The drops in Google PageRank ratings that plagued the blogosphere last week are a result of a data management abstraction layer Google has implemented to improve its search algorithm, according to an IT expert and author.
Sites such as WashingtonPost.com, Forbes.com and EnGadget.com, which have seen their PageRank scores fall, are seeing the first fruits of dataspaces.
Dataspaces is a technology incorporated in Googles search algorithm, which includes filters that sift out attempts by site owners to boost their PageRank rating against Googles Webmaster guidelines, said Stephen Arnold, who studies Googles patents and technical documents.
The technology, which is being implemented by Alon Halevy, a Google engineer and former University of Washington computer science professor with an extensive background in database mining and business intelligence, builds on Googles programmable search engine methodology.
“What people are reacting to is the first of a series of waves of Google technology designed to eliminate abuse, increase the type of ads that are available and, of course, Googles monetization,” Arnold told eWEEK Oct. 26.
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A Google spokesperson denied the connection, noting that dataspaces had nothing to do with search or PageRank. Google, secretive about works in progress, also declined to provide more information on how it is using dataspaces.
Arnold said that Google is using dataspaces to put different content in a single, relevance-ranked results list, and said as much in a paper, which he delivered at the Infonortics ICIC 2007 show in Spain Oct. 22.
“The idea is that instead of a single list of results from Web content or Google Books, the results list would present many types of content, each relevant to the query, and instantly accessible from the Google interface,” Arnold wrote in his paper, which concluded that Google has a solid foundation for data and text mining.
Google engineer Alon Halevy is the driving force behind dataspaces, and has written or co-authored several papers on the subject, including “Indexing with Dataspaces,” and “Dataspaces: The Next Frontier for Data Integration,” which he delivered as part of a lecture series at San Jose State University this year.
While dataspaces seem like a technology approach suited for enterprises, Halevy believes dataspaces should be applied to consumer-oriented applications, an approach that plays to Googles specialty.
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“I believe that the data management community should shift its focus away from enterprise computing and consider consumer-facing applications,” Halevy wrote on his Web page for the University of Washington.
Halevy created software maker Nimble Technology, which he sold to Actuate in 2003. He then founded Transformic, which developed an engine for searching databases that reside behind Web sites, and sold it to Google in 2006.
As much as dataspaces helps people find content, Arnold said it will help weed out sites where people are trying to “game” Googles ranking system through link farms and paid listings. Arnold believes his research highlights that Google is serious about providing search results uncompromised by scheming SEO (search engine optimization) efforts.
“People that squeal are behind the curve because their shortcuts are being caught out,” Arnold said, scoffing at the suggestion that Google is deliberately tweaking its PageRank system to mess with sites.
Arnold said the search algorithm is all math all of the time for Google, noting that if site operators followed the Webmaster guidelines set forth by Google, they wouldnt get hit with a lousy PageRank.
Arnold also predicted further tightening of the search algorithm via dataspaces in the coming weeks.
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