| Traditionally we have used people to find books Web 2.0 we can use books to find people.. Traditionally we employ cataloguers to help the public Web 2.0 we can employ the public to help the cataloguers Traditionally we have restricted the ability to change our content Web 2.0 assumes that / encourages the community to shape the content Traditionally the books cannot speak and people were not encouraged to talk Web 2.0 is about self-description & communication in the community Traditionally we worry about the book and ignore the content Web 2.0 repackages content ignores pacakging Traditionally content has been treasured and access cheap Web 2.0 offsets the rise in the cost of access and makes content cheap Liszt's Transcendental EtudesWhen Brian Ventura, a financial analyst from Mount Vernon, New York, put the recording of Liszt's Transcendental Etudes credited to Hatto into his computer, the Gracenote database used by the iTunes software identified the disc not as a recording by Hatto but as one by László SimonBibliography?How simple can you get?COINs Just 5 pages with examplesWeb 2.0Bibliographic Standards Amazon ECS4 REST.. OAI-PMHMP3 vs PDFDesign Matters:a very different starting pointBibliographic metadata was designed for information retrieval of unique objects with the expectation that users would first have the metadata and use that to access the objectSo where should we be looking?In 1961 it was relatively easy to predict man would be on the moon by the end of the decade, what we all missed is that everyone would be at home watching it on colour TVsBooks > StuffPlace Definatives.. The new challengessocial reading, social writingFinding togetherSocialising the literature Reading Together:If only books could speakDesign Matters:MetadataClash of ideologiesOne thing we figured out a while ago is that merging two (or more) datasets with high quality metadata results in a new dataset with much lower quality metadata.... The "measure" of this quality is just subjective and perceptual, but it's a constant thing: everytime we showed this to people that cared about the data more than the software we were writing, they could not understand why we were so excited about such a system, where clearly the data was so much poorer than what they were expecting.Design Matters:The New Science of FindingDealing with noise and not signal Search has moved from signal amplification to noise suppression Signal & noise have the same characteristics but different modalities Lobachevsky
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