Web Search Engines and Online Databases Solving the User Query “Causes and spread of the Ebola...
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Transcript of Web Search Engines and Online Databases Solving the User Query “Causes and spread of the Ebola...
Web Search Engines and Online DatabasesSolving the User Query“Causes and spread of the Ebola virus and Precautions one should take.”
Information Access and Retrieval
What is the True information need?
The Query
The Information Need
The basis of much of the interaction between librarians and information users begins with questions that require answers. In this case the question the parent is asking is an assessment of Ebola virus and the risk that it imposes to her family.
• Current events and national media attention on Ebola • User has no medical background• General understanding of the virus• History of the virus• Accurate assessment of the virus as a real threat
Search #1
The first was just a general search of the word Ebola.
Out of the first ten results, seven were viewed as relevant to my patron’s information need
• precision ratio of 0.7 • governmental sources• international sources• good reputation
Search #2
Search performed with Boolean Logic: Ebola AND prevention.
Out of the first ten results, six were viewed as relevant to my patron’s information need
• precision ratio of 0.6 • some repeat hits• good reputation
Search #3
Search performed a search with Boolean Logic: Ebola AND prevention AND transmission.
Out of the first ten results, six were viewed as relevant to my patron’s information need
• precision ratio of 0.6 • new article about transmission
Search Engine Results
Search Engine ResultsSearch #4For the fourth and final search, I performed a search with Boolean Logic: Ebola AND children. Out of the first ten results, two were viewed as relevant to my patron’s information need, giving this search a precision ratio of 0.2.
All searches provided useful information
Search parameters and relevancy
(3) Searches yielded high precision
Search with “children” altered results
Google Web Search Break Down
Search engine provided quality resultsSearches provided patron useful info
Search #1
Broad search of just the word Ebola.
I determined that three were pertinent to the user’s query
• precision ratio of 0.15 • 1,471 retrieved results• results were relevant• 17/20 not query relevant
Search #2
I chose the keyword Children, which produced eight results.
The two results which I deemed relevant gave an overview of Ebola
• precision ratio of 0.25 • 6 results not relevant
Search #3
Search performed a search with Boolean Logic: Ebola AND transmission AND prevention
Out of the first twenty results, six were viewed as relevant to my patron’s information need
• precision ratio of 0.3 • 106 results
Database Results
Database ResultsSearch #3Previous searches produced lower precision. Results in the previous searches were relevant, just not pertinent to the patron’s query. The final search, with the highest precision, was the only search to produce results completely not relevant to the query.
All searches provided useful informationSearches took about twenty minutesKeywords: transmission and prevention
Resources met the patron’s need
MedlinePlus Database Break Down
Medline provided mostly quality results
No results hyperbolized risk or danger
Web Search Engine versus the Online Database
• Google Search and the Medline database returned relevant results to satisfy the user query
• Medline results were relevant to the general topic more often than user query
• Examples of not relevancy in Medline: Animal Ebola and Transmission in Africa
• Google search ads and news articles could sensationalize issue
• In Medline, no results hyperbolized the risk or misled the reader of the dangers of Ebola
• Search engine yielded higher precision relevant to query
Questions?