Questions and suggestions

Hi Samprity,

Very nice job and interesting topic. After reading, I have several questions.

How do they get the relationship with the apple, fruit, food thing. Is it pre-setted relationship? or this is systematic obtained knowledge? According to the content of the files over the internet, the system study and learn knowledge like data mining?

I am a little confused actually about the second paper. If a search engine considers more semantic, how can it filter the results instead of adding more related links? for example, when i search for fruit, it gets not only fruit, but also apples, grapes, is not it? I think what google is now doing not only just based on the keyword searched, but also based on related hot level or the users' interest. For example, if we search apple, then the first page is all about the company, but not the fruit. Or what I think is that actually this semantic system, would try to provide user a more efficient search mode, for example, they might be able to rank different results referencing the probability.

Hi Dandan
The relationship with the apple, fruit, food is just an example for explaining how the algorithm works. The second paper considers the structure of the ontology while searching. So it ranks and gives results that are similar to the input query and filters out ontologies which have lower resultant vector value. A 3 words input would give you a better precision in the results than a 1 word input. Also these papers were written in 2004 and 2005. So google's api for ontology search must have changed from back then.