Knowledge Engineering and Measure of Semantic Relatedness: Evaluation in the Domain of Multimedia,Used

Knowledge Engineering and Measure of Semantic Relatedness: Evaluation in the Domain of Multimedia,Used

In Stock
SKU: DADAX3659367184
Brand: LAP Lambert Academic Publishing
Sale price$113.92 Regular price$162.74
Save $48.82
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Knowledge management scalars over the past decades have developed a verity of techniques that tackle the problem of organizing and managing data, information and knowledge in our society. These techniques were used to manage knowledge on papers and intellectual knowledge as well some digital and binary ones. This research is aimed at evaluating existing Measure of Semantic Relatedness functions. The area that this study is intended for is Multimedia and its corresponding subdomains. This research takes an analytical approach toward figuring out the level of efficiency for MSR functions if they are to be applied in the domain of multimedia. More than 100 papers and articles on various subdomains of multimedia were analyzed in order to identify a batch of words for each subdomain which are most frequent and therefore more likely to be related to the domain of interest. Two set of back to back survey questionnaires were distributed among 89 lecturers of multimedia university. The results of the surveys were further analyzed to figure out the nature if relationship between the relatedness scores generated by MSR functions and those created by human opinion.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed