Question

Case study 4-8

After reading chapter 4 and case study 4-8 carefully answer any two of the following questions:

Comment on the accuracy of the following quote regarding NASA Expert Seeker Web Miner
"Expertise was determined based on the assumption that if an experts’ name recurrently appears in many web documents along with a document key word, then the expert must have significant knowledge of the domain defined by the key word."

Do you agree with this assumption? Explain
What extra measures are necessary to improve the accuracy of this assumption?
Comment on the test precision by the CIO
If you were the decision maker and there were a discrepancy between the results of Expert Seeker Web Miner and the personal opinion of the CIO, which one would you rely on and why?
Comment on "the results showed a high precision for scientific skills as compared to managerial skill"
If you were in charge of developing a user specified database ( see table 1) and had to choose only five of the HR databases, which five would you use and why?
You are allowed and encouraged to use external resources to find and validate your answers- the only condition is full citation of your sources.

Answer 1

The accuracy of the assumption regarding the NASA Expert Seeker Web Miner depends on additional measures such as analyzing the quality and relevance of documents and verifying expertise through other means. If there is a discrepancy between the Miner and CIO's opinion, it is advisable to rely on both sources. The statement about high precision for scientific skills indicates the Miner's effectiveness in scientific domains.

Step-by-step explanation:

The accuracy of the assumption that if an expert's name recurrently appears in many web documents along with a document keyword, then the expert must have significant knowledge of the domain defined by the keyword depends on the context. While it can be a useful indicator, it is not foolproof. Experts may have their name mentioned for various reasons, including criticism or unrelated mentions. To improve the accuracy, additional measures could include analyzing the quality and relevance of the documents, considering the reputation and credibility of the sources, and verifying the expert's expertise through other means such as certifications or publications.

If there is a discrepancy between the results of the Expert Seeker Web Miner and the personal opinion of the CIO, it would be advisable to rely on a combination of both. The Expert Seeker Web Miner can provide objective data, while the CIO's personal opinion may offer valuable insights and contextual understanding. By considering both sources, a more informed decision can be made.

The statement that the results showed high precision for scientific skills compared to managerial skills indicates that the Expert Seeker Web Miner was more effective in identifying experts in scientific domains than in managerial domains. To choose five HR databases for a user specified database, it would be important to consider the specific needs and requirements of the project. Factors to consider could include the relevance of the database to HR needs, the reliability and trustworthiness of the database sources, the comprehensiveness and timeliness of the data, and the usability and compatibility of the database.