If a beaker contains water and a solute that dissolves endothermically in water, would the beaker feel hot or cold?…

I have had positive research experiences with Google Scholar but it has never been my first stop. As it continues to add content it may begin to be a top 5 stop instead of a last resort shop.

University librarians may benefit from incorporating this into the information literacy curricula. Luckily, I don’t have to make those kinds of calls. I just have to find the answer.

But, as a daily user of digital libraries, I find that Google Scholar does not help me with the highest-value use cases–namely, those where recall matters more than precision. Non-academic motives include prior art search for patents, supporting cases for freedom to operate, and competitive intelligence. Very similar to the concerns associated with discovery and compliance.

These and other applications call for a system that supports exploratory search. For example, take a look at the Faceted DBLP, e.g. http://dblp.l3s.de/?q=kolmogorov+&search_opt=all&synt_query_exp=none&resTableName=query_resultkeHoee&year_range=2003-2007&author_url=&resultsPerPage=100

From these results, even a non-expert might surmise that Kolmogorov is most known for Kolmogorov complexity, and that his work is relevant to clustering, machine learning, and data mining.