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David Loshin

Welcome to my BeyeNETWORK Blog. This is going to be the place for us to exchange thoughts, ideas and opinions on all aspects of the information quality and data integration world. I intend this to be a forum for discussing changes in the industry, as well as how external forces influence the way we treat our information asset. The value of the blog will be greatly enhanced by your participation! I intend to introduce controversial topics here, and I fully expect that reader input will "spice it up." Here we will share ideas, vendor and client updates, problems, questions and, most importantly, your reactions. So keep coming back each week to see what is new on our Blog!

About the author >

David is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. Loshin is the author of The Practitioner's Guide to Data Quality Improvement, Master Data Management, Enterprise Knowledge Management: The Data Quality Approachand Business Intelligence: The Savvy Manager's Guide. He is a frequent speaker on maximizing the value of information. David can be reached at loshin@knowledge-integrity.com or at (301) 754-6350.

Editor's Note: More articles and resources are available in David's BeyeNETWORK Expert Channel. Be sure to visit today!

I had a conversation the other day with one of my former colleagues, and I asked him his opinion about whether approximate matching and semantic techniques would be integrated into search engines. His response surprised me: he told me that he had read that over 90% of google searches involve a single word, and that in the absence of information, the engine didn't have that much to work with. Therefore, was it really worth it to add this increased functionality if, for the most part, it would add computation time but only benefit a small number of searchers?

That, of course, shocked me, but maybe it shouldn't have. I thought I was pretty good at googling, mostly because I was able to get pretty good results as a by-product of the feedback I get from each search. For example, you start with a phrase in quotes, and that may be sufficient. If not, you can scan the short results coming back to seek out better phrases to include (or exclude) from the search. Others are much more comprehensive in their searching, using qualifiers and key tokens to enhance their search (e.g., Johnny Long, who will be a keynote speaker at the upcoming Data Governance conference in San Francisco, at which I will also be speaking, by the way).

But perhaps the general computer user is not so sophisticated, and may need some suggestions. Anyone want to contribute their favorite search strategies?

Posted May 25, 2007 6:33 AM
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