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FEDERE ARAMA KAVRAMI

FEDERE ARAMA KAVRAMI. DOK 422 Bilgi Ağları (Bahar 2006) Yaşar Tonta H.Ü. BBY. 3.-14. slaytlar için kaynak: Su-Shing Chen , Indexing Mathematical Abstracts by Metadata and Ontology IMA Workshop, April 26-27, 2004 , http://www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt .

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FEDERE ARAMA KAVRAMI

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  1. FEDERE ARAMA KAVRAMI DOK 422 Bilgi Ağları (Bahar 2006) Yaşar Tonta H.Ü. BBY 3.-14. slaytlar için kaynak: Su-Shing Chen, Indexing Mathematical Abstracts by Metadata and OntologyIMA Workshop, April 26-27, 2004,http://www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  2. Federe Arama • Farklı metadata uygulamaları, derme geliştirme politikaları, belge türleri, erişim algoritmaları vs. olan veri tabanları/havuzları üzerinde ortak arama yapılması

  3. Harvest API Harvester OAI_DC Data Mining Data Provider Service Provider DL Server Data Provider Service Provider OAI_XXX Federated Search A DL Server with OAI Extensions: Managing the Metadata Complexity Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  4. Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  5. A DL Server with OAI Extensions: Managing the Metadata Complexity Built in capabilities: • Harvester – harvest various OAI compliant data providers • Data provider – expose harvested and existing metadata sets • Service provider – federated search and data mining capabilities on metadata sets Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  6. Harvest API Data Providers • Harvester Interface: • URL to harvest • Selective harvesting • parameters harvest Harvester parameters harvest Harvested metadata … DL Server Harvester Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  7. Harvester Interface Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  8. Harvester Interface Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  9. Data Provider • Expose single or combined metadata sets harvested to other harvesters • Reformat metadata from different data providers to be harvested by other service providers (e.g., originally Dublin Core, reformat to MARC before exposing) Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  10. Service Provider: Federated Search • Emulating a federated search service on existing and combined harvested metadata sets • Federated search across potentially other search protocols Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  11. Federated Search Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  12. Federated Search Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  13. Federated Search Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  14. Service Provider: Data Mining • Knowledge discovery on harvested metadata sets • Metadata classification using the Self-Organizing Map (SOM) algorithm • Improving retrieval effectiveness by providing concept browsing and search services Kaynak: www.ima.umn.edu/talks/workshops/ 4-26-27.2004/chen/chen.ppt

  15. Henüz sonuç yok.

  16. NDLTD

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