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?
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© 1998 Springer-Verlag Berlin Heidelberg
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Baker, T., Klavans, J. (1998). Metadata and Content-Based Approaches to Resource Discovery. In: Nikolaou, C., Stephanidis, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1998. Lecture Notes in Computer Science, vol 1513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49653-X_73
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DOI: https://doi.org/10.1007/3-540-49653-X_73
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