Jason Pontin, Editor in Chief and Publisher.
Mark Ostow

From the Editor

On Answers

Four kinds of search engines.

  • July/August 2009
  • By Jason Pontin

Search engines are knowledge systems that we ask, "What is known?" The answers we get reflect the questions the systems' designers allow, which in turn reflect designers' conceptions of what is knowable and useful to know.

The first search engines were not machines, and they didn't satisfy their users. The most famous of them all, the Oracle of Apollo at Delphi on the slopes of Mount Parnassus, issued prophecies for more than a thousand years. We possess more than 500 of the results of queries put to the Pythia, the priestess who presided over the Oracle. With exceptions, her answers were not helpful.

King Croesus of Lydia once asked the Oracle if he should wage war on the Persians, whose empire was expanding westward after a successful revolt against their rulers, the Medes. According to the historian Herodotus, the Pythia answered that if he did, he would destroy a great empire. Cautious, Croesus sent a large fee to the Delphians, and refined his search terms. He pressed: Would his reign be a long one? The answer, according to my battered Penguin translation by A. R. Burn, came back:

"When comes the day that a mule shall sit on the Median throne, then, tender-footed Lydian, by pebbly Hermus run and abide not, nor think it shame to be a coward."

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Opaque--but Herodotus writes, "This reply gave Croesus more pleasure than anything he had yet heard; for he did not suppose that a mule was likely to become king of the Medes, and that meant that he and his line would remain in power forever." Alert readers will have guessed the end. Croesus went to war; the empire he destroyed was his own. Cyrus, the king of the Persians, was half Persian and half Mede, and thus a kind of mule.

The answers of the Delphic Oracle abound in these sorts of tricky occlusions. Whoever designed the system at Delphi believed or pretended to believe that the future was known to the god Apollo, who chose (as a demonstration of the mutability of human affairs) to deliver through his priestesses prophecies that were obscure, but that retrospectively provided dramatic satisfaction. A rationalist will suspect that obscure answers had another function: they could apply equally well to different outcomes. In any case, the turbidity of the Oracle's answers was its virtue.

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In this month's cover story ("Search Me"), Technology Review's chief correspondent, David Talbot, describes how the Web is usually searched: "Among all the leaders in Web search ... the core approach has remained the same. They create massive indexes of the Web--that is, their software continually 'crawls' the Web, collecting phrases, keywords, titles, and links." Talbot examines some of the technical limitations of this method. But the notion that a search should produce a list of links to Web pages represents a view of what is knowable and what is useful to know that is as specific as that which made the Delphic Oracle. Traditional search is chaotically democratic. It assumes that the consensus view is the best, while rewarding the wayward answer by exposing it to the curious. The truths of traditional search are provisional. Popularity is virtue.

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kotorov

1 Comment

  • 955 Days Ago
  • 07/04/2009

Getting answers through converging technologies

Search has to be put in the broader context of information inquiry, i.e., as one method to obtain “answers.” Some inquiries can be satisfied by matching search words to documents; others by querying and analyzing numeric data; etc. Most likely one type of inquiry will lead to another as knowledge acquisition is an iterative process. A person may use search to find a product and then drill-down with a query for more information on sales, forecasts, inventory levels, etc.  In this case search and business intelligence technologies are converging to broaden the scope of inquiries that can be satisfied from a single Google-like interface. Methods are also emerging to provide users with hints to refine their inquiries, such as faceted navigation (Endeca) and dynamic categorization (Information Builders). Different “answers” frequently require different methods of inquiry, and this will drive continuous emergence of new and more specialized search and query technologies. As users we will benefit the most from the convergence and mashing up of these technologies to build custom ‘information retrieval’ applications that can satisfy very targeted information inquiries.

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