 2007 1313

OptimizationOptimization

• Web search optimizer (SEO) community

• White hat; black hat

• Information professionals can learn a lot from them

• A good reason to set preferences to 50 or 100 rather than be satisfied with first 10

Computers in Libraries, 2007Computers in Libraries, 2007 1414

Semantic ClusteringSemantic Clustering

• Contextual search

• Words that are searched frequently retrieve related words

• Visible clustering– Clusty– Factiva

Computers in Libraries, 2007Computers in Libraries, 2007 1515

Automatic IndexingAutomatic Indexing

• Trying to automate the indexing process

• Identify company name

• Context plays a role here as well

• Works best with human oversight

Computers in Libraries, 2007Computers in Libraries, 2007 1616

MetadataMetadata

• Discredited as means to drive traffic to web site

• Highly useful in controlled environments

Computers in Libraries, 2007Computers in Libraries, 2007 1717

Different DatabasesDifferent Databases

• Each search engine has a different database

• In premium search, is it a database producer or an aggregator

• How does this affect indexing

Computers in Libraries, 2007Computers in Libraries, 2007 1818

Invisible, Hidden WebInvisible, Hidden Web

• Isn’t this rather quaint?

• Much more is no longer hidden– Formats– Older stuff

• Some, however, is purposefully gone

Computers in Libraries, 2007Computers in Libraries, 2007 1919

Nontextual, Nontraditional Nontextual, Nontraditional InformationInformation

• Audio files

• Video clips

• Images

• Blogs

• Groups

• Second Life

Computers in Libraries, 2007Computers in Libraries, 2007 2020

Searching NontextualSearching Nontextual

• An imprecise science, to say the least

• Precision/recall dubious

• Hum a few bars

• Describe your image

• You want a video with that?

• Viral marketing

Computers in Libraries, 2007Computers in Libraries, 2007 2121

Displaying Nontextual InformationDisplaying Nontextual Information

• Search versus display

• Delisting of results

• Graphic depictions of results

• Grokker at EBSCO, Gale

• Tag clouds at Factiva

Computers in Libraries, 2007Computers in Libraries, 2007 2222

Computers in Libraries, 2007Computers in Libraries, 2007 2323

Computers in Libraries, 2007Computers in Libraries, 2007 2424

Computers in Libraries, 2007Computers in Libraries, 2007 2525

Worst Case ScenarioWorst Case Scenario

• A controlled information environment

• High price doesn’t guarantee quality data

• Industry consolidation diminishes available information

• Consumerism and entertainment trump research

Computers in Libraries, 2007Computers in Libraries, 2007 2626

Best Case ScenarioBest Case Scenario

• Intuitive interfaces

• No licensing wars

• Information is accessible, available

• Producers are profitable

• Searchers are satisfied

• Searching and finding coalesce

Computers in Libraries, 2007Computers in Libraries, 2007 2727

Contact InformationContact Information

• Marydee Ojala

• Editor, ONLINE: The Leading Magazine for Information Professionals

• www.onlinemag.net

[email protected]