Aftonbladet, Sweden’s leading daily newspaper, has installed Convera’s RetrievalWare search technology on its Swedish-language Web site, internal text archive and commercial photography site. As a result of the deployment, Aftonbladet’s 700,000 unique daily online visitors, staff of 500 and customer base of photo editors are able to more effectively locate the news stories, employment listings, electronic press clippings and images they need.

Aftonbladet’s Web site (www.aftonbladet.se) now carries nearly ten years of archived content and is the second most popular site in the Swedish Internet domain. According to Christer Lindblom, technical manager, Aftonbladet: “In additional to daily news content, the newspaper runs numerous supplements, from health features to TV guides and celebrity specials, so there is a lot of content on the site. RetrievalWare is extremely fast and scalable, and helps online users find an article in seconds, even when using Swedish-language synonyms.”

RetrievalWare also is at the heart of Aftonbladet’s internal text archive, which stores articles written by staff. This archive acts as an electronic clippings file, allowing writers to refer back to stories previously written to check facts or dates. The database currently stores articles dating back to 1988 with an index of microfiche documents stretching back another seven years. Aftonbladet plans to extend the archive to include older material, including newspapers dating back to the start of its publication in 1830.

Aftonbladet also uses RetrievalWare on another of its Web sites, where it sells photographs from the newspaper’s vast archives. Photo editors from smaller magazines and weekly tabloid newspapers are able to access the image library, download photographs over the Internet and pay for whatever images they use. RetrievalWare enables users to search the archive in its entirety or to restrict their search to photo captions, dates or particular photographers.

“RetrievalWare improves customer service enormously, enabling customers to find an image in a second or two, whereas with our previous search engine it could take up to 15 seconds,” added Lindblom.

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