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- W1584121606 abstract "Researchers in multilingual information retrieval and natural language processing are making progress on algorithms for guessing what a text is about and for translating queries between languages; some day we may have reliable programs for recognizing musical melodies or the content of images. In contrast, researchers in metadata focus more on seeking consensus on the meanings of categories for describing resources; on finding ways to allow simple schemas to interoperate with complex ones; and on designing frameworks for managing the messy equivalencies between metadata models in different fields and languages. Do the two perspectives form a continuum? What problems do they solve best? For resource discovery, what is the best balance between human and machine?." @default.
- W1584121606 created "2016-06-24" @default.
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- W1584121606 date "1998-01-01" @default.
- W1584121606 modified "2023-09-24" @default.
- W1584121606 title "Metadata and Content-Based Approaches to Resource Discovery" @default.
- W1584121606 doi "https://doi.org/10.1007/3-540-49653-x_73" @default.
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